Bege Dauda

463 total citations · 1 hit paper
12 papers, 208 citations indexed

About

Bege Dauda is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Physiology. According to data from OpenAlex, Bege Dauda has authored 12 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 6 papers in Genetics and 3 papers in Physiology. Recurrent topics in Bege Dauda's work include Ethics in Clinical Research (8 papers), Race, Genetics, and Society (5 papers) and Biomedical Ethics and Regulation (3 papers). Bege Dauda is often cited by papers focused on Ethics in Clinical Research (8 papers), Race, Genetics, and Society (5 papers) and Biomedical Ethics and Regulation (3 papers). Bege Dauda collaborates with scholars based in United States, Belgium and Mexico. Bege Dauda's co-authors include Kris Dierickx, Benjamin M. Neale, Danielle S. Allen, Anna Lewis, Mashaal Sohail, Aaron Panofsky, Agustín Fuentes, Evelynn M. Hammonds, Peter Kraft and Paul S. Appelbaum and has published in prestigious journals such as Science, The American Journal of Human Genetics and BMC Cancer.

In The Last Decade

Bege Dauda

11 papers receiving 199 citations

Hit Papers

Getting genetic ancestry right for science and society 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bege Dauda United States 8 117 47 37 29 24 12 208
Matthew Schwartz United States 10 53 0.5× 23 0.5× 27 0.7× 21 0.7× 41 1.7× 17 240
Gillian Crawford United Kingdom 7 106 0.9× 49 1.0× 19 0.5× 14 0.5× 17 0.7× 8 183
Sandrine de Montgolfier France 9 104 0.9× 87 1.9× 15 0.4× 31 1.1× 37 1.5× 39 225
Kelly M. East United States 10 177 1.5× 63 1.3× 28 0.8× 14 0.5× 16 0.7× 22 227
Jerome Atutornu United Kingdom 6 74 0.6× 126 2.7× 25 0.7× 35 1.2× 26 1.1× 9 201
Kaustubh Adhikari United Kingdom 8 82 0.7× 42 0.9× 26 0.7× 16 0.6× 10 0.4× 15 196
Kirsten B. Moysich United States 7 72 0.6× 45 1.0× 51 1.4× 11 0.4× 12 0.5× 7 192
Beth Ford United States 6 166 1.4× 78 1.7× 16 0.4× 14 0.5× 47 2.0× 9 314
Błażej Marciniak Poland 8 64 0.5× 40 0.9× 36 1.0× 20 0.7× 6 0.3× 17 189

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-authorship network of co-authors of Bege Dauda

This figure shows the co-authorship network connecting the top 25 collaborators of Bege Dauda. A scholar is included among the top collaborators of Bege Dauda 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 Bege Dauda. Bege Dauda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
2.
Dauda, Bege, Danielle S. Allen, Agustín Fuentes, et al.. (2023). Ancestry: How researchers use it and what they mean by it. Frontiers in Genetics. 14. 1044555–1044555. 11 indexed citations
3.
Lewis, Anna, Paul S. Appelbaum, Bege Dauda, et al.. (2023). An Ethical Framework for Research Using Genetic Ancestry. Perspectives in biology and medicine. 66(2). 225–248. 8 indexed citations
4.
Allen, Danielle S., et al.. (2022). A scoping review of guidelines for the use of race, ethnicity, and ancestry reveals widespread consensus but also points of ongoing disagreement. The American Journal of Human Genetics. 109(12). 2110–2125. 17 indexed citations
5.
Martei, Yehoda M., Bege Dauda, & Verna Vanderpuye. (2022). Breast cancer screening in sub-Saharan Africa: a systematic review and ethical appraisal. BMC Cancer. 22(1). 203–203. 17 indexed citations
6.
Lewis, Anna, Paul S. Appelbaum, Bege Dauda, et al.. (2022). Getting genetic ancestry right for science and society. Science. 376(6590). 250–252. 105 indexed citations breakdown →
8.
Ezekiel, Mangi J., et al.. (2022). “By only considering the end product it means that our participation has always been in vain”: Defining benefits in HIV vaccine trials in Tanzania. Developing World Bioethics. 23(3). 220–228. 2 indexed citations
9.
Dauda, Bege & Steven Joffe. (2018). The benefit sharing vision of H3Africa. Developing World Bioethics. 18(2). 165–170. 8 indexed citations
10.
Dauda, Bege, Yvonne Denier, & Kris Dierickx. (2016). What Do the Various Principles of Justice Mean Within the Concept of Benefit Sharing?. Journal of Bioethical Inquiry. 13(2). 281–293. 10 indexed citations
11.
Dauda, Bege & Kris Dierickx. (2016). Viewing benefit sharing in global health research through the lens of Aristotelian justice. Journal of Medical Ethics. 43(6). 417–421. 5 indexed citations
12.
Dauda, Bege & Kris Dierickx. (2013). Benefit sharing: an exploration on the contextual discourse of a changing concept. BMC Medical Ethics. 14(1). 36–36. 23 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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