Kelli Greene
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Virology 15
- HIV Research and Treatment 15
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- HIV/AIDS drug development and treatment 8
- Co-authors
- David C. Montefiori (17 shared papers)John R. Mascola (6 shared papers)Miroslawa Bilska (3 shared papers)Hongmei Gao (15 shared papers)Peter B. Gilbert (2 shared papers)Feng Gao (2 shared papers)Ming Li (2 shared papers)Leonidas Stamatatos (2 shared papers)
- Journals
- Journal of Virology (5 papers)Journal of Immunological Methods (3 papers)Retrovirology (1 paper)PLoS Computational Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSouth AfricaChina
In The Last Decade
Kelli Greene
16 papers receiving 1.7k citations
Kelli Greene's Hit Papers
Peers
Comparison fields: 5 of 56
- Virology 1.5k
- Immunology 702
- Infectious Diseases 560
- Radiology, Nuclear Medicine and Imaging 367
- Epidemiology 276
Countries citing papers authored by Kelli Greene
This map shows the geographic impact of Kelli Greene'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 Kelli Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelli Greene more than expected).
Fields of papers citing papers by Kelli Greene
This network shows the impact of papers produced by Kelli Greene. 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 Kelli Greene. The network helps show where Kelli Greene may publish in the future.
Co-authors
The 25 scholars most cited alongside Kelli Greene, 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 | Human Immunodeficiency Virus Type 1envClones from Acute and Early Subtype B Infections for Standardized Assessments of Vaccine-Elicited Neutralizing Antibodies Hit paper breakdown → | 2005 | 847 |
| 2 | 2013 | 297 | |
| 3 | 2013 | 194 | |
| 4 | 2014 | 95 | |
| 5 | 2010 | 59 | |
| 6 | 2011 | 51 | |
| 7 | 2016 | 37 | |
| 8 | 2012 | 31 | |
| 9 | 2018 | 22 | |
| 10 | 2017 | 20 | |
| 11 | 2012 | 17 | |
| 12 | 2011 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2021 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2020 | 0 |
About Kelli Greene
Kelli Greene is a scholar working on Virology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Hepatology and Molecular Biology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Hepatitis C virus research (4 papers), Immune Cell Function and Interaction (3 papers), vaccines and immunoinformatics approaches (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Virology (1.5k citations), Immunology (702 citations), Infectious Diseases (560 citations), Radiology, Nuclear Medicine and Imaging (367 citations) and Epidemiology (276 citations). Kelli Greene has collaborated with scholars based in United States, South Africa and China. Frequent co-authors include David C. Montefiori, John R. Mascola, Miroslawa Bilska, Hongmei Gao, Peter B. Gilbert, Feng Gao, Ming Li, Leonidas Stamatatos, Gérald Voss and Julie M. Decker. Their work appears in journals such as Journal of Virology, Journal of Immunological Methods, Retrovirology, PLoS Computational Biology and PLoS ONE.
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.