Srinivas Chava
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 5%
Papers in
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- Autophagy in Disease and Therapy 4
- Hepatitis B Virus Studies 3
- Co-authors
- Kishore B. Challagundla (12 shared papers)Subash C. Gupta (7 shared papers)Nikee Awasthee (3 shared papers)Vipin Rai (3 shared papers)Srikanta Dash (11 shared papers)Anup S. Pathania (6 shared papers)Sumit Singh Verma (2 shared papers)Donald W. Coulter (6 shared papers)
- Journals
- American Journal Of Pathology (2 papers)Frontiers in Physiology (2 papers)Seminars in Cancer Biology (2 papers)Experimental Hematology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Srinivas Chava
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 336
- Hepatology 122
- Molecular Biology 545
- Geriatrics and Gerontology 24
- Epidemiology 230
Countries citing papers authored by Srinivas Chava
This map shows the geographic impact of Srinivas Chava'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 Srinivas Chava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivas Chava more than expected).
Fields of papers citing papers by Srinivas Chava
This network shows the impact of papers produced by Srinivas Chava. 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 Srinivas Chava. The network helps show where Srinivas Chava may publish in the future.
Co-authors
The 25 scholars most cited alongside Srinivas Chava, 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 | 2019 | 186 | |
| 2 | 2019 | 107 | |
| 3 | 2019 | 92 | |
| 4 | 2020 | 70 | |
| 5 | 2017 | 61 | |
| 6 | 2016 | 60 | |
| 7 | 2015 | 55 | |
| 8 | 2017 | 50 | |
| 9 | 2014 | 49 | |
| 10 | 2018 | 41 | |
| 11 | 2016 | 38 | |
| 12 | 2022 | 27 | |
| 13 | 2022 | 25 | |
| 14 | 2019 | 25 | |
| 15 | Ruptured hepatocellular carcinoma following chemoembolization: a western experience. | 2007 | 24 |
| 16 | 2009 | 22 | |
| 17 | 2010 | 22 | |
| 18 | 2018 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2014 | 20 |
About Srinivas Chava
Srinivas Chava is a scholar working on Molecular Biology, Epidemiology, Neurology, Cell Biology and Immunology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Hepatitis C virus research (4 papers), Autophagy in Disease and Therapy (4 papers), Hepatitis B Virus Studies (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (336 citations), Hepatology (122 citations), Molecular Biology (545 citations), Geriatrics and Gerontology (24 citations) and Epidemiology (230 citations). Srinivas Chava has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Kishore B. Challagundla, Subash C. Gupta, Nikee Awasthee, Vipin Rai, Srikanta Dash, Anup S. Pathania, Sumit Singh Verma, Donald W. Coulter, Manoj K. Pandey and Yücel Aydın. Their work appears in journals such as American Journal Of Pathology, Frontiers in Physiology, Seminars in Cancer Biology, Experimental Hematology and PLoS ONE.
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.