Prateek Kumar
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
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- Tryptophan and brain disorders
Papers in
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- S100 Proteins and Annexins 4
- Ion channel regulation and function 2
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- Neuroinflammation and Neurodegeneration Mechanisms 8
- Co-authors
- Srikant Rangaraju (11 shared papers)Levi B. Wood (6 shared papers)Sabine Herold (3 shared papers)Katharina Hein (4 shared papers)Nicholas T. Seyfried (7 shared papers)Mathias Bähr (4 shared papers)Sruti Rayaprolu (4 shared papers)Hailian Xiao (4 shared papers)
- Journals
- Molecular & Cellular Proteomics (3 papers)Nature Communications (3 papers)BMC Neuroscience (2 papers)Alzheimer s & Dementia (1 paper)Electrophoresis (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Prateek Kumar
22 papers receiving 306 citations
Peers
Comparison fields: 5 of 72
- Neurology 83
- Biological Psychiatry 23
- Developmental Neuroscience 16
- Cell Biology 51
- Cellular and Molecular Neuroscience 53
Countries citing papers authored by Prateek Kumar
This map shows the geographic impact of Prateek Kumar'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 Prateek Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prateek Kumar more than expected).
Fields of papers citing papers by Prateek Kumar
This network shows the impact of papers produced by Prateek Kumar. 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 Prateek Kumar. The network helps show where Prateek Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Prateek Kumar, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 53 | |
| 2 | 2022 | 51 | |
| 3 | 2024 | 25 | |
| 4 | 2016 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2018 | 22 | |
| 7 | 2015 | 19 | |
| 8 | 2017 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2015 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2017 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2015 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 2 | |
| 20 | 2023 | 1 |
About Prateek Kumar
Prateek Kumar is a scholar working on Molecular Biology, Neurology, Pathology and Forensic Medicine, Cell Biology and Physiology, having authored 25 papers that have together received 308 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (5 papers), Biotin and Related Studies (5 papers), S100 Proteins and Annexins (4 papers), Multiple Sclerosis Research Studies (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Ion channel regulation and function (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Neurology (83 citations), Biological Psychiatry (23 citations), Developmental Neuroscience (16 citations), Cell Biology (51 citations) and Cellular and Molecular Neuroscience (53 citations). Prateek Kumar has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Srikant Rangaraju, Levi B. Wood, Sabine Herold, Katharina Hein, Nicholas T. Seyfried, Mathias Bähr, Sruti Rayaprolu, Hailian Xiao, Pritha Bagchi and Kamlesh Kamlesh. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Communications, BMC Neuroscience, Alzheimer s & Dementia and Electrophoresis.
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.