Amrita Tailor
Impact in
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
- Virology top 10%
- HIV Research and Treatment
Papers in
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- HIV/AIDS Research and Interventions 5
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- HIV, Drug Use, Sexual Risk 4
- Co-authors
- Gema Dumitru (3 shared papers)Kathleen L. Irwin (2 shared papers)Amy Lansky (2 shared papers)Elizabeth DiNenno (2 shared papers)Mary M. Mullins (2 shared papers)Kevin P. Delaney (2 shared papers)Joseph Prejean (2 shared papers)Kristina Bowles (2 shared papers)
- Journals
- Sexually Transmitted Diseases (2 papers)American Journal of Medical Quality (2 papers)Public Health Reports (2 papers)MMWR Morbidity and Mortality Weekly Report (1 paper)Journal of the Association of Nurses in AIDS Care (1 paper)
- Partner nations
- United StatesKenyaUganda
In The Last Decade
Amrita Tailor
10 papers receiving 282 citations
Peers
Comparison fields: 5 of 34
- Infectious Diseases 180
- Virology 33
- Microbiology 39
- Epidemiology 102
- General Health Professions 55
Countries citing papers authored by Amrita Tailor
This map shows the geographic impact of Amrita Tailor'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 Amrita Tailor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amrita Tailor more than expected).
Fields of papers citing papers by Amrita Tailor
This network shows the impact of papers produced by Amrita Tailor. 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 Amrita Tailor. The network helps show where Amrita Tailor may publish in the future.
Co-authors
The 25 scholars most cited alongside Amrita Tailor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2021 | 30 | |
| 3 | 2017 | 21 | |
| 4 | 2022 | 19 | |
| 5 | 2023 | 9 | |
| 6 | 2016 | 9 | |
| 7 | 2016 | 9 | |
| 8 | 2020 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 1 |
About Amrita Tailor
Amrita Tailor is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Virology and Health Information Management, having authored 10 papers that have together received 285 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (5 papers), HIV, Drug Use, Sexual Risk (4 papers), Reproductive tract infections research (3 papers), Electronic Health Records Systems (2 papers), HIV Research and Treatment (2 papers), Scientific Computing and Data Management (1 paper), Sex work and related issues (1 paper) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Infectious Diseases (180 citations), Virology (33 citations), Microbiology (39 citations), Epidemiology (102 citations) and General Health Professions (55 citations). Amrita Tailor has collaborated with scholars based in United States, Kenya and Uganda. Frequent co-authors include Gema Dumitru, Kathleen L. Irwin, Amy Lansky, Elizabeth DiNenno, Mary M. Mullins, Kevin P. Delaney, Joseph Prejean, Kristina Bowles, Angela B. Hutchinson and Thomas L. Gift. Their work appears in journals such as Sexually Transmitted Diseases, American Journal of Medical Quality, Public Health Reports, MMWR Morbidity and Mortality Weekly Report and Journal of the Association of Nurses in AIDS Care.
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.