Divya Pathak
Impact in
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
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- Mitochondrial Function and Pathology 4
- Coenzyme Q10 studies and effects 1
- ATP Synthase and ATPases Research 1
- Co-authors
- Ken Nakamura (4 shared papers)Amandine Berthet (3 shared papers)Lauren Shields (2 shared papers)Robert H. Edwards (2 shared papers)Akos A. Gerencser (1 shared paper)Wei Lin (1 shared paper)Hwajin Kim (1 shared paper)Dominik Haddad (1 shared paper)
- Journals
- Cell Death and Disease (1 paper)Journal of Biological Chemistry (1 paper)Annals of Neurology (1 paper)eNeuro (1 paper)FEMS Microbiology Letters (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Divya Pathak
8 papers receiving 474 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 192
- Clinical Biochemistry 64
- Biological Psychiatry 17
- Neurology 41
- Aging 8
Countries citing papers authored by Divya Pathak
This map shows the geographic impact of Divya Pathak'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 Divya Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Pathak more than expected).
Fields of papers citing papers by Divya Pathak
This network shows the impact of papers produced by Divya Pathak. 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 Divya Pathak. The network helps show where Divya Pathak may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Pathak, 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 | 2015 | 215 | |
| 2 | 2013 | 116 | |
| 3 | 2015 | 92 | |
| 4 | 2006 | 25 | |
| 5 | 2017 | 14 | |
| 6 | Genetic screening in couples experiencing recurrent assisted procreation failure. | 2008 | 14 |
| 7 | 2010 | 3 | |
| 8 | 2022 | 1 |
About Divya Pathak
Divya Pathak is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Infectious Diseases and Surgery, having authored 8 papers that have together received 480 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Neurological diseases and metabolism (1 paper), Coenzyme Q10 studies and effects (1 paper), Alzheimer's disease research and treatments (1 paper), ATP Synthase and ATPases Research (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Acute Myeloid Leukemia Research (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (192 citations), Clinical Biochemistry (64 citations), Biological Psychiatry (17 citations), Neurology (41 citations) and Aging (8 citations). Divya Pathak has collaborated with scholars based in India and United States. Frequent co-authors include Ken Nakamura, Amandine Berthet, Lauren Shields, Robert H. Edwards, Akos A. Gerencser, Wei Lin, Hwajin Kim, Dominik Haddad, Bryce A. Mendelsohn and Martin D. Brand. Their work appears in journals such as Cell Death and Disease, Journal of Biological Chemistry, Annals of Neurology, eNeuro and FEMS Microbiology Letters.
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.