Vijay Kumar Sharma
- Endocrine and Autonomic Systems top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Plant Science top 10%
- Co-authors
- Vasu SheebaM. K. ChandrashekaranDhanashree ParanjpeTodd C. HolmesAmitabh JoshiShahnaz Rahman LoneHuaiyu GuDiane K. O’Dowd
- Topics
- Circadian rhythm and melatonin (87 papers)Neurobiology and Insect Physiology Research (75 papers)Light effects on plants (23 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Neuroscience
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Vijay Kumar Sharma
126 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 128
- Endocrine and Autonomic Systems 1.5k
- Cellular and Molecular Neuroscience 1.3k
- Genetics 413
- Ecology, Evolution, Behavior and Systematics 377
- Plant Science 332
Countries citing papers authored by Vijay Kumar Sharma
This map shows the geographic impact of Vijay Kumar Sharma'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 Vijay Kumar Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Kumar Sharma more than expected).
Fields of papers citing papers by Vijay Kumar Sharma
This network shows the impact of papers produced by Vijay Kumar Sharma. 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 Vijay Kumar Sharma. The network helps show where Vijay Kumar Sharma may publish in the future.
Co-authorship network of co-authors of Vijay Kumar Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Kumar Sharma. A scholar is included among the top collaborators of Vijay Kumar Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vijay Kumar Sharma. Vijay Kumar Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 13 | |
| 7 | 33 | |
| 8 | 7 | |
| 9 | Zeitgebers (time cues) for biological clocks | 47 |
| 10 | 8 | |
| 11 | 27 | |
| 12 | 6 | |
| 13 | 11 | |
| 14 | 15 | |
| 15 | 25 | |
| 16 | Synthesis and characterization in vitro of membrane permeant peptide conjugates for imaging and radiotherapy | 2 |
| 17 | 13 | |
| 18 | 16 | |
| 19 | 18 | |
| 20 | 3 |
About Vijay Kumar Sharma
Vijay Kumar Sharma is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience, having authored 128 papers that have together received 2.4k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (87 papers), Neurobiology and Insect Physiology Research (75 papers) and Light effects on plants (23 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.5k citations), Aging (295 citations) and Cellular and Molecular Neuroscience (1.3k citations). Vijay Kumar Sharma has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Vasu Sheeba, M. K. Chandrashekaran, Dhanashree Paranjpe, Todd C. Holmes, Amitabh Joshi, Shahnaz Rahman Lone, Huaiyu Gu, Diane K. O’Dowd, Maki Kaneko and James D. Wuest. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Neuroscience.
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.