Ratna B. Ray
Impact in
- Hepatology top 0.1%
- Hepatitis C virus research
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 66
- Hepatitis C virus research 59
-
- Cancer-related molecular mechanisms research 17
- MicroRNA in disease regulation 14
- Co-authors
- Robert SteeleKeith MeyerRanjit RayShubham ShrivastavaAsish K. GhoshDonald M. MillerAdrian M. Di BiscegliePradip Devhare
- Journals
- Journal of Virology (37 papers)Virology (11 papers)Journal of Biological Chemistry (9 papers)Hepatology (9 papers)Cancer Research (7 papers)
- Partner nations
- United StatesSpainJapan
In The Last Decade
Ratna B. Ray
173 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Hepatology 3.5k
- Cancer Research 2.0k
- Epidemiology 4.0k
- Immunology 1.7k
- Molecular Biology 4.6k
Countries citing papers authored by Ratna B. Ray
This map shows the geographic impact of Ratna B. 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 Ratna B. Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ratna B. Ray more than expected).
Fields of papers citing papers by Ratna B. Ray
This network shows the impact of papers produced by Ratna B. 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 Ratna B. Ray. The network helps show where Ratna B. Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Ratna B. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 15 | |
| 4 | 2020 | 148 | |
| 5 | 2018 | 15 | |
| 6 | 2017 | 167 | |
| 7 | 2014 | 53 | |
| 8 | Functions of autophagy in normal and diseased liver Hit paper breakdown → | 2013 | 373 |
| 9 | 2013 | 14 | |
| 10 | 2010 | 171 | |
| 11 | 2009 | 22 | |
| 12 | 2007 | 45 | |
| 13 | 2006 | 64 | |
| 14 | 2005 | 22 | |
| 15 | 2004 | 45 | |
| 16 | 2002 | 33 | |
| 17 | 2001 | 127 | |
| 18 | 2000 | 74 | |
| 19 | 1992 | 19 | |
| 20 | 1989 | 113 |
About Ratna B. Ray
Ratna B. Ray is a scholar working on Hepatology, Cancer Research, Immunology, Epidemiology and Molecular Biology, having authored 177 papers that have together received 10.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (59 papers), Hepatitis B Virus Studies (24 papers), RNA modifications and cancer (20 papers), Cancer-related molecular mechanisms research (17 papers), Liver Disease Diagnosis and Treatment (17 papers), interferon and immune responses (16 papers), Ubiquitin and proteasome pathways (14 papers) and MicroRNA in disease regulation (14 papers). The work is most often cited by research in Hepatology (3.5k citations), Cancer Research (2.0k citations), Epidemiology (4.0k citations), Immunology (1.7k citations) and Molecular Biology (4.6k citations). Ratna B. Ray has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Robert Steele, Keith Meyer, Ranjit Ray, Ranjit Ray, Shubham Shrivastava, Ranjit Ray, Asish K. Ghosh, Donald M. Miller, Adrian M. Di Bisceglie and Pradip Devhare. Their work appears in journals such as Journal of Virology, Virology, Journal of Biological Chemistry, Hepatology and Cancer 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.