Krisha McKee
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 33
- HIV Research and Treatment 33
-
- Monoclonal and Polyclonal Antibodies Research 17
- Co-authors
- John R. Mascola (29 shared papers)Sijy O’Dell (17 shared papers)Richard T. Wyatt (11 shared papers)Peter D. Kwong (19 shared papers)Mark K. Louder (16 shared papers)Stephen D. Schmidt (5 shared papers)Yu Feng (4 shared papers)Gary J. Nabel (5 shared papers)
- Journals
- Journal of Virology (9 papers)Cell Reports (3 papers)mAbs (3 papers)AIDS Research and Human Retroviruses (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesSwedenFrance
In The Last Decade
Krisha McKee
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 53
- Virology 1.0k
- Immunology 614
- Radiology, Nuclear Medicine and Imaging 451
- Infectious Diseases 289
- Molecular Biology 409
Countries citing papers authored by Krisha McKee
This map shows the geographic impact of Krisha McKee'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 Krisha McKee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krisha McKee more than expected).
Fields of papers citing papers by Krisha McKee
This network shows the impact of papers produced by Krisha McKee. 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 Krisha McKee. The network helps show where Krisha McKee may publish in the future.
Co-authors
The 25 scholars most cited alongside Krisha McKee, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 183 | |
| 2 | 2014 | 171 | |
| 3 | 2015 | 151 | |
| 4 | 2009 | 88 | |
| 5 | 2018 | 62 | |
| 6 | 2012 | 61 | |
| 7 | 2014 | 55 | |
| 8 | 2013 | 52 | |
| 9 | 2011 | 47 | |
| 10 | 2010 | 46 | |
| 11 | 2018 | 43 | |
| 12 | 2018 | 39 | |
| 13 | 2012 | 38 | |
| 14 | 2013 | 37 | |
| 15 | 2016 | 34 | |
| 16 | 2020 | 32 | |
| 17 | 2014 | 28 | |
| 18 | 2013 | 23 | |
| 19 | 2018 | 21 | |
| 20 | 2016 | 20 |
About Krisha McKee
Krisha McKee is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Infectious Diseases, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (33 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Immune Cell Function and Interaction (14 papers), HIV/AIDS drug development and treatment (8 papers), T-cell and B-cell Immunology (6 papers), Glycosylation and Glycoproteins Research (5 papers), Blood groups and transfusion (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Virology (1.0k citations), Immunology (614 citations), Radiology, Nuclear Medicine and Imaging (451 citations), Infectious Diseases (289 citations) and Molecular Biology (409 citations). Krisha McKee has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include John R. Mascola, Sijy O’Dell, Richard T. Wyatt, Peter D. Kwong, Mark K. Louder, Stephen D. Schmidt, Yu Feng, Gary J. Nabel, Javier Guenaga and Nicole A. Doria‐Rose. Their work appears in journals such as Journal of Virology, Cell Reports, mAbs, AIDS Research and Human Retroviruses and Nature Communications.
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.