Vikram Sharma
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
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- DNA Repair Mechanisms 3
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
-
- Alzheimer's disease research and treatments 3
- Co-authors
- Ning Quan (1 shared paper)Eric S. Wohleb (1 shared paper)John F. Sheridan (1 shared paper)Jonathan P. Godbout (1 shared paper)Jenna M. Patterson (1 shared paper)Edwin Lasonder (9 shared papers)Derek M. Yellon (3 shared papers)Brian Cunniffe (3 shared papers)
- Journals
- Nucleic Acids Research (2 papers)PLoS ONE (2 papers)Journal of Hepatology (2 papers)Journal of Biological Chemistry (2 papers)EBioMedicine (2 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Vikram Sharma
58 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 121
- Biological Psychiatry 142
- Behavioral Neuroscience 190
- Hepatology 146
- Developmental Neuroscience 60
- Neurology 116
Countries citing papers authored by Vikram Sharma
This map shows the geographic impact of Vikram Sharma'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 Vikram Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Sharma more than expected).
Fields of papers citing papers by Vikram Sharma
This network shows the impact of papers produced by Vikram Sharma. 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 Vikram Sharma. The network helps show where Vikram Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram Sharma, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 167 | |
| 2 | 2012 | 98 | |
| 3 | 2012 | 97 | |
| 4 | 2012 | 96 | |
| 5 | 2015 | 63 | |
| 6 | 2005 | 62 | |
| 7 | 1993 | 55 | |
| 8 | 2017 | 55 | |
| 9 | 2015 | 54 | |
| 10 | 2017 | 50 | |
| 11 | 1996 | 49 | |
| 12 | 1998 | 49 | |
| 13 | 2018 | 45 | |
| 14 | 2014 | 44 | |
| 15 | 2018 | 43 | |
| 16 | 2014 | 40 | |
| 17 | 2011 | 37 | |
| 18 | 2013 | 35 | |
| 19 | 2016 | 34 | |
| 20 | 2012 | 34 |
About Vikram Sharma
Vikram Sharma is a scholar working on Molecular Biology, Physiology, Epidemiology, Immunology and Hepatology, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (5 papers), Cardiac Ischemia and Reperfusion (4 papers), DNA Repair Mechanisms (3 papers), Malaria Research and Control (3 papers), Cardiac Arrest and Resuscitation (3 papers), RNA modifications and cancer (3 papers), Alzheimer's disease research and treatments (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Biological Psychiatry (142 citations), Behavioral Neuroscience (190 citations), Hepatology (146 citations), Developmental Neuroscience (60 citations) and Neurology (116 citations). Vikram Sharma has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Ning Quan, Eric S. Wohleb, John F. Sheridan, Jonathan P. Godbout, Jenna M. Patterson, Edwin Lasonder, Derek M. Yellon, Brian Cunniffe, Marco Cardinale and Hendrik G. Stunnenberg. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Journal of Hepatology, Journal of Biological Chemistry and EBioMedicine.
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.