Sunil K. Shaw
Impact in
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immune cells in cancer
Papers in
-
- Cell Adhesion Molecules Research 20
- Immunology 23
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 7
- Co-authors
- Francis W. LuscinskasMichael B. BrennerChristina M. ParkerK L CepekGary J. RussellJon S. MorrowDavid L. RimmCharles A. Parkos
- Journals
- The Journal of Immunology (6 papers)The Journal of Experimental Medicine (3 papers)Journal of Virology (3 papers)Infection and Immunity (2 papers)Seminars in Immunology (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Sunil K. Shaw
63 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Immunology and Allergy 1.2k
- Immunology 2.2k
- Neurology 239
- Cell Biology 450
- Virology 128
Countries citing papers authored by Sunil K. Shaw
This map shows the geographic impact of Sunil K. Shaw'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 Sunil K. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil K. Shaw more than expected).
Fields of papers citing papers by Sunil K. Shaw
This network shows the impact of papers produced by Sunil K. Shaw. 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 Sunil K. Shaw. The network helps show where Sunil K. Shaw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sunil K. Shaw, 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 | 2012 | 3 | |
| 2 | 2010 | 11 | |
| 3 | 2008 | 16 | |
| 4 | 2008 | 94 | |
| 5 | 2007 | 37 | |
| 6 | 2007 | 28 | |
| 7 | 2007 | 4 | |
| 8 | 2006 | 101 | |
| 9 | 2006 | 7 | |
| 10 | 2005 | 111 | |
| 11 | 2004 | 121 | |
| 12 | 2004 | 194 | |
| 13 | 2003 | 454 | |
| 14 | 2002 | 53 | |
| 15 | 2002 | 99 | |
| 16 | 2001 | 238 | |
| 17 | 2000 | 38 | |
| 18 | 1997 | 8 | |
| 19 | 1996 | 70 | |
| 20 | 1995 | 75 |
About Sunil K. Shaw
Sunil K. Shaw is a scholar working on Immunology and Allergy, Immunology, Infectious Diseases, Neurology and Cell Biology, having authored 64 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (20 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (6 papers) and Cellular Mechanics and Interactions (5 papers). The work is most often cited by research in Immunology and Allergy (1.2k citations), Immunology (2.2k citations), Neurology (239 citations), Cell Biology (450 citations) and Virology (128 citations). Sunil K. Shaw has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Francis W. Luscinskas, Michael B. Brenner, Christina M. Parker, K L Cepek, Gary J. Russell, Jon S. Morrow, David L. Rimm, Charles A. Parkos, Brandy Perkins and Shuo Ma. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Journal of Virology, Infection and Immunity and Seminars in Immunology.
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.