Evelynn M. Hammonds

2.5k total citations · 1 hit paper
33 papers, 1.2k citations indexed

About

Evelynn M. Hammonds is a scholar working on Sociology and Political Science, Genetics and General Health Professions. According to data from OpenAlex, Evelynn M. Hammonds has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 9 papers in Genetics and 3 papers in General Health Professions. Recurrent topics in Evelynn M. Hammonds's work include Race, Genetics, and Society (7 papers), Genetic Associations and Epidemiology (2 papers) and BRCA gene mutations in cancer (2 papers). Evelynn M. Hammonds is often cited by papers focused on Race, Genetics, and Society (7 papers), Genetic Associations and Epidemiology (2 papers) and BRCA gene mutations in cancer (2 papers). Evelynn M. Hammonds collaborates with scholars based in United States, Australia and Canada. Evelynn M. Hammonds's co-authors include Susan M. Reverby, Alexandra E. Shields, Paul A. Heiney, R. J. Birgeneau, Paul Horn, Lundy Braun, Caryn Lerman, Mike Fortun, Rayna Rapp and Patricia A. King and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

Evelynn M. Hammonds

31 papers receiving 1.0k citations

Hit Papers

Getting genetic ancestry ... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Evelynn M. Hammonds United States 15 354 300 147 130 106 33 1.2k
Ann Gibbons United Kingdom 20 232 0.7× 132 0.4× 152 1.0× 166 1.3× 46 0.4× 287 1.8k
Stefan Eriksson Sweden 26 99 0.3× 501 1.7× 685 4.7× 564 4.3× 148 1.4× 122 2.2k
Lei Duan China 24 134 0.4× 135 0.5× 55 0.4× 172 1.3× 126 1.2× 93 1.9k
Joseph S. Alper United States 21 459 1.3× 85 0.3× 181 1.2× 55 0.4× 20 0.2× 103 1.8k
Richard E. Davis United States 22 121 0.3× 494 1.6× 71 0.5× 62 0.5× 31 0.3× 74 2.3k
Sally Haslanger United States 24 104 0.3× 1.5k 4.9× 78 0.5× 136 1.0× 288 2.7× 59 3.1k
Emily Peterson United States 20 91 0.3× 524 1.7× 369 2.5× 544 4.2× 177 1.7× 47 2.1k
Eric Stover United States 22 195 0.6× 764 2.5× 33 0.2× 252 1.9× 124 1.2× 73 1.5k
Michael J. Crawford United States 25 117 0.3× 99 0.3× 402 2.7× 45 0.3× 30 0.3× 94 2.7k
Sara Green Denmark 24 111 0.3× 259 0.9× 173 1.2× 334 2.6× 34 0.3× 77 2.1k

Countries citing papers authored by Evelynn M. Hammonds

Since Specialization
Citations

This map shows the geographic impact of Evelynn M. Hammonds'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 Evelynn M. Hammonds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evelynn M. Hammonds more than expected).

Fields of papers citing papers by Evelynn M. Hammonds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evelynn M. Hammonds. 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 Evelynn M. Hammonds. The network helps show where Evelynn M. Hammonds may publish in the future.

