Stephanie M. Fullerton

17.2k citations
133 papers · 4.4k indexed · 1 hit paper · h-index 38

Stephanie M. Fullerton

131 papers receiving 4.3k citations

Hit Papers

Getting genetic ancestry right for science and society1052022202620232024255075100

Peers

Stephanie M. Fullerton
Comparison fields: 5 of 167
  • Genetics 2.1k
  • Public Health, Environmental and Occupational Health 1.5k
  • Health Informatics 52
  • Physiology 801
  • General Health Professions 469
Replace Muin J. Khoury with:
Muin J. Khoury United States
Henry T. Greely United States
Kathy Hudson United States
Anneke Lucassen United Kingdom
Mildred K. Cho United States
Robert Cook‐Deegan United States
Andy Boyd Australia
Sharon F. Terry United States
Jantina de Vries South Africa
Cinnamon S. Bloss United States
Stephanie M. Fullerton relative to Muin J. Khoury United States Muin J. Khoury's profile →
Citations per field
00.5×
Muin J. Khoury · 1×
Citations per year

Countries citing papers authored by Stephanie M. Fullerton

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie M. Fullerton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Stephanie M. Fullerton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephanie M. Fullerton Line = papers co-authored together Stephanie M. Fullerton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20242
4 20241
5 20242
6 20226
7 20222
8 202218
9 202125
10 20204
11 20176
12 201430
13
It's not about the alert: Informing genetically-guided decision support with human-centered design.
20131
14 20131
15 20125
16 201245
17 201242
18 200838
19 200290
20 199838

About Stephanie M. Fullerton

Stephanie M. Fullerton is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Transplantation, having authored 133 papers that have together received 4.4k indexed citations. Recurring topics across this work include Ethics in Clinical Research (62 papers), BRCA gene mutations in cancer (48 papers), Genomics and Rare Diseases (29 papers), Race, Genetics, and Society (25 papers), Genetic Associations and Epidemiology (15 papers), Biomedical Ethics and Regulation (14 papers), Forensic and Genetic Research (10 papers) and Health Systems, Economic Evaluations, Quality of Life (10 papers). The work is most often cited by research in Genetics (2.1k citations), Public Health, Environmental and Occupational Health (1.5k citations) and Health Informatics (52 citations). Stephanie M. Fullerton has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kenneth M. Weiss, Wylie Burke, Gail P. Jarvik, Susan Brown Trinidad, Andrew G. Clark, Rosalind M. Harding, Eric B. Larson, J. B. Clegg, Eric Boerwinkle and Veikko Salomaa. Their work appears in journals such as Science, New England Journal of Medicine and Cell.

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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