On the public citation graph
Gender stereotype and the scientific career of women: Evidence from biomedical research centers
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11199-011-0036-zopenalex-snapshot
Implicit Science Stereotypes Mediate the Relationship between Gender and Academic Participation
inferredcites →https://doi.org/10.1007/s11199-012-0209-4openalex-snapshot
Women in Science, Technology, Engineering, and Mathematics (STEM): An Investigation of Their Implicit Gender Stereotypes and Stereotypes’ Connectedness to Math Performance
inferredcites →https://doi.org/10.1007/s11218-013-9232-8openalex-snapshot
Do gender–science stereotypes predict science identification and science career aspirations among undergraduate science majors?
inferredcites →https://doi.org/10.1016/j.respol.2018.02.009openalex-snapshot
The gender gap in early career transitions in the life sciences
inferredcites →https://doi.org/10.1016/s0140-6736(18)32611-4openalex-snapshot
Are gender gaps due to evaluations of the applicant or the science? A natural experiment at a national funding agency
inferredcites →https://doi.org/10.1016/s0140-6736(18)33138-6openalex-snapshot
Working toward gender diversity and inclusion in medicine: myths and solutions
inferredcites →https://doi.org/10.1037//0022-3514.74.6.1464openalex-snapshot
Measuring individual differences in implicit cognition: The implicit association test.
inferredcites →https://doi.org/10.1037/0022-3514.74.6.1464openalex-snapshot
Measuring individual differences in implicit cognition: The implicit association test.
inferredcites →https://doi.org/10.1037/0022-3514.83.1.44openalex-snapshot
Math = male, me = female, therefore math ≠ me.
inferredcites →https://doi.org/10.1037/0022-3514.85.2.197openalex-snapshot
Understanding and using the Implicit Association Test: I. An improved scoring algorithm.
inferredcites →https://doi.org/10.1037/e558442013-001openalex-snapshot
Women, Minorities, and Persons with Disabilities in Science and Engineering: 2013
inferredcites →https://doi.org/10.1037/edu0000005openalex-snapshot
Women’s representation in science predicts national gender-science stereotypes: Evidence from 66 nations.
inferredcites →https://doi.org/10.1038/495022aopenalex-snapshot
Inequality quantified: Mind the gender gap
inferredcites →https://doi.org/10.1038/504211aopenalex-snapshot
Bibliometrics: Global gender disparities in science
inferredcites →https://doi.org/10.1038/nbt.4274openalex-snapshot
Gender disparities among independent fellows in biomedical research
inferredcites →https://doi.org/10.1038/ngeo2819openalex-snapshot
Gender differences in recommendation letters for postdoctoral fellowships in geoscience
inferredcites →https://doi.org/10.1038/s41550-017-0141openalex-snapshot
Quantitative evaluation of gender bias in astronomical publications from citation counts
inferredcites →https://doi.org/10.1038/s41562-019-0686-3openalex-snapshot
Committees with implicit biases promote fewer women when they do not believe gender bias exists
inferredcites →https://doi.org/10.1073/pnas.0809921106openalex-snapshot
National differences in gender–science stereotypes predict national sex differences in science and math achievement
inferredcites →https://doi.org/10.1073/pnas.0901265106openalex-snapshot
Gender, culture, and mathematics performance
inferredcites →https://doi.org/10.1073/pnas.1211286109openalex-snapshot
Science faculty’s subtle gender biases favor male students
inferredcites →https://doi.org/10.1073/pnas.1314788111openalex-snapshot
How stereotypes impair women’s careers in science
inferredcites →https://doi.org/10.1073/pnas.1403334111openalex-snapshot
Elite male faculty in the life sciences employ fewer women
inferredcites →https://doi.org/10.1097/acm.0000000000001099openalex-snapshot
Reducing Implicit Gender Leadership Bias in Academic Medicine With an Educational Intervention
inferredcites →https://doi.org/10.1126/science.1160364openalex-snapshot
Gender Similarities Characterize Math Performance
inferredcites →https://doi.org/10.1126/science.1165878openalex-snapshot
The Gender Gap in NIH Grant Applications
inferredcites →https://doi.org/10.1126/science.1261375openalex-snapshot
Expectations of brilliance underlie gender distributions across academic disciplines
inferredcites →https://doi.org/10.1126/science.337.6102.1592openalex-snapshot
U.S. Study Shows Unconscious Gender Bias in Academic Science
inferredcites →https://doi.org/10.1177/0146167204271418openalex-snapshot
Understanding and Using the Implicit Association Test: II. Method Variables and Construct Validity
inferredcites →https://doi.org/10.1177/0146167205275613openalex-snapshot
A Meta-Analysis on the Correlation Between the Implicit Association Test and Explicit Self-Report Measures
inferredcites →https://doi.org/10.1177/0956797618813087openalex-snapshot
Patterns of Implicit and Explicit Attitudes: I. Long-Term Change and Stability From 2007 to 2016
inferredcites →https://doi.org/10.1371/journal.pone.0145931openalex-snapshot
On the Compliance of Women Engineers with a Gendered Scientific System
inferredcites →https://doi.org/10.3389/fpsyg.2015.00415openalex-snapshot
On the gender–science stereotypes held by scientists: explicit accord with gender-ratios, implicit accord with scientific identity
inferredcites →https://doi.org/10.7554/elife.21718openalex-snapshot
Gender bias in scholarly peer review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1177/01655515221074327openalex-snapshot
Gender differences in citation sentiment: A case study in life sciences and biomedicine
inferred← citeshttps://doi.org/10.3389/fpsyg.2023.1178921openalex-snapshot
Gender-related issues in a Taiwanese university medical science laboratory setting: a qualitative analysis
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