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Read original →The Female Scientist Who Went Uncited by the Inventor
Why 40% women in Russian science is not yet a success story, and how 10 million articles and 60 million patent citations reveal where the economy is losing money.

There's one statistic that usually shuts down any conversation about women in science. In Russia, women make up nearly 40% of researchers—128,900 out of 339,100. That's more than in Germany, France, Japan, and the Republic of Korea. Case closed, it would seem. Now let's look at the same statistics from a different angle. The largest segment of Russian science is the technical sciences: 205,100 people work there, more than half of all researchers. The share of women in this segment is 31.5%. And among those entering doctoral programs in technical fields, it's just 15.9%. In other words, women represent 61.9% in the humanities and 60.6% in medicine, but in fields where robotics, new materials, energy, and artificial intelligence are being developed, they're outnumbered four to one in the incoming pipeline. The average figure of 40% is an aggregate of two very different sciences. And economically, they operate in completely different ways.
A Funnel, Not a Share
The right way to measure the gender gap in science isn't a snapshot but a trajectory: STEM education → scientific career → project leadership → corporate R&D → patents → technology transfer → implementation. The economic impact doesn't occur when a diploma is awarded, but when a researcher controls a budget, chooses a research direction, and brings results to production.
UNESCO's global statistics describe this funnel with three numbers: women represent about 35% of STEM graduates, about 22% of those employed in STEM in G20 countries, and roughly one in ten leadership positions in the sector. A third are lost between education and employment, and half of those remaining between employment and leadership.
In academies of science, the picture is even starker: according to research covering 136 scientific organizations, in 2025 women comprised 19% of national academy members—up from 16% in 2020 and 12% in 2015. There's progress, but academies set scientific priorities and indirectly influence funding allocation. Whoever sits in those halls decides where science funding goes.
Where Exactly the Money Gets Lost
The most surprising research on this topic appeared in Administrative Science Quarterly. The authors analyzed more than 10 million scientific articles and 60,424,104 citations from patents to scientific publications, adding "twin articles"—cases where two teams obtained similar results almost simultaneously—and an online experiment. The conclusion: inventors more often rely on scientific results associated with men. In the experiment, abstracts presumably written by men attracted more attention and were rated as more significant—despite comparable content.
Consider the economics of this fact. The state has already funded the research. The result has already been obtained and published. And only at the stage when business chooses which science to develop does a portion of quality ideas simply fall off the radar. Money spent, impact unrealized—and no report captures this loss.
Diversity Alone Doesn't Work
Companies hoping to solve the problem through hiring should read a twelve-year panel study of 552 corporate R&D units published in the Journal of Management. The authors distinguished two concepts: diversity (men and women are present in the unit) and rank equality (they are proportionally represented at all hierarchical levels). Innovation performance is linked specifically to the latter—to the combination of diversity and rank equality: broader search for external knowledge, better use of others' developments, higher-quality implementation. Simply increasing the number of women in the lab produces no effect. What works isn't presence, but authority.
Chinese data confirm this from another angle. Women led 23.3% of National Natural Science Foundation projects—but only 8.1% in the most prestigious Key Program category. Yet gender-balanced teams published more regardless of the leader's gender.
What's Already Proven to Work
Support measures abound worldwide, but proven ones are scarce: a systematic review of 180 studies from 1991–2026 found that only 31 papers actually evaluated the effectiveness of implemented programs. That makes the exceptions all the more valuable.
The World Intellectual Property Organization studied the phased enrollment of 608 organizations from 80 countries in the Hinari program, which provides subsidized access to scientific literature; the database included more than 800,000 publications. Digital access increased the share of women among publishing researchers by 2–9%, and their contribution to publication output by 3–30%, with the strongest effects in places where starting conditions were worst. Journal subscriptions proved more effective than many campaigns.
Three numbers for BRICS+
What to do about all this
Measure conversion rates, not just shares. Track how many women progress from STEM degrees to leading grants, securing patents, and launching tech startups.
Measure authority. Women among lab directors, principal investigators, grant council members, and academy fellows.
Build shared digital infrastructure for BRICS+. Joint subscriptions, access to data and computing power—the cheapest proven measure.
Focus on outputs, not inputs. Gender analysis of patent citations, transparent selection of university developments for accelerators.
For Russia—focus on technical sciences. Engineering, AI, robotics, new materials, energy: these have the lowest share of women and the highest economic returns.
An important caveat: none of these studies allows us to say that increasing the share of women in science will add a specific percentage point to GDP. All the compelling research from 2025–2026 measures effects at the level of teams, publications, patents, and technology transfer. But it's precisely these levels that technological development is built upon.
The question worth asking is not "how many women do we have in science," but rather "how many ideas have we failed to implement because we overlooked their author."