Bege Dauda

463 citations
12 papers · 208 · 1 hit paper · h-index 8

Impact in

Papers in

Bege Dauda

11 papers receiving 199 citations

Hit Papers

Getting genetic ancestry right for science and society 2022 · 105 citations
1050+1+2Years since publication255075100

Peers

Bege Dauda
Comparison fields: 5 of 65
  • Genetics 117
  • Public Health, Environmental and Occupational Health 47
  • Physiology 29
  • Health 9
  • Gender Studies 9
Replace Stephanie A. Devaney with:
Stephanie A. Devaney United States
Margaret Ginoza United States
Eric Sid United States
Stephen Sodeke United States
Akshata Hopkins United States
Ariel Fuentes Chile
Sandrine de Montgolfier France
Kelly M. East United States
Kaustubh Adhikari United Kingdom
Bege Dauda relative to Stephanie A. Devaney United States Stephanie A. Devaney's profile →
Citations per field
00.5×6.3×
Stephanie A. Devaney · 1×
Citations per year

Countries citing papers authored by Bege Dauda

Since Specialization
Citations

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

Fields of papers citing papers by Bege Dauda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bege Dauda. 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 Bege Dauda. The network helps show where Bege Dauda may publish in the future.

Co-authors

The 25 scholars most cited alongside Bege Dauda, 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 Bege Dauda Line = papers co-authored together Bege Dauda links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Getting genetic ancestry right for science and society
Hit paper breakdown →
2022105
2 201323
3 202217
4 202217
5 202311
6 201610
7 20238
8 20188
9 20165
10 20222
11 20222
12 20240

About Bege Dauda

Bege Dauda is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Physiology, Infectious Diseases and Health, having authored 12 papers that have together received 208 indexed citations. Recurring topics across this work include Ethics in Clinical Research (8 papers), Race, Genetics, and Society (5 papers), BRCA gene mutations in cancer (3 papers), Biomedical Ethics and Regulation (3 papers), Forensic and Genetic Research (1 paper), Genetic Associations and Epidemiology (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Genetics (117 citations), Public Health, Environmental and Occupational Health (47 citations), Physiology (29 citations), Health (9 citations) and Gender Studies (9 citations). Bege Dauda has collaborated with scholars based in United States, Belgium and Mexico. Frequent co-authors include Kris Dierickx, Danielle S. Allen, Benjamin M. Neale, Anna Lewis, Mashaal Sohail, Aaron Panofsky, Agustín Fuentes, Nanibaa’ A. Garrison, Evelynn M. Hammonds and Stephanie M. Fullerton. Their work appears in journals such as Developing World Bioethics, The American Journal of Human Genetics, BMC Medical Ethics, Science and Frontiers in Genetics.

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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