Daniel Were
Impact in
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
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- Artificial Intelligence in Healthcare and Education
Papers in
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- HIV/AIDS Research and Interventions 20
-
- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- Jason Bailey Reed (11 shared papers)Abednego Musau (11 shared papers)Griffins Manguro (4 shared papers)Marya Plotkin (4 shared papers)Kelly Curran (3 shared papers)Diwakar Mohan (3 shared papers)Irene Mukui (1 shared paper)Kaitlyn Atkins (3 shared papers)
- Journals
- Journal of the International AIDS Society (7 papers)Sexual Health (2 papers)BMC Public Health (2 papers)Gates Open Research (2 papers)Frontiers in Public Health (2 papers)
- Partner nations
- United StatesKenyaSouth Africa
In The Last Decade
Daniel Were
19 papers receiving 352 citations
Peers
Comparison fields: 5 of 25
- Infectious Diseases 325
- Health Informatics 6
- General Health Professions 25
- Health Information Management 5
- Virology 2
Countries citing papers authored by Daniel Were
This map shows the geographic impact of Daniel Were'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 Daniel Were with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Were more than expected).
Fields of papers citing papers by Daniel Were
This network shows the impact of papers produced by Daniel Were. 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 Daniel Were. The network helps show where Daniel Were may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Were, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2020 | 63 | |
| 3 | 2018 | 61 | |
| 4 | 2021 | 25 | |
| 5 | 2024 | 22 | |
| 6 | 2021 | 18 | |
| 7 | 2024 | 18 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 12 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 0 |
About Daniel Were
Daniel Were is a scholar working on Infectious Diseases, Health Informatics, Management Science and Operations Research, Sociology and Political Science and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 357 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (20 papers), Sex work and related issues (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Reproductive Health and Contraception (1 paper) and Evaluation and Performance Assessment (1 paper). The work is most often cited by research in Infectious Diseases (325 citations), Health Informatics (6 citations), General Health Professions (25 citations), Health Information Management (5 citations) and Virology (2 citations). Daniel Were has collaborated with scholars based in United States, Kenya and South Africa. Frequent co-authors include Jason Bailey Reed, Abednego Musau, Griffins Manguro, Marya Plotkin, Kelly Curran, Diwakar Mohan, Irene Mukui, Kaitlyn Atkins, Delivette Castor and Kristine Torjesen. Their work appears in journals such as Journal of the International AIDS Society, Sexual Health, BMC Public Health, Gates Open Research and Frontiers in Public Health.
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.