Apoorva Mohan
Impact in
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- Genetic Neurodegenerative Diseases
- Hereditary Neurological Disorders
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- RNA Research and Splicing
- Muscle Physiology and Disorders
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- RNA regulation and disease
Papers in
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- RNA Research and Splicing 4
- RNA modifications and cancer 2
- Mitochondrial Function and Pathology 1
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- Genetic Neurodegenerative Diseases 3
- Nerve injury and regeneration 1
- Co-authors
- Maurice S. Swanson (5 shared papers)Marianne Goodwin (3 shared papers)Konstantinos Charizanis (3 shared papers)Ranjan Batra (3 shared papers)Moyi Li (2 shared papers)Chaolin Zhang (2 shared papers)Krzysztof Sobczak (1 shared paper)Charles A. Thornton (1 shared paper)
- Journals
- Molecular Cell (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)Pain (1 paper)Brain Behavior and Immunity (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Apoorva Mohan
8 papers receiving 822 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 452
- Molecular Biology 599
- Neurology 117
- Genetics 57
- Cardiology and Cardiovascular Medicine 102
Countries citing papers authored by Apoorva Mohan
This map shows the geographic impact of Apoorva Mohan'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 Apoorva Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apoorva Mohan more than expected).
Fields of papers citing papers by Apoorva Mohan
This network shows the impact of papers produced by Apoorva Mohan. 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 Apoorva Mohan. The network helps show where Apoorva Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Apoorva Mohan, 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 | 2014 | 240 | |
| 2 | 2013 | 148 | |
| 3 | 2015 | 121 | |
| 4 | 2017 | 121 | |
| 5 | 2015 | 72 | |
| 6 | 2017 | 57 | |
| 7 | 2014 | 45 | |
| 8 | 2017 | 23 |
About Apoorva Mohan
Apoorva Mohan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Physiology, having authored 8 papers that have together received 827 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genetic Neurodegenerative Diseases (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), RNA modifications and cancer (2 papers), Neurological disorders and treatments (1 paper), Nerve injury and regeneration (1 paper), Adenosine and Purinergic Signaling (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (452 citations), Molecular Biology (599 citations), Neurology (117 citations), Genetics (57 citations) and Cardiology and Cardiovascular Medicine (102 citations). Apoorva Mohan has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Maurice S. Swanson, Marianne Goodwin, Konstantinos Charizanis, Ranjan Batra, Moyi Li, Chaolin Zhang, Krzysztof Sobczak, Charles A. Thornton, Holly Kordasiewicz and Kuang‐Yung Lee. Their work appears in journals such as Molecular Cell, Nature Communications, Cell Reports, Pain and Brain Behavior and Immunity.
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.