Prashant Sharma
Impact in
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- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Glycosylation and Glycoproteins Research
- Retinoids in leukemia and cellular processes
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- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
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- Ubiquitin and proteasome pathways 7
- Cancer-related gene regulation 3
- Retinoids in leukemia and cellular processes 2
- Oncology 6
- Cancer-related Molecular Pathways 3
- Co-authors
- Michael R. Kuehn (8 shared papers)Satoru Yamada (2 shared papers)Stephen J. Lockett (1 shared paper)Taihei Yamaguchi (2 shared papers)Rodolfo Murillas (2 shared papers)Amit Kumar (1 shared paper)Meropi Athanasiou (1 shared paper)Mary Dasso (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Molecular Genetics and Metabolism (1 paper)PLoS Genetics (1 paper)Cell Reports (1 paper)genesis (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Prashant Sharma
20 papers receiving 532 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 424
- Oncology 162
- Cancer Research 55
- Parasitology 23
- Hematology 38
Countries citing papers authored by Prashant Sharma
This map shows the geographic impact of Prashant 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 Prashant Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Sharma more than expected).
Fields of papers citing papers by Prashant Sharma
This network shows the impact of papers produced by Prashant 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 Prashant Sharma. The network helps show where Prashant Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 125 | |
| 2 | 2007 | 91 | |
| 3 | 2005 | 90 | |
| 4 | 2013 | 49 | |
| 5 | 2010 | 32 | |
| 6 | 2019 | 25 | |
| 7 | 2014 | 20 | |
| 8 | 2016 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2007 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2008 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 1959 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2011 | 1 |
About Prashant Sharma
Prashant Sharma is a scholar working on Molecular Biology, Oncology, Hematology, Epidemiology and Physiology, having authored 21 papers that have together received 535 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Cancer-related Molecular Pathways (3 papers), Cancer-related gene regulation (3 papers), Iron Metabolism and Disorders (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), Lysosomal Storage Disorders Research (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Molecular Biology (424 citations), Oncology (162 citations), Cancer Research (55 citations), Parasitology (23 citations) and Hematology (38 citations). Prashant Sharma has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Michael R. Kuehn, Satoru Yamada, Stephen J. Lockett, Taihei Yamaguchi, Rodolfo Murillas, Amit Kumar, Meropi Athanasiou, Mary Dasso, Andrew Oberst and Martina Malatesta. Their work appears in journals such as Journal of Cell Science, Molecular Genetics and Metabolism, PLoS Genetics, Cell Reports and genesis.
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.