Vivek Kumar
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.2%
- Circadian rhythm and melatonin
Papers in
- Aging 9
- Genetics, Aging, and Longevity in Model Organisms 9
-
- Circadian rhythm and melatonin 15
- Co-authors
- Joseph S. TakahashiSeung Hee YooChoogon LeeNobuya KoikeTae-Kyung KimBogi AndersenSandra M. SiepkaMikhail Geyfman
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Cell Reports (3 papers)Cell (3 papers)Science (3 papers)G3 Genes Genomes Genetics (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Vivek Kumar
48 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Aging 647
- Endocrine and Autonomic Systems 2.2k
- Physiology 1.0k
- Cellular and Molecular Neuroscience 579
- Plant Science 955
Countries citing papers authored by Vivek Kumar
This map shows the geographic impact of Vivek 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 Vivek Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Kumar more than expected).
Fields of papers citing papers by Vivek Kumar
This network shows the impact of papers produced by Vivek 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 Vivek Kumar. The network helps show where Vivek Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vivek 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 37 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 128 | |
| 14 | 2019 | 40 | |
| 15 | 2018 | 7 | |
| 16 | 2016 | 52 | |
| 17 | 2012 | 185 | |
| 18 | Transcriptional Architecture and Chromatin Landscape of the Core Circadian Clock in Mammals Hit paper breakdown → | 2012 | 1067 |
| 19 | 2002 | 224 | |
| 20 | 2000 | 419 |
About Vivek Kumar
Vivek Kumar is a scholar working on Aging, Endocrine and Autonomic Systems, Geriatrics and Gerontology, Cellular and Molecular Neuroscience and Physiology, having authored 58 papers that have together received 4.0k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (15 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), Light effects on plants (8 papers), Adipose Tissue and Metabolism (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neurobiology and Insect Physiology Research (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Autism Spectrum Disorder Research (3 papers). The work is most often cited by research in Aging (647 citations), Endocrine and Autonomic Systems (2.2k citations), Physiology (1.0k citations), Cellular and Molecular Neuroscience (579 citations) and Plant Science (955 citations). Vivek Kumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Joseph S. Takahashi, Seung Hee Yoo, Choogon Lee, Nobuya Koike, Tae-Kyung Kim, Bogi Andersen, Sandra M. Siepka, Mikhail Geyfman, Michael G. Rosenfeld and David W. Rose. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Reports, Cell, Science and G3 Genes Genomes Genetics.
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.