Shailesh Kumar
Impact in
- Aging top 5%
-
- Circadian rhythm and melatonin
Papers in
-
- Genomics and Phylogenetic Studies 26
- RNA modifications and cancer 11
- RNA and protein synthesis mechanisms 9
- RNA Research and Splicing 6
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- Plant Disease Resistance and Genetics 6
- Plant Molecular Biology Research 5
- Co-authors
- Hui Li (6 shared papers)Gajendra P. S. Raghava (22 shared papers)Fujun Qin (5 shared papers)Ajeet Singh (13 shared papers)Amita Sehgal (3 shared papers)Dechun Chen (3 shared papers)Vijay Kumar Sharma (4 shared papers)Sudheer Gupta (5 shared papers)
- Journals
- Scientific Reports (7 papers)PLoS ONE (5 papers)Database (4 papers)Journal of Bacteriology (4 papers)Computational and Structural Biotechnology Journal (3 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Shailesh Kumar
78 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Aging 50
- Endocrine and Autonomic Systems 141
- Cancer Research 210
- Molecular Biology 772
- Microbiology 63
Countries citing papers authored by Shailesh Kumar
This map shows the geographic impact of Shailesh 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 Shailesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shailesh Kumar more than expected).
Fields of papers citing papers by Shailesh Kumar
This network shows the impact of papers produced by Shailesh 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 Shailesh Kumar. The network helps show where Shailesh Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Shailesh 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 130 | |
| 2 | 2016 | 104 | |
| 3 | 2013 | 96 | |
| 4 | 2020 | 83 | |
| 5 | 2016 | 67 | |
| 6 | 2020 | 45 | |
| 7 | 2014 | 44 | |
| 8 | 2012 | 42 | |
| 9 | 2012 | 41 | |
| 10 | 2008 | 40 | |
| 11 | 2018 | 33 | |
| 12 | 2016 | 32 | |
| 13 | 2023 | 32 | |
| 14 | 2018 | 29 | |
| 15 | 2005 | 28 | |
| 16 | 2006 | 25 | |
| 17 | 2013 | 22 | |
| 18 | 2021 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2003 | 19 |
About Shailesh Kumar
Shailesh Kumar is a scholar working on Molecular Biology, Plant Science, Endocrine and Autonomic Systems, Cancer Research and Cellular and Molecular Neuroscience, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (26 papers), Circadian rhythm and melatonin (13 papers), RNA modifications and cancer (11 papers), Neurobiology and Insect Physiology Research (9 papers), RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (6 papers), Plant Disease Resistance and Genetics (6 papers) and Plant Molecular Biology Research (5 papers). The work is most often cited by research in Aging (50 citations), Endocrine and Autonomic Systems (141 citations), Cancer Research (210 citations), Molecular Biology (772 citations) and Microbiology (63 citations). Shailesh Kumar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Hui Li, Gajendra P. S. Raghava, Fujun Qin, Ajeet Singh, Amita Sehgal, Dechun Chen, Vijay Kumar Sharma, Sudheer Gupta, Surendra Vikram and Shahzaib Ahamad. Their work appears in journals such as Scientific Reports, PLoS ONE, Database, Journal of Bacteriology and Computational and Structural Biotechnology 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.