Kaval Kaur
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Influenza Virus Research Studies 6
- Respiratory viral infections research 4
- Cytomegalovirus and herpesvirus research 1
-
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- Co-authors
- Patrick C. Wilson (8 shared papers)Min Huang (5 shared papers)Yunping Huang (4 shared papers)Noel T. Pauli (5 shared papers)Sarah F. Andrews (3 shared papers)Jane-Hwei Lee (4 shared papers)Florian Krammer (3 shared papers)Rafi Ahmed (3 shared papers)
- Journals
- Journal of Virology (4 papers)iScience (1 paper)Science Translational Medicine (1 paper)F1000 Biology Reports (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Kaval Kaur
12 papers receiving 852 citations
Peers
Comparison fields: 5 of 52
- Immunology 454
- Epidemiology 536
- Infectious Diseases 235
- Radiology, Nuclear Medicine and Imaging 166
- Virology 25
Countries citing papers authored by Kaval Kaur
This map shows the geographic impact of Kaval Kaur'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 Kaval Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaval Kaur more than expected).
Fields of papers citing papers by Kaval Kaur
This network shows the impact of papers produced by Kaval Kaur. 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 Kaval Kaur. The network helps show where Kaval Kaur may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaval Kaur, 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 | 2015 | 291 | |
| 2 | 2014 | 120 | |
| 3 | 2015 | 98 | |
| 4 | 2011 | 92 | |
| 5 | 2015 | 91 | |
| 6 | 2010 | 49 | |
| 7 | 2011 | 48 | |
| 8 | 2015 | 26 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 11 | |
| 11 | 2011 | 8 | |
| 12 | 2012 | 5 |
About Kaval Kaur
Kaval Kaur is a scholar working on Epidemiology, Immunology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Molecular Biology, having authored 12 papers that have together received 862 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Respiratory viral infections research (4 papers), T-cell and B-cell Immunology (3 papers), Cytomegalovirus and herpesvirus research (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Immunology (454 citations), Epidemiology (536 citations), Infectious Diseases (235 citations), Radiology, Nuclear Medicine and Imaging (166 citations) and Virology (25 citations). Kaval Kaur has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Patrick C. Wilson, Min Huang, Yunping Huang, Noel T. Pauli, Sarah F. Andrews, Jane-Hwei Lee, Florian Krammer, Rafi Ahmed, Jens Wrammert and Carole J. Henry Dunand. Their work appears in journals such as Journal of Virology, iScience, Science Translational Medicine, F1000 Biology Reports and Cell Reports Medicine.
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.