Vivek Kumar
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.1%
- Circadian rhythm and melatonin
Papers in
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- Receptor Mechanisms and Signaling 3
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- Circadian rhythm and melatonin 14
- Co-authors
- Joseph S. Takahashi (21 shared papers)Seung Hee Yoo (5 shared papers)Choogon Lee (3 shared papers)Nobuya Koike (3 shared papers)Tae-Kyung Kim (2 shared papers)Bogi Andersen (8 shared papers)Sandra M. Siepka (3 shared papers)Mikhail Geyfman (6 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Cell (3 papers)Science (3 papers)Cell Reports (3 papers)Molecular Cell (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Vivek Kumar
54 papers receiving 4.1k citations
Vivek Kumar's Hit Papers
Peers
Comparison fields: 5 of 134
- Aging 635
- Endocrine and Autonomic Systems 2.2k
- Physiology 980
- Cellular and Molecular Neuroscience 557
- Plant Science 943
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-authors
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
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transcriptional Architecture and Chromatin Landscape of the Core Circadian Clock in Mammals Hit paper breakdown → | 2012 | 1084 |
| 2 | 2007 | 445 | |
| 3 | 2000 | 421 | |
| 4 | 2013 | 278 | |
| 5 | 2002 | 225 | |
| 6 | 2012 | 189 | |
| 7 | 2009 | 188 | |
| 8 | 2009 | 139 | |
| 9 | 2013 | 136 | |
| 10 | 2019 | 131 | |
| 11 | 2015 | 128 | |
| 12 | 2014 | 100 | |
| 13 | 2017 | 75 | |
| 14 | 2008 | 73 | |
| 15 | 2016 | 54 | |
| 16 | 2010 | 45 | |
| 17 | 2019 | 43 | |
| 18 | 2011 | 41 | |
| 19 | 2021 | 40 | |
| 20 | 2022 | 37 |
About Vivek Kumar
Vivek Kumar is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Plant Science, Physiology and Aging, having authored 61 papers that have together received 4.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (14 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), Light effects on plants (8 papers), Adipose Tissue and Metabolism (4 papers), Receptor Mechanisms and Signaling (3 papers), Autism Spectrum Disorder Research (3 papers), Plant Molecular Biology Research (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (635 citations), Endocrine and Autonomic Systems (2.2k citations), Physiology (980 citations), Cellular and Molecular Neuroscience (557 citations) and Plant Science (943 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, David W. Rose and Weimin Song. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Science, Cell Reports and Molecular Cell.
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.