Jennifer Kates
- Infectious Diseases top 10%
- Epidemiology
- General Health Professions top 10%
- Economics and Econometrics top 10%
- Molecular Biology
- Co-authors
- Jeffrey LeviWilliam R. BauerDaniel S. GaylinDavid R. HoltgräveKatherine MarconiJeffrey S. CrowleyThomas E. MannleJoseph L. Dieleman
- Topics
- HIV/AIDS Research and Interventions (15 papers)HIV, Drug Use, Sexual Risk (10 papers)HIV/AIDS Impact and Responses (9 papers)
- Partner nations
- United StatesNorwayCanada
In The Last Decade
Jennifer Kates
31 papers receiving 462 citations
Peers
Comparison fields: 5 of 91
- Infectious Diseases 194
- Epidemiology 161
- General Health Professions 147
- Economics and Econometrics 92
- Molecular Biology 58
Countries citing papers authored by Jennifer Kates
This map shows the geographic impact of Jennifer Kates'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 Jennifer Kates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Kates more than expected).
Fields of papers citing papers by Jennifer Kates
This network shows the impact of papers produced by Jennifer Kates. 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 Jennifer Kates. The network helps show where Jennifer Kates may publish in the future.
Co-authorship network of co-authors of Jennifer Kates
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Kates. A scholar is included among the top collaborators of Jennifer Kates 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 Jennifer Kates. Jennifer Kates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 38 | |
| 8 | Implications of the Affordable Care Act for people with HIV infection and the Ryan White HIV/AIDS Program: what does the future hold? | 18 |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 30 | |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 24 | |
| 15 | Global Funding for HIV/AIDS in Resource Poor Settings | 6 |
| 16 | 6 | |
| 17 | 25 | |
| 18 | 28 | |
| 19 | 39 | |
| 20 | Regulatory hurdles in bringing an in vitro diagnostic device to market. | 4 |
About Jennifer Kates
Jennifer Kates is a scholar working on Infectious Diseases, Development and Safety Research, having authored 32 papers that have together received 504 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (15 papers), HIV, Drug Use, Sexual Risk (10 papers) and HIV/AIDS Impact and Responses (9 papers). The work is most often cited by research in Infectious Diseases (194 citations), Virology (41 citations) and Development (21 citations). Jennifer Kates has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Jeffrey Levi, William R. Bauer, Daniel S. Gaylin, David R. Holtgräve, Katherine Marconi, Jeffrey S. Crowley, Thomas E. Mannle, Joseph L. Dieleman, Christopher J L Murray and Bianca S Zlavog. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.
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.