Vasu Sheeba

2.2k citations
57 papers · 1.6k · h-index 21

Impact in

Papers in

Vasu Sheeba

56 papers receiving 1.6k citations

Peers

Vasu Sheeba
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 994
  • Aging 173
  • Cellular and Molecular Neuroscience 1.1k
  • Genetics 287
  • Insect Science 124
Replace Brian Y. Chung with:
Brian Y. Chung United States
Taishi Yoshii Japan
Xiangzhong Zheng United States
Quan Yuan United States
Dirk Rieger Germany
Orie T. Shafer United States
Bridget C. Lear United States
Justin Blau United States
Kathleen K. Siwicki United States
Laurent Seugnet France
Vasu Sheeba relative to Brian Y. Chung United States Brian Y. Chung's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vasu Sheeba

Since Specialization
Citations

This map shows the geographic impact of Vasu Sheeba'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 Vasu Sheeba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasu Sheeba more than expected).

Fields of papers citing papers by Vasu Sheeba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vasu Sheeba. 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 Vasu Sheeba. The network helps show where Vasu Sheeba may publish in the future.

Co-authors

The 25 scholars most cited alongside Vasu Sheeba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vasu Sheeba Line = papers co-authored together Vasu Sheeba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006226
2 2008208
3 2007160
4 200875
5 200062
6 200859
7 200459
8 200056
9 201050
10 199849
11 201343
12 201836
13 199935
14 200833
15 200130
16 201530
17 201828
18 200825
19 201324
20 201623

About Vasu Sheeba

Vasu Sheeba is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Ecology, Evolution, Behavior and Systematics, Genetics and Molecular Biology, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (41 papers), Circadian rhythm and melatonin (39 papers), Insect and Arachnid Ecology and Behavior (10 papers), Plant and animal studies (10 papers), Physiological and biochemical adaptations (7 papers), Photoreceptor and optogenetics research (6 papers), Light effects on plants (5 papers) and Supramolecular Chemistry and Complexes (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (994 citations), Aging (173 citations), Cellular and Molecular Neuroscience (1.1k citations), Genetics (287 citations) and Insect Science (124 citations). Vasu Sheeba has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Todd C. Holmes, Vijay Kumar Sharma, Amitabh Joshi, Keri J. Fogle, M. K. Chandrashekaran, Diane K. O’Dowd, Huaiyu Gu, Michael N. Nitabach, Maki Kaneko and Yu-Ting Chou. Their work appears in journals such as Journal of Biological Rhythms, Journal of Neuroscience, PLoS ONE, Journal of Experimental Biology and Chronobiology International.

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.

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