Ranjit Ray
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
- Autophagy in Disease and Therapy
Papers in
- Epidemiology 15
- Respiratory viral infections research 5
- Virology and Viral Diseases 4
- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 4
- Immunology 15
- Complement system in diseases 7
- interferon and immune responses 5
- Co-authors
- Ratna B. Ray (23 shared papers)Keith Meyer (19 shared papers)Shubham Shrivastava (9 shared papers)Robert Steele (12 shared papers)Adrian M. Di Bisceglie (8 shared papers)Pradip Devhare (4 shared papers)Reina Sasaki (6 shared papers)Joydip Bhanja Chowdhury (3 shared papers)
- Journals
- Journal of Virology (18 papers)Hepatology (5 papers)Virology (4 papers)International Journal of Molecular Sciences (2 papers)Virus Research (2 papers)
- Partner nations
- United StatesSpainJapan
In The Last Decade
Ranjit Ray
42 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 90
- Hepatology 959
- Epidemiology 1.0k
- Cancer Research 361
- Virology 90
- Immunology 394
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 223 | |
| 2 | 2010 | 173 | |
| 3 | 2017 | 169 | |
| 4 | 1999 | 148 | |
| 5 | 2012 | 137 | |
| 6 | 2015 | 120 | |
| 7 | 2013 | 112 | |
| 8 | 2012 | 99 | |
| 9 | 2012 | 82 | |
| 10 | 2006 | 81 | |
| 11 | 2006 | 79 | |
| 12 | 2015 | 72 | |
| 13 | 2011 | 70 | |
| 14 | 2017 | 65 | |
| 15 | 2014 | 55 | |
| 16 | 2014 | 53 | |
| 17 | 2021 | 50 | |
| 18 | 2013 | 39 | |
| 19 | 2013 | 27 | |
| 20 | 2006 | 26 |
About Ranjit Ray
Ranjit Ray is a scholar working on Epidemiology, Immunology, Hepatology, Molecular Biology and Cancer Research, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), Complement system in diseases (7 papers), interferon and immune responses (5 papers), Renal Diseases and Glomerulopathies (5 papers), Respiratory viral infections research (5 papers), Virology and Viral Diseases (4 papers), Hepatitis B Virus Studies (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (959 citations), Epidemiology (1.0k citations), Cancer Research (361 citations), Virology (90 citations) and Immunology (394 citations). Ranjit Ray has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Ratna B. Ray, Keith Meyer, Shubham Shrivastava, Robert Steele, Adrian M. Di Bisceglie, Pradip Devhare, Reina Sasaki, Joydip Bhanja Chowdhury, Sandip K. Bose and Hangeun Kim. Their work appears in journals such as Journal of Virology, Hepatology, Virology, International Journal of Molecular Sciences and Virus Research.
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.