Get AI summaries of any video or article — Sign up free
How top professors produce 20 research papers in Q1 journals every year thumbnail

How top professors produce 20 research papers in Q1 journals every year

Academic English Now·
5 min read

Based on Academic English Now's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Redefine productivity as output divided by input; more hours only help if output rises proportionally.

Briefing

Top researchers who publish around 20 or more papers each year in Q1 journals do it through leverage—not by working longer hours or writing more words. The core productivity shift is simple: productivity is output divided by input. If two researchers spend the same time and effort but one produces far more Q1 publications, that person is effectively “10 times more productive.” The practical implication is that the path to higher output is not burnout; it’s increasing the amount of publishable work generated per unit of time.

That leverage comes in three linked forms: proficiency, people, and processes. Proficiency is the skill gap. The transcript frames the inability to reach 20 Q1 papers annually as largely a training and capability issue—researchers who can publish at that level have stronger bottleneck skills, and improving those skills can dramatically shorten the time from idea to submission. Examples are given of deliberate learning (including online courses, books, and structured training totaling at least 20 hours) and claims that coaching or training can cut submission timelines from roughly six months to as little as four weeks. The message is that faster drafting and submission are downstream of targeted skill-building.

People provide the second multiplier. A professor cannot personally run all experiments, collect data, write every manuscript, and manage reviewer cycles. The transcript describes a pyramid structure: the professor sets strategy and oversees a layer of postdocs, who often lead grant applications and supervise PhD students, who in turn delegate smaller tasks to master’s students. Literature reviews, experiments, and thesis components are broken into smaller deliverables that roll upward into drafts. In this model, the professor receives manuscripts that have already been revised multiple times, effectively “cloning” their time—at least in theory—so one hour of professor attention can generate far more downstream work.

The third element—processes—is presented as the real limiter that keeps many academics stuck at three to five Q1 papers per year. Without standard operating procedures, hiring becomes guesswork: postdocs and PhD students receive broad topics but no step-by-step guidance. The result is slow progress, repeated confusion, low-quality drafts, and frustration on both sides, along with wasted months and even stalled degrees. By contrast, top performers systematize publishing and grant writing “from A to Z,” including how to conceive research ideas, conduct studies, write manuscripts, submit, and respond to reviewers.

When onboarding is paired with repeatable procedures, new team members can execute tasks correctly from the start. A cited case involves a client named Helen producing a systematic literature review from scratch in 42 days (about six weeks) despite starting without prior knowledge of what a systematic review entails. The transcript contrasts this with typical timelines of six months, arguing that process-driven training can yield large productivity gains. The takeaway is that professors who invest at least one hour per week building and refining these SOPs can reduce rework, improve quality, and scale output without simply increasing workload.

Cornell Notes

Publishing 20+ Q1 papers annually is framed as a leverage problem, not a time problem. Productivity is defined as output divided by input, so equal effort can still yield radically different results if the output pipeline is more efficient. Leverage comes from three areas: proficiency (closing skill bottlenecks), people (building a team pyramid where tasks are delegated upward), and processes (standard operating procedures that make onboarding and execution repeatable). Without SOPs, researchers spend months stuck on basic questions and produce weak drafts, which also harms completion rates. With SOPs, new postdocs and PhD students can deliver higher-quality work earlier, letting professors focus on higher-value strategy and collaborations.

How does the transcript redefine “productivity,” and why does that matter for publishing in Q1 journals?

Productivity is defined as output divided by input. That means working more hours or writing more words doesn’t automatically increase productivity if the output doesn’t rise proportionally. Under this definition, a researcher producing ~20 Q1 papers while another produces ~2 using the same time and effort is portrayed as roughly “10 times more productive,” because the output per unit input is higher. The practical takeaway is that increasing publication volume should come from leverage in the workflow, not from longer workweeks.

What are the three leverage mechanisms for high Q1 publication output?

The transcript names three: (1) Proficiency—improving the specific skills that block faster paper and grant production; (2) People—using a team structure so the professor doesn’t personally do every experiment, draft, and reviewer response; and (3) Processes—creating standard operating procedures for each step from idea conception to submission and reviewer replies. The claim is that proficiency and people help, but missing processes is what keeps many academics from scaling beyond a few papers per year.

How does the “pyramid” model of staffing translate into more papers?

The professor sits at the top, sets vision/strategy, and manages postdocs. Postdocs often apply for grants, lead projects, and supervise PhD students. PhD students may delegate smaller tasks to master’s students. For example, a master’s student might conduct a literature review and do simpler experiments; those outputs feed into a PhD student’s paper, which is then revised and coordinated by the postdoc before the professor gives final approval. The professor’s time is concentrated on higher-level review because drafts have already been revised multiple times.

Why does the transcript argue that hiring alone doesn’t solve low publication output?

Hiring without SOPs leaves postdocs and PhD students without step-by-step guidance. The transcript describes a common failure mode: broad instructions are given, then the team struggles for months, asks basic questions, and produces poor drafts. Professors become frustrated because the work doesn’t match expected standards, and reviewer cycles can worsen the delays. The result is suboptimal output and wasted time—sometimes even leading to PhD students quitting before finishing.

What does “process” mean in this context, and what would an SOP cover?

Processes are described as standard operating procedures for the entire research and publishing pipeline. The transcript claims top performers systematize tasks from conceiving research ideas, conducting the study, writing up results, submitting to journals, and responding to reviewers. With SOPs, onboarding becomes faster because new team members know exactly what to do on their first tasks, reducing rework and improving draft quality.

What example is used to illustrate process-driven speedups?

A client named Helen is cited as writing a systematic literature review from scratch in 42 days (about six weeks) after starting without knowing what a systematic literature review was. The transcript contrasts this with a typical six-month timeline for similar work, framing the difference as the effect of following a proven process rather than starting from scratch.

Review Questions

  1. If productivity equals output divided by input, what specific changes would you measure to prove leverage in a research workflow?
  2. Which part of the three leverage mechanisms (proficiency, people, processes) would you prioritize first if new hires repeatedly ask basic questions and produce weak drafts?
  3. How would you design an SOP for one step of the publication pipeline (e.g., responding to reviewers) so that a new postdoc could execute it without constant supervision?

Key Points

  1. 1

    Redefine productivity as output divided by input; more hours only help if output rises proportionally.

  2. 2

    Treat high Q1 publication volume as leverage: increase output per unit time through skills, staffing, and workflow design.

  3. 3

    Build proficiency by identifying the specific bottlenecks in paper/grant production and training them with deliberate practice.

  4. 4

    Use a team pyramid so postdocs and PhD students handle delegated tasks, feeding revised drafts upward to the professor.

  5. 5

    Create standard operating procedures for the full pipeline—idea, execution, writing, submission, and reviewer responses—to prevent months of confusion and rework.

  6. 6

    Onboard new researchers with repeatable instructions so early tasks are done correctly and quality improves before professor-level editing.

  7. 7

    Invest weekly time in developing and refining SOPs to reduce wasted effort and scale publication output without simply increasing workload.

Highlights

The transcript frames Q1 publication success as a leverage problem: productivity is output per input, not busyness.
A staffing pyramid (professor → postdoc → PhD → master’s) is used to delegate work so drafts reach the professor already revised multiple times.
Standard operating procedures are presented as the missing ingredient that keeps many academics stuck at a few Q1 papers per year.
Helen’s systematic literature review example—42 days from scratch—serves as a concrete illustration of process-driven speedups.

Topics

Mentioned