Niyanta N. Kumar
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
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- Cerebrospinal fluid and hydrocephalus
Papers in
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- Barrier Structure and Function Studies 3
- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Advanced Drug Delivery Systems 3
- Co-authors
- Robert G. Thorne (6 shared papers)Michelle E. Pizzo (4 shared papers)Christina L. Brunnquell (1 shared paper)Melanie‐Jane Hannocks (1 shared paper)Jeffrey J. Lochhead (4 shared papers)N. Joan Abbott (1 shared paper)Danica B Stanimirovic (1 shared paper)Lydia M. Sorokin (1 shared paper)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (2 papers)Microscopy and Microanalysis (1 paper)The Journal of Physiology (1 paper)Journal of Medicinal Chemistry (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Niyanta N. Kumar
10 papers receiving 414 citations
Peers
Comparison fields: 5 of 64
- Pharmaceutical Science 63
- Cellular and Molecular Neuroscience 166
- Neurology 71
- Neurology 82
- Developmental Neuroscience 16
Countries citing papers authored by Niyanta N. Kumar
This map shows the geographic impact of Niyanta N. 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 Niyanta N. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niyanta N. Kumar more than expected).
Fields of papers citing papers by Niyanta N. Kumar
This network shows the impact of papers produced by Niyanta N. 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 Niyanta N. Kumar. The network helps show where Niyanta N. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Niyanta N. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 220 | |
| 2 | 2018 | 85 | |
| 3 | 2016 | 52 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 21 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2018 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2025 | 1 |
About Niyanta N. Kumar
Niyanta N. Kumar is a scholar working on Neurology, Pharmaceutical Science, Cellular and Molecular Neuroscience, Biological Psychiatry and Developmental Neuroscience, having authored 10 papers that have together received 421 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (3 papers), Barrier Structure and Function Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Tryptophan and brain disorders (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Immune cells in cancer (1 paper), Cerebrospinal fluid and hydrocephalus (1 paper) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Pharmaceutical Science (63 citations), Cellular and Molecular Neuroscience (166 citations), Neurology (71 citations), Neurology (82 citations) and Developmental Neuroscience (16 citations). Niyanta N. Kumar has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Robert G. Thorne, Michelle E. Pizzo, Christina L. Brunnquell, Melanie‐Jane Hannocks, Jeffrey J. Lochhead, N. Joan Abbott, Danica B Stanimirovic, Lydia M. Sorokin, Eric Brunette and Mary Elizabeth Meyerand. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Microscopy and Microanalysis, The Journal of Physiology, Journal of Medicinal Chemistry and The FASEB Journal.
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.