Bittoo Kanwar
Impact in
- Virology top 1%
- HIV Research and Treatment
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
Papers in
- Epidemiology 16
- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 5
- Microscopic Colitis 5
- Immunology 15
- Immune Cell Function and Interaction 6
- Immunodeficiency and Autoimmune Disorders 3
- Co-authors
- Joseph M. McCune (10 shared papers)David Favre (5 shared papers)Jeff E. Mold (3 shared papers)Jason D. Barbour (2 shared papers)P’ng Loke (3 shared papers)Margaret M. Lowe (2 shared papers)Yong Huang (2 shared papers)Sharon Lederer (2 shared papers)
- Journals
- Journal of Hepatology (6 papers)Hepatology (4 papers)Gastroenterology (4 papers)PLoS Pathogens (3 papers)Journal of Crohn s and Colitis (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Bittoo Kanwar
31 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 97
- Virology 630
- Biological Psychiatry 222
- Hepatology 333
- Immunology 673
- Infectious Diseases 398
Countries citing papers authored by Bittoo Kanwar
This map shows the geographic impact of Bittoo Kanwar'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 Bittoo Kanwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bittoo Kanwar more than expected).
Fields of papers citing papers by Bittoo Kanwar
This network shows the impact of papers produced by Bittoo Kanwar. 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 Bittoo Kanwar. The network helps show where Bittoo Kanwar may publish in the future.
Co-authors
The 25 scholars most cited alongside Bittoo Kanwar, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 423 | |
| 2 | 2009 | 307 | |
| 3 | 2012 | 171 | |
| 4 | 2016 | 123 | |
| 5 | 2010 | 118 | |
| 6 | 2014 | 106 | |
| 7 | 2009 | 103 | |
| 8 | 2017 | 71 | |
| 9 | 2009 | 54 | |
| 10 | 2016 | 50 | |
| 11 | 2014 | 38 | |
| 12 | 2010 | 35 | |
| 13 | 2007 | 29 | |
| 14 | 2012 | 28 | |
| 15 | 2021 | 28 | |
| 16 | 2014 | 26 | |
| 17 | 2015 | 18 | |
| 18 | 2019 | 14 | |
| 19 | 2013 | 10 | |
| 20 | 2013 | 9 |
About Bittoo Kanwar
Bittoo Kanwar is a scholar working on Epidemiology, Immunology, Hepatology, Genetics and Infectious Diseases, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), Hepatitis B Virus Studies (7 papers), Immune Cell Function and Interaction (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Microscopic Colitis (5 papers), Inflammatory Bowel Disease (5 papers), HIV Research and Treatment (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Virology (630 citations), Biological Psychiatry (222 citations), Hepatology (333 citations), Immunology (673 citations) and Infectious Diseases (398 citations). Bittoo Kanwar has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Joseph M. McCune, David Favre, Jeff E. Mold, Jason D. Barbour, P’ng Loke, Margaret M. Lowe, Yong Huang, Sharon Lederer, Robert E. Palermo and Sean Proll. Their work appears in journals such as Journal of Hepatology, Hepatology, Gastroenterology, PLoS Pathogens and Journal of Crohn s and Colitis.
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.