Michelle N. Meyer

6.8k total citations
44 papers, 789 citations indexed

About

Michelle N. Meyer is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Genetics. According to data from OpenAlex, Michelle N. Meyer has authored 44 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 14 papers in General Health Professions and 7 papers in Genetics. Recurrent topics in Michelle N. Meyer's work include Ethics in Clinical Research (16 papers), BRCA gene mutations in cancer (6 papers) and Ethics in medical practice (6 papers). Michelle N. Meyer is often cited by papers focused on Ethics in Clinical Research (16 papers), BRCA gene mutations in cancer (6 papers) and Ethics in medical practice (6 papers). Michelle N. Meyer collaborates with scholars based in United States, Australia and Norway. Michelle N. Meyer's co-authors include Tamara Gjorgjieva, Patrick R. Heck, Christopher F. Chabris, Patrick Turley, Daniel J. Benjamin, Holly Fernandez Lynch, David Laibson, Duncan J. Watts, Alicia R. Martin and Henri C. Santos and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Michelle N. Meyer

39 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle N. Meyer United States 15 189 140 131 130 101 44 789
Anna Gaysynsky United States 16 141 0.7× 291 2.1× 74 0.6× 262 2.0× 355 3.5× 44 1.0k
Jing‐Bao Nie New Zealand 16 211 1.1× 213 1.5× 63 0.5× 76 0.6× 194 1.9× 51 899
Yoonhee P. Ha United States 12 106 0.6× 284 2.0× 64 0.5× 155 1.2× 86 0.9× 22 819
Ann O. Amuta United States 14 113 0.6× 325 2.3× 57 0.4× 205 1.6× 205 2.0× 34 866
R. Jean Cadigan United States 20 648 3.4× 274 2.0× 205 1.6× 87 0.7× 67 0.7× 62 1.2k
Shelly R. Hovick United States 17 85 0.4× 216 1.5× 175 1.3× 196 1.5× 400 4.0× 57 997
Amy Leader United States 21 143 0.8× 239 1.7× 79 0.6× 518 4.0× 415 4.1× 96 1.4k
Dorcas Kamuya Kenya 17 540 2.9× 327 2.3× 62 0.5× 89 0.7× 92 0.9× 42 906
Trudo Lemmens Canada 15 411 2.2× 228 1.6× 29 0.2× 148 1.1× 100 1.0× 96 925
Mary A. Majumder United States 14 222 1.2× 113 0.8× 146 1.1× 20 0.2× 61 0.6× 65 609

Countries citing papers authored by Michelle N. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Michelle N. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle N. Meyer. 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 Michelle N. Meyer. The network helps show where Michelle N. Meyer may publish in the future.

Co-authorship network of co-authors of Michelle N. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle N. Meyer. A scholar is included among the top collaborators of Michelle N. Meyer 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 Michelle N. Meyer. Michelle N. Meyer 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.
Martschenko, Daphne Oluwaseun, Sandra Soo‐Jin Lee, Michelle N. Meyer, & Erik Parens. (2025). Social and Behavioral Genomics: On the Ethics of the Research and Its Downstream Applications. Annual Review of Genomics and Human Genetics. 26(1). 425–447.
2.
Heck, Patrick R., et al.. (2024). Aversion to pragmatic randomised controlled trials: three survey experiments with clinicians and laypeople in the USA. BMJ Open. 14(9). e084699–e084699. 1 indexed citations
3.
Meyer, Michelle N., Nicholas Papageorge, Erik Parens, et al.. (2024). Potential corporate uses of polygenic indexes: Starting a conversation about the associated ethics and policy issues. The American Journal of Human Genetics. 111(5). 833–840. 1 indexed citations
4.
Susser, Daniel, Daniel Schiff, Sara Gerke, et al.. (2024). Synthetic Health Data: Real Ethical Promise and Peril. The Hastings Center Report. 54(5). 8–13. 9 indexed citations
5.
Meyer, Michelle N., John Basl, David Choffnes, Christo Wilson, & David Lazer. (2023). Enhancing the ethics of user-sourced online data collection and sharing. Nature Computational Science. 3(8). 660–664. 4 indexed citations
6.
Martschenko, Daphne Oluwaseun, Shawneequa Callier, Nanibaa’ A. Garrison, et al.. (2023). Wrestling with Public Input on an Ethical Analysis of Scientific Research. The Hastings Center Report. 53(S1). S50–S65. 1 indexed citations
7.
Meyer, Michelle N., Tammy Tan, Daniel J. Benjamin, David Laibson, & Patrick Turley. (2023). Public views on polygenic screening of embryos. Science. 379(6632). 541–543. 29 indexed citations
8.
9.
Awad, Edmond, Sydney Levine, Michael Anderson, et al.. (2022). Computational ethics. Trends in Cognitive Sciences. 26(5). 388–405. 29 indexed citations
10.
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
11.
Meyer, Michelle N., Luke Gelinas, Barbara E. Bierer, et al.. (2021). An ethics framework for consolidating and prioritizing COVID-19 clinical trials. Clinical Trials. 18(2). 226–233. 15 indexed citations
12.
Heck, Patrick R., Christopher F. Chabris, Duncan J. Watts, & Michelle N. Meyer. (2020). Objecting to experiments even while approving of the policies or treatments they compare. Proceedings of the National Academy of Sciences. 117(32). 18948–18950. 14 indexed citations
13.
Meyer, Michelle N.. (2020). There Oughta Be a Law: When Does(n’t) the U.S. Common Rule Apply?. The Journal of Law Medicine & Ethics. 48(S1). 60–73. 15 indexed citations
14.
15.
Heck, Patrick R. & Michelle N. Meyer. (2019). Population Whole Exome Screening. Medical Clinics of North America. 103(6). 1077–1092. 8 indexed citations
16.
Lynch, Holly Fernandez, Stuart G. Nicholls, Michelle N. Meyer, & Holly A. Taylor. (2018). Of Parachutes and Participant Protection: Moving Beyond Quality to Advance Effective Research Ethics Oversight. Journal of Empirical Research on Human Research Ethics. 14(3). 190–196. 21 indexed citations
17.
Meyer, Michelle N.. (2015). Two Cheers for Corporate Experimentation: The A/B Illusion and the Virtues of Data-Driven Innovation. SSRN Electronic Journal. 21 indexed citations
18.
Meyer, Michelle N.. (2012). Regulating the Production of Knowledge: Research Risk-Benefit Analysis and the Heterogeneity Problem. SSRN Electronic Journal. 10 indexed citations
19.
20.
Meyer, Michelle N.. (2004). Comparative Law - Genetic Privacy - Icelandic Supreme Court Holds that Inclusion of an Individual’s Genetic Information in a National Database Infringes on the Privacy Interests of His Child. SSRN Electronic Journal. 4 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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