Ranjit Ray
Impact in
- Hepatology top 0.2%
- Hepatitis C virus research
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
- Immunology top 5%
- interferon and immune responses
Papers in
- Hepatology 84
- Hepatitis C virus research 76
- Liver physiology and pathology 5
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Immunology 12
- interferon and immune responses 6
- Complement system in diseases 5
- Co-authors
- Ratna B. Ray (47 shared papers)Keith Meyer (50 shared papers)Robert Steele (26 shared papers)Shubham Shrivastava (11 shared papers)Martin Lagging (5 shared papers)Adrian M. Di Bisceglie (12 shared papers)Asish K. Ghosh (4 shared papers)Arnab Basu (9 shared papers)
- Journals
- Journal of Virology (42 papers)Virology (10 papers)Hepatology (10 papers)Virus Research (6 papers)The Journal of Infectious Diseases (5 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Ranjit Ray
113 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 91
- Hepatology 3.6k
- Immunology 572
- Cancer Research 368
- Epidemiology 813
- Molecular Biology 863
Countries citing papers authored by Ranjit Ray
This map shows the geographic impact of Ranjit Ray'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 Ranjit Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjit Ray more than expected).
Fields of papers citing papers by Ranjit Ray
This network shows the impact of papers produced by Ranjit Ray. 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 Ranjit Ray. The network helps show where Ranjit Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Ranjit Ray, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 351 | |
| 2 | 1996 | 236 | |
| 3 | 2001 | 225 | |
| 4 | 2010 | 207 | |
| 5 | 1998 | 205 | |
| 6 | 2010 | 179 | |
| 7 | 2017 | 169 | |
| 8 | 2007 | 152 | |
| 9 | 1999 | 151 | |
| 10 | 2012 | 146 | |
| 11 | 1998 | 132 | |
| 12 | 2011 | 131 | |
| 13 | 2015 | 125 | |
| 14 | 2013 | 119 | |
| 15 | 2010 | 107 | |
| 16 | 2012 | 105 | |
| 17 | 1998 | 100 | |
| 18 | 2011 | 95 | |
| 19 | 2002 | 94 | |
| 20 | 2010 | 89 |
About Ranjit Ray
Ranjit Ray is a scholar working on Hepatology, Immunology, Epidemiology, Cancer Research and Molecular Biology, having authored 114 papers that have together received 6.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (76 papers), Respiratory viral infections research (9 papers), Virology and Viral Diseases (7 papers), interferon and immune responses (6 papers), Liver physiology and pathology (5 papers), Complement system in diseases (5 papers), MicroRNA in disease regulation (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Hepatology (3.6k citations), Immunology (572 citations), Cancer Research (368 citations), Epidemiology (813 citations) and Molecular Biology (863 citations). Ranjit Ray has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Ratna B. Ray, Keith Meyer, Robert Steele, Shubham Shrivastava, Martin Lagging, Adrian M. Di Bisceglie, Asish K. Ghosh, Arnab Basu, Hangeun Kim and Arup Kumar Banerjee. Their work appears in journals such as Journal of Virology, Virology, Hepatology, Virus Research and The Journal of Infectious Diseases.
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.