Kay Limoli
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 11
- HIV/AIDS Research and Interventions 4
- Virology 11
- HIV Research and Treatment 11
- Co-authors
- Christos J. Petropoulos (6 shared papers)Wei Huang (4 shared papers)Jeannette M. Whitcomb (4 shared papers)Terri Wrin (7 shared papers)Neil Parkin (4 shared papers)Genine Winslow (1 shared paper)Yolanda Lie (1 shared paper)Huan Tian (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (5 papers)Journal of Virology (3 papers)The Journal of Gene Medicine (2 papers)PLoS ONE (2 papers)AIDS (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Kay Limoli
13 papers receiving 1.2k citations
Kay Limoli's Hit Papers
Peers
Comparison fields: 5 of 39
- Virology 937
- Infectious Diseases 930
- Hepatology 72
- Emergency Medicine 34
- Immunology 84
Countries citing papers authored by Kay Limoli
This map shows the geographic impact of Kay Limoli'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 Kay Limoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Limoli more than expected).
Fields of papers citing papers by Kay Limoli
This network shows the impact of papers produced by Kay Limoli. 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 Kay Limoli. The network helps show where Kay Limoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Kay Limoli, 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 | A Novel Phenotypic Drug Susceptibility Assay for Human Immunodeficiency Virus Type 1 Hit paper breakdown → | 2000 | 524 |
| 2 | 2006 | 270 | |
| 3 | 2003 | 81 | |
| 4 | 2002 | 76 | |
| 5 | 2000 | 69 | |
| 6 | 2002 | 69 | |
| 7 | 2012 | 35 | |
| 8 | 2012 | 24 | |
| 9 | 1999 | 23 | |
| 10 | 2013 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2010 | 12 | |
| 13 | 2019 | 6 | |
| 14 | 1999 | 0 |
About Kay Limoli
Kay Limoli is a scholar working on Infectious Diseases, Virology, Immunology, Epidemiology and Hepatology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (11 papers), HIV Research and Treatment (11 papers), HIV/AIDS Research and Interventions (4 papers), Immune Cell Function and Interaction (3 papers), Hepatitis C virus research (2 papers), Immunotherapy and Immune Responses (1 paper), Transgenic Plants and Applications (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Virology (937 citations), Infectious Diseases (930 citations), Hepatology (72 citations), Emergency Medicine (34 citations) and Immunology (84 citations). Kay Limoli has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Christos J. Petropoulos, Wei Huang, Jeannette M. Whitcomb, Terri Wrin, Neil Parkin, Genine Winslow, Yolanda Lie, Huan Tian, Daniel J. Capon and Ellen E. Paxinos. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Virology, The Journal of Gene Medicine, PLoS ONE and AIDS.
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.