Richard R. Sharp

28.2k total citations · 1 hit paper
198 papers, 4.5k citations indexed

About

Richard R. Sharp is a scholar working on Public Health, Environmental and Occupational Health, Genetics and General Health Professions. According to data from OpenAlex, Richard R. Sharp has authored 198 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Public Health, Environmental and Occupational Health, 64 papers in Genetics and 42 papers in General Health Professions. Recurrent topics in Richard R. Sharp's work include Ethics in Clinical Research (73 papers), BRCA gene mutations in cancer (46 papers) and Biomedical Ethics and Regulation (36 papers). Richard R. Sharp is often cited by papers focused on Ethics in Clinical Research (73 papers), BRCA gene mutations in cancer (46 papers) and Biomedical Ethics and Regulation (36 papers). Richard R. Sharp collaborates with scholars based in United States, United Kingdom and Canada. Richard R. Sharp's co-authors include Morris W. Foster, David Scott, David S. Treves, Ravid Rosenzweig, Julian Adams, Aaron J. Goldenberg, John J. Mulvihill, Mark Yarborough, Anil Madhavapeddy and Susan Curtis and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Richard R. Sharp

187 papers receiving 4.3k citations

Hit Papers

Patient apprehensions abo... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Richard R. Sharp 1.5k 1.5k 698 536 494 198 4.5k
Jane Kaye 2.5k 1.6× 804 0.5× 802 1.1× 426 0.8× 1.3k 2.7× 118 4.1k
Ellen Wright Clayton 2.0k 1.3× 2.1k 1.4× 716 1.0× 750 1.4× 794 1.6× 194 6.2k
Michael Parker 2.5k 1.6× 1.7k 1.1× 1.3k 1.8× 912 1.7× 747 1.5× 239 7.7k
Bartha Maria Knoppers 3.6k 2.4× 2.8k 1.9× 804 1.2× 1.2k 2.3× 1.7k 3.4× 359 7.4k
Philip Payne 1.0k 0.7× 386 0.3× 549 0.8× 1.6k 2.9× 1.2k 2.5× 382 8.1k
John H. Holmes 842 0.6× 249 0.2× 775 1.1× 975 1.8× 497 1.0× 158 6.3k
Francis S. Collins 765 0.5× 1.3k 0.9× 323 0.5× 2.4k 4.5× 411 0.8× 28 6.8k
Chris Longhurst 993 0.7× 371 0.2× 1.3k 1.8× 316 0.6× 130 0.3× 192 5.5k
Justin Starren 857 0.6× 262 0.2× 1.2k 1.7× 614 1.1× 108 0.2× 137 4.7k
Martin Dugas 1.4k 0.9× 747 0.5× 262 0.4× 4.6k 8.6× 600 1.2× 347 9.9k

Countries citing papers authored by Richard R. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Richard R. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard R. Sharp. 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 Richard R. Sharp. The network helps show where Richard R. Sharp may publish in the future.

Co-authorship network of co-authors of Richard R. Sharp

This figure shows the co-authorship network connecting the top 25 collaborators of Richard R. Sharp. A scholar is included among the top collaborators of Richard R. Sharp 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 Richard R. Sharp. Richard R. Sharp 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.
Houwink, Elisa J. F., Karen M. Meagher, Jenny L. Anderson, et al.. (2025). Ethically Integrating Genomics in Primary Care: An Invitation to Share Implementation Best Practices. Mayo Clinic Proceedings. 101(1). 120–135.
3.
Curtis, Susan, et al.. (2025). Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study. JMIR Mental Health. 12. e64414–e64414. 9 indexed citations
4.
Riggan, Kirsten A., Debra DeBruin, Richard R. Sharp, et al.. (2024). Behind the Scenes. CHEST Journal. 166(3). 561–571. 3 indexed citations
5.
Barry, Barbara, Karsten Krüger, Richard D. White, et al.. (2024). Pharmacogenomic augmented machine learning in electronic health record alerts: A health system‐wide usability survey of clinicians. Clinical and Translational Science. 17(10). e70044–e70044. 2 indexed citations
6.
Watson, Sara, Alessandro R Marcon, Xuan Zhu, et al.. (2024). Descriptions of Scientific Evidence and Uncertainty of Unproven COVID-19 Therapies in US News: Content Analysis Study. PubMed. 4. e51328–e51328.
7.
Kim, Jee Hyun, et al.. (2023). Treating addiction with deep brain stimulation: Ethical and legal considerations. International Journal of Drug Policy. 113. 103964–103964. 9 indexed citations
8.
Juhn, Young J., Euijung Ryu, Chung‐Il Wi, et al.. (2022). Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. Journal of the American Medical Informatics Association. 29(7). 1142–1151. 34 indexed citations
9.
Richardson, Jordan, Cambray Smith, Susan Curtis, et al.. (2021). Patient apprehensions about the use of artificial intelligence in healthcare. npj Digital Medicine. 4(1). 140–140. 216 indexed citations breakdown →
10.
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
11.
Master, Zubin, et al.. (2020). Stem cell preservation for regenerative therapies: ethical and governance considerations for the health care sector. npj Regenerative Medicine. 5(1). 23–23. 10 indexed citations
12.
Sher, Taimur, Charles D. Burger, Erin S. DeMartino, Alice Gallo de Moraes, & Richard R. Sharp. (2020). Resuscitation and COVID-19: Recalibrating Patient and Family Expectations During a Pandemic. Mayo Clinic Proceedings. 95(9). 1848–1851. 2 indexed citations
13.
Pacyna, Joel E., et al.. (2019). Assessing optimism and pessimism about genomic medicine: Development of a genomic orientation scale. Clinical Genetics. 95(6). 704–712. 7 indexed citations
14.
Sutton, Erica J., Joel E. Pacyna, Matthew Hathcock, et al.. (2019). Managing the Unimaginable: Biobank Participant Views on Reconsent for Whole Genome Sequencing of Stored Biospecimens. Biopreservation and Biobanking. 17(4). 296–302. 3 indexed citations
15.
Soni, Hiral, Adela Grando, Anita Murcko, et al.. (2019). Perceptions and Preferences About Granular Data Sharing and Privacy of Behavioral Health Patients. Studies in health technology and informatics. 264. 1361–1365. 9 indexed citations
16.
Eder, Milton, Elizabeth Heitman, Jennifer B. McCormick, et al.. (2016). Community-Engaged Research Ethics Review: Exploring Flexibility in Federal Regulations.. PubMed. 38(3). 11–9. 9 indexed citations
17.
Romanosky, Sasha, Richard R. Sharp, & Alessandro Acquisti. (2010). Data Breaches and Identity Theft: When is Mandatory Disclosure Optimal?. SSRN Electronic Journal. 6 indexed citations
18.
Resnik, David B. & Richard R. Sharp. (2006). Protecting third parties in human subjects research.. PubMed. 28(4). 1–7. 34 indexed citations
19.
Madhavapeddy, Anil, Alan Mycroft, David J. Scott, & Richard R. Sharp. (2003). The Case for Abstracting Security Policies.. Security and Management. 156–160. 3 indexed citations
20.
Mycroft, Alan & Richard R. Sharp. (2001). Hardware Synthesis Using SAFL and Application to Processor Design (Invited Talk). Lecture notes in computer science. 13–39. 1 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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