Arpit Mehta
Impact in
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- Cancer-related molecular mechanisms research
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- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Mitochondrial Function and Pathology 4
- RNA modifications and cancer 2
- Gene expression and cancer classification 1
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- Metabolism and Genetic Disorders 2
- Co-authors
- José Silva (1 shared paper)Claes Wahlestedt (1 shared paper)Chiara Pastori (1 shared paper)Deborah Barbouth (1 shared paper)Veronica J. Peschansky (1 shared paper)Jeffery M. Vance (3 shared papers)Eden R. Martin (3 shared papers)Gary W. Beecham (3 shared papers)
- Journals
- Neurology (1 paper)Human Genetics (1 paper)Oncotarget (1 paper)PLoS ONE (1 paper)Blood (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Arpit Mehta
11 papers receiving 358 citations
Peers
Comparison fields: 5 of 53
- Cancer Research 60
- Neurology 54
- Genetics 98
- Molecular Biology 244
- Clinical Biochemistry 19
Countries citing papers authored by Arpit Mehta
This map shows the geographic impact of Arpit Mehta'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 Arpit Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpit Mehta more than expected).
Fields of papers citing papers by Arpit Mehta
This network shows the impact of papers produced by Arpit Mehta. 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 Arpit Mehta. The network helps show where Arpit Mehta may publish in the future.
Co-authors
The 25 scholars most cited alongside Arpit Mehta, 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 | 2013 | 82 | |
| 2 | 2011 | 61 | |
| 3 | 2019 | 49 | |
| 4 | 2013 | 49 | |
| 5 | 2015 | 29 | |
| 6 | 2015 | 26 | |
| 7 | Next-generation sequencing of mitochondrial targeted AAV transfer of human ND4 in mice. | 2013 | 26 |
| 8 | 2015 | 16 | |
| 9 | 1988 | 11 | |
| 10 | 1989 | 10 | |
| 11 | 2008 | 6 |
About Arpit Mehta
Arpit Mehta is a scholar working on Molecular Biology, Clinical Biochemistry, Computer Networks and Communications, Cellular and Molecular Neuroscience and Hematology, having authored 11 papers that have together received 365 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Metabolism and Genetic Disorders (2 papers), RNA modifications and cancer (2 papers), Acute Myeloid Leukemia Research (1 paper), Wireless Communication Networks Research (1 paper), Wireless Networks and Protocols (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (60 citations), Neurology (54 citations), Genetics (98 citations), Molecular Biology (244 citations) and Clinical Biochemistry (19 citations). Arpit Mehta has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include José Silva, Claes Wahlestedt, Chiara Pastori, Deborah Barbouth, Veronica J. Peschansky, Jeffery M. Vance, Eden R. Martin, Gary W. Beecham, Güney Bademci and William K. Scott. Their work appears in journals such as Neurology, Human Genetics, Oncotarget, PLoS ONE and Blood.
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.