Sarah C. Nelson

12.5k total citations
48 papers, 1.5k citations indexed

About

Sarah C. Nelson is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sarah C. Nelson has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 13 papers in Molecular Biology and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sarah C. Nelson's work include BRCA gene mutations in cancer (8 papers), Genetic Associations and Epidemiology (8 papers) and Ethics in Clinical Research (8 papers). Sarah C. Nelson is often cited by papers focused on BRCA gene mutations in cancer (8 papers), Genetic Associations and Epidemiology (8 papers) and Ethics in Clinical Research (8 papers). Sarah C. Nelson collaborates with scholars based in United States, United Kingdom and Canada. Sarah C. Nelson's co-authors include David R. Crosslin, Svati H. Shah, Carol Haynes, Simon G. Gregory, Elizabeth R. Hauser, Stephanie M. Fullerton, William E. Kraus, Pascal J. Goldschmidt‐Clermont, David Seo and David Levine and has published in prestigious journals such as Nature, Circulation and Nature Genetics.

In The Last Decade

Sarah C. Nelson

46 papers receiving 1.4k citations

Peers

Sarah C. Nelson
Carlos E. Prada United States
Aleš Maver Slovenia
Catherine Rehder United States
Carlos E. Prada United States
Sarah C. Nelson
Citations per year, relative to Sarah C. Nelson Sarah C. Nelson (= 1×) peers Carlos E. Prada

Countries citing papers authored by Sarah C. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Sarah C. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah C. Nelson. 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 Sarah C. Nelson. The network helps show where Sarah C. Nelson may publish in the future.

Co-authorship network of co-authors of Sarah C. Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah C. Nelson. A scholar is included among the top collaborators of Sarah C. Nelson 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 Sarah C. Nelson. Sarah C. Nelson 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.
Smith, Johanna L., Quenna Wong, Whitney Hornsby, et al.. (2025). Data sharing in the PRIMED Consortium: Design, implementation, and recommendations for future policymaking. The American Journal of Human Genetics. 112(8). 1754–1768.
2.
Anderson, Elizabeth M., Sarah C. Nelson, Kathleen Groesch, et al.. (2024). Potential tools for predicting response to chemotherapy in OC: Assessment of immune dysbiosis, participant’s self-rated health and microbial dynamics. Journal of Reproductive Immunology. 163. 104241–104241. 1 indexed citations
3.
Christensen, Kurt D., Mengran Zhang, Einat Granot‐Hershkovitz, et al.. (2022). Awareness and utilization of genetic testing among Hispanic and Latino adults living in the US: The Hispanic Community Health Study/Study of Latinos. Human Genetics and Genomics Advances. 4(1). 100160–100160. 4 indexed citations
4.
Khan, Alyna, Stephanie M. Gogarten, Caitlin McHugh, et al.. (2022). Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program. Cell Genomics. 2(8). 100155–100155. 49 indexed citations
5.
Martin, Paul J., David Levine, Barry E. Storer, et al.. (2020). Recipient and donor genetic variants associated with mortality after allogeneic hematopoietic cell transplantation. Blood Advances. 4(14). 3224–3233. 17 indexed citations
6.
Guerrini, Christi J., Jennifer K. Wagner, Sarah C. Nelson, Gail Javitt, & Amy L. McGuire. (2019). Who’s on third? Regulation of third-party genetic interpretation services. Genetics in Medicine. 22(1). 4–11. 28 indexed citations
7.
Nelson, Sarah C., Deborah J. Bowen, & Stephanie M. Fullerton. (2019). Third-Party Genetic Interpretation Tools: A Mixed-Methods Study of Consumer Motivation and Behavior. The American Journal of Human Genetics. 105(1). 122–131. 35 indexed citations
8.
Goto, Atsushi, Brian H. Chen, Kei Hang Katie Chan, et al.. (2018). Genetic variants in sex hormone pathways and the risk of type 2 diabetes among African American, Hispanic American, and European American postmenopausal women in the US. Journal of Diabetes. 10(6). 524–533. 3 indexed citations
9.
Martin, Paul J., David Levine, Barry E. Storer, et al.. (2016). Genome-wide minor histocompatibility matching as related to the risk of graft-versus-host disease. Blood. 129(6). 791–798. 76 indexed citations
10.
Nelson, Sarah C., Adrienne M. Stilp, George Papanicolaou, et al.. (2016). Improved imputation accuracy in Hispanic/Latino populations with larger and more diverse reference panels: applications in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Human Molecular Genetics. 25(15). 3245–3254. 11 indexed citations
11.
Kraus, William E., Elizabeth R. Hauser, Yi‐Ju Li, et al.. (2013). Genome-Wide Linkage Analysis of Cardiovascular Disease Biomarkers in a Large, Multigenerational Family. PLoS ONE. 8(8). e71779–e71779. 9 indexed citations
12.
Shah, Svati H., David R. Crosslin, Carol Haynes, et al.. (2011). Branched-chain amino acid levels are associated with improvement in insulin resistance with weight loss. Diabetologia. 55(2). 321–330. 280 indexed citations
13.
Minear, Mollie, David R. Crosslin, Beth S. Sutton, et al.. (2011). Polymorphic variants in tenascin-C (TNC) are associated with atherosclerosis and coronary artery disease. Human Genetics. 129(6). 641–654. 23 indexed citations
14.
Chen, Hsiang‐Cheng, Virginia B. Kraus, Yi‐Ju Li, et al.. (2010). Genome‐wide linkage analysis of quantitative biomarker traits of osteoarthritis in a large, multigenerational extended family. Arthritis & Rheumatism. 62(3). 781–790. 14 indexed citations
15.
Zhang, Lisheng, Jessica J. Connelly, Karsten Peppel, et al.. (2010). Aging-related atherosclerosis is exacerbated by arterial expression of tumor necrosis factor receptor-1: evidence from mouse models and human association studies. Human Molecular Genetics. 19(14). 2754–2766. 35 indexed citations
16.
Wang, Tianyuan, Terrence S. Furey, Jessica J. Connelly, et al.. (2009). A general integrative genomic feature transcription factor binding site prediction method applied to analysis of USF1 binding in cardiovascular disease. Human Genomics. 3(3). 221–221. 6 indexed citations
17.
Crosslin, David R., Svati H. Shah, Sarah C. Nelson, et al.. (2009). Genetic effects in the leukotriene biosynthesis pathway and association with atherosclerosis. Human Genetics. 125(2). 217–229. 46 indexed citations
18.
Shah, Svati H., Elizabeth R. Hauser, David R. Crosslin, et al.. (2008). ALOX5AP variants are associated with in-stent restenosis after percutaneous coronary intervention. Atherosclerosis. 201(1). 148–154. 18 indexed citations
19.
Connelly, Jessica J., Tianyuan Wang, Julie Cox, et al.. (2006). GATA2 Is Associated with Familial Early-Onset Coronary Artery Disease. PLoS Genetics. 2(8). e139–e139. 70 indexed citations
20.
Nelson, Sarah C., Henry S. Friedman, Edward C. Halperin, et al.. (1992). Successful Therapy for Trilateral Retinoblastoma. American Journal of Ophthalmology. 114(1). 23–29. 28 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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