Molly M. King

1.2k total citations · 1 hit paper
14 papers, 638 citations indexed

About

Molly M. King is a scholar working on Gender Studies, Statistics, Probability and Uncertainty and Sociology and Political Science. According to data from OpenAlex, Molly M. King has authored 14 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Gender Studies, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Sociology and Political Science. Recurrent topics in Molly M. King's work include scientometrics and bibliometrics research (5 papers), Diversity and Career in Medicine (4 papers) and Gender Diversity and Inequality (2 papers). Molly M. King is often cited by papers focused on scientometrics and bibliometrics research (5 papers), Diversity and Career in Medicine (4 papers) and Gender Diversity and Inequality (2 papers). Molly M. King collaborates with scholars based in United States and Netherlands. Molly M. King's co-authors include Shelley J. Correll, Jennifer Jacquet, Carl T. Bergstrom, Jevin D. West, Jeffrey W. Lockhart, Christin L. Munsch, Jeremy Freese, Paul McGinnis, Kjersten Bunker Whittington and LeAnn Michaels and has published in prestigious journals such as Nature, PLoS ONE and Scientometrics.

In The Last Decade

Molly M. King

11 papers receiving 616 citations

Hit Papers

The Role of Gender in Scholarly Authorship 2013 2026 2017 2021 2013 100 200 300 400 500

Peers

Molly M. King
Allison C. Morgan United States
Bahar Mehmani Netherlands
Carole J. Lee United States
Sharla Alegria United States
Romy van der Lee Netherlands
Sam Zhang United States
Allison C. Morgan United States
Molly M. King
Citations per year, relative to Molly M. King Molly M. King (= 1×) peers Allison C. Morgan

Countries citing papers authored by Molly M. King

Since Specialization
Citations

This map shows the geographic impact of Molly M. King's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Molly M. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Molly M. King more than expected).

Fields of papers citing papers by Molly M. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Molly M. King. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Molly M. King. The network helps show where Molly M. King may publish in the future.

Co-authorship network of co-authors of Molly M. King

This figure shows the co-authorship network connecting the top 25 collaborators of Molly M. King. A scholar is included among the top collaborators of Molly M. King based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Molly M. King. Molly M. King is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Lockhart, Jeffrey W., Molly M. King, & Christin L. Munsch. (2024). Who Authors Social Science? Demographics and the Production of Knowledge. Social Currents. 12(1). 17–29. 3 indexed citations
2.
Lockhart, Jeffrey W., Molly M. King, & Christin L. Munsch. (2023). Computer algorithms infer gender, race and ethnicity. Here’s how to avoid their pitfalls. Nature.
3.
Lockhart, Jeffrey W., Molly M. King, & Christin L. Munsch. (2023). Name-based demographic inference and the unequal distribution of misrecognition. Nature Human Behaviour. 7(7). 1084–1095. 35 indexed citations
4.
Whittington, Kjersten Bunker, et al.. (2023). Structure, status, and span: gender differences in co-authorship networks across 16 region-subject pairs (2009–2013). Scientometrics. 129(1). 147–179. 5 indexed citations
5.
King, Molly M.. (2023). Self-publishing is common among academic-journal editors. Nature. 613(7944). 445–446.
6.
King, Molly M.. (2023). Paying Attention to the Pandemic: Knowledge of COVID-19 Facts by News Source and Demographics. American Behavioral Scientist. 69(9). 1113–1137. 1 indexed citations
7.
King, Molly M., et al.. (2022). The Undergraduate RA: Benefits and Challenges for Sociology Faculty and Research Assistants. Teaching Sociology. 51(2). 113–126.
8.
King, Molly M., et al.. (2022). Teaching & learning guide for disability and climate justice. Sociology Compass. 16(6). 1 indexed citations
9.
King, Molly M., et al.. (2021). Disability and climate change: A critical realist model of climate justice. Sociology Compass. 16(1). 15 indexed citations
10.
Frederickson, Megan E. & Molly M. King. (2020). The gendered effects of COVID-19 on scientific productivity. OSF Preprints (OSF Preprints). 1 indexed citations
11.
Freese, Jeremy & Molly M. King. (2018). Institutionalizing Transparency. Socius Sociological Research for a Dynamic World. 4. 12 indexed citations
12.
West, Jevin D., Jennifer Jacquet, Molly M. King, Shelley J. Correll, & Carl T. Bergstrom. (2013). The Role of Gender in Scholarly Authorship. PLoS ONE. 8(7). e66212–e66212. 549 indexed citations breakdown →
13.
Gupta, Agam, et al.. (2013). Critical connectivity in banking networks. Scholar Commons (Santa Clara University). 1 indexed citations
14.
Fagnan, Lyle J., David A. Dorr, Melinda M. Davis, et al.. (2011). Turning on the Care Coordination Switch in Rural Primary Care. Journal of Ambulatory Care Management. 34(3). 304–318. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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