Co-authorship network of co-authors of Evelynn M. Hammonds

This figure shows the co-authorship network connecting the top 25 collaborators of Evelynn M. Hammonds. A scholar is included among the top collaborators of Evelynn M. Hammonds 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 Evelynn M. Hammonds. Evelynn M. Hammonds is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Reede, Joan Y., Winfred W. Williams, David S. Jones, et al.. (2024). Racism, Medicine, and NEJM since 1812 — The Historical Roots of Injustice in Medicine, Symposium 1. New England Journal of Medicine. 390(24). e62–e62.
2.
Jones, David S., Evelynn M. Hammonds, Joseph P. Gone, & David R. Williams. (2024). Explaining Health Inequities — The Enduring Legacy of Historical Biases. New England Journal of Medicine. 390(5). 389–395. 4 indexed citations
3.
Jones, David S., et al.. (2023). Slavery and the Journal — Reckoning with History and Complicity. New England Journal of Medicine. 389(23). 2117–2123. 6 indexed citations
4.
Reardon, Jenny, Sandra Soo‐Jin Lee, Sara Goering, et al.. (2023). Trustworthiness matters: Building equitable and ethical science. Cell. 186(5). 894–898. 16 indexed citations
5.
Meyer, Michelle N., Paul S. Appelbaum, Daniel J. Benjamin, et al.. (2023). Wrestling with Social and Behavioral Genomics: Risks, Potential Benefits, and Ethical Responsibility. The Hastings Center Report. 53(S1). S2–S49. 33 indexed citations
6.
Lewis, Anna, Paul S. Appelbaum, Bege Dauda, et al.. (2023). An Ethical Framework for Research Using Genetic Ancestry. Perspectives in biology and medicine. 66(2). 225–248. 8 indexed citations
7.
Lewis, Anna, Paul S. Appelbaum, Bege Dauda, et al.. (2022). Getting genetic ancestry right for science and society. Science. 376(6590). 250–252. 105 indexed citations breakdown →
8.
Turley, Patrick, Michelle N. Meyer, Nancy Wang, et al.. (2021). Problems With Using Polygenic Scores to Select Embryos. Obstetrical & Gynecological Survey. 76(10). 609–610. 2 indexed citations
9.
Turley, Patrick, Michelle N. Meyer, Nancy Wang, et al.. (2021). Problems with Using Polygenic Scores to Select Embryos. New England Journal of Medicine. 385(1). 78–86. 93 indexed citations
10.
Hammonds, Evelynn M. & Susan M. Reverby. (2019). Toward a Historically Informed Analysis of Racial Health Disparities Since 1619. American Journal of Public Health. 109(10). 1348–1349. 58 indexed citations
11.
Shephard, Jennifer M., Stephen M. Kosslyn, & Evelynn M. Hammonds. (2011). The Harvard Sampler: Liberal Education for the Twenty-First Century. Medical Entomology and Zoology. 3 indexed citations
12.
Braun, Lundy & Evelynn M. Hammonds. (2008). Race, populations, and genomics: Africa as laboratory. Social Science & Medicine. 67(10). 1580–1588. 20 indexed citations
13.
Braun, Lundy, Anne Fausto‐Sterling, Duana Fullwiley, et al.. (2007). Racial Categories in Medical Practice: How Useful Are They?. PLoS Medicine. 4(9). e271–e271. 133 indexed citations
14.
Shields, Alexandra E., Mike Fortun, Evelynn M. Hammonds, et al.. (2005). The use of race variables in genetic studies of complex traits and the goal of reducing health disparities: A transdisciplinary perspective.. American Psychologist. 60(1). 77–103. 124 indexed citations
15.
Hammonds, Evelynn M.. (2004). black (w)holes and the geometry of black female sexuality. 313–326. 81 indexed citations
16.
Hammonds, Evelynn M. & Banu Subramaniam. (2003). A Conversation on Feminist Science Studies. Signs. 28(3). 923–944. 28 indexed citations
17.
Hammonds, Evelynn M., et al.. (2001). Childhood's Deadly Scourge: The Campaign to Control Diphtheria in New York City, 1880-1930. Journal of American History. 87(4). 1535–1535. 2 indexed citations
18.
Hammonds, Evelynn M.. (1999). Childhood's deadly scourge: the campaign to control diphtheria in New York City, 1880-1930. Choice Reviews Online. 37(4). 37–2203. 28 indexed citations
19.
Hammonds, Evelynn M.. (1997). Donna J. Harway, Modest_Witness@Second_Millennium.FemaleMan©_MeetsOncoMouse™: Feminism and Technoscience. Journal of the History of Biology. 30(3). 494–497. 188 indexed citations
20.
Hammonds, Evelynn M. & Darlene Clark Hine. (1989). A Study in Black and White. The Women s Review of Books. 7(1). 21–21. 5 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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