Ramesh A. Bhat
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Genetics top 5%
- Estrogen and related hormone effects
- Virus-based gene therapy research
Papers in
-
- Hepatitis C virus research 6
- Genetics 19
- Virus-based gene therapy research 9
- Estrogen and related hormone effects 8
- Co-authors
- Barry S. KommPeter V.N. BodineJane B. LianAndré J. van WijnenJanet L. SteinChristopher J. LengnerAmjad JavedGary S. Stein
- Journals
- Journal of Cellular Biochemistry (7 papers)Vaccine (3 papers)Nucleic Acids Research (2 papers)Journal of Cellular Physiology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Ramesh A. Bhat
39 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Hepatology 190
- Genetics 661
- Molecular Biology 1.4k
- Orthopedics and Sports Medicine 137
- Oncology 398
Countries citing papers authored by Ramesh A. Bhat
This map shows the geographic impact of Ramesh A. Bhat'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 Ramesh A. Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh A. Bhat more than expected).
Fields of papers citing papers by Ramesh A. Bhat
This network shows the impact of papers produced by Ramesh A. Bhat. 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 Ramesh A. Bhat. The network helps show where Ramesh A. Bhat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ramesh A. Bhat, 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 | Molecular characterization of induced mutants in groundnut using random amplified polymorphic DNA markers. | 2009 | 3 |
| 2 | 2009 | 6 | |
| 3 | 2009 | 18 | |
| 4 | 2009 | 1 | |
| 5 | 2007 | 15 | |
| 6 | 2006 | 63 | |
| 7 | 2005 | 142 | |
| 8 | Canonical WNT Signaling Promotes Osteogenesis by Directly Stimulating Runx2 Gene Expression Hit paper breakdown → | 2005 | 956 |
| 9 | 2005 | 12 | |
| 10 | 2004 | 9 | |
| 11 | 2000 | 38 | |
| 12 | 1999 | 22 | |
| 13 | 1999 | 14 | |
| 14 | 1994 | 39 | |
| 15 | 1994 | 27 | |
| 16 | 1992 | 61 | |
| 17 | 1991 | 14 | |
| 18 | 1990 | 65 | |
| 19 | 1990 | 53 | |
| 20 | 1983 | 27 |
About Ramesh A. Bhat
Ramesh A. Bhat is a scholar working on Hepatology, Genetics, Virology, Molecular Biology and Toxicology, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (13 papers), Cancer-related gene regulation (13 papers), Virus-based gene therapy research (9 papers), Estrogen and related hormone effects (8 papers), Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Hepatology (190 citations), Genetics (661 citations), Molecular Biology (1.4k citations), Orthopedics and Sports Medicine (137 citations) and Oncology (398 citations). Ramesh A. Bhat has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Barry S. Komm, Peter V.N. Bodine, Jane B. Lian, André J. van Wijnen, Janet L. Stein, Christopher J. Lengner, Amjad Javed, Gary S. Stein, Tripti Gaur and Hayk Hovhannisyan. Their work appears in journals such as Journal of Cellular Biochemistry, Vaccine, Nucleic Acids Research, Journal of Cellular Physiology and Journal of Biological Chemistry.
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.