Vadiraja B. Bhat
- Molecular Biology top 10%
- Renewable Energy, Sustainability and the Environment top 5%
- Physiology top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Aquatic Science top 2%
- Co-authors
- K. M. MadyasthaGaddam KiranmaiMadhava C. ReddyJohn S. WishnokSteven R. TannenbaumPallu ReddannaKenneth M. BakerVivek Singh
- Topics
- Advanced Proteomics Techniques and Applications (4 papers)Glycosylation and Glycoproteins Research (3 papers)Free Radicals and Antioxidants (3 papers)
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Vadiraja B. Bhat
26 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 840
- Renewable Energy, Sustainability and the Environment 476
- Physiology 189
- Ecology, Evolution, Behavior and Systematics 167
- Aquatic Science 160
Countries citing papers authored by Vadiraja B. Bhat
This map shows the geographic impact of Vadiraja B. Bhat'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 Vadiraja B. Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vadiraja B. Bhat more than expected).
Fields of papers citing papers by Vadiraja B. Bhat
This network shows the impact of papers produced by Vadiraja B. Bhat. 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 Vadiraja B. Bhat. The network helps show where Vadiraja B. Bhat may publish in the future.
Co-authorship network of co-authors of Vadiraja B. Bhat
This figure shows the co-authorship network connecting the top 25 collaborators of Vadiraja B. Bhat. A scholar is included among the top collaborators of Vadiraja B. Bhat 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 Vadiraja B. Bhat. Vadiraja B. Bhat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Shank3 mutation in a mouse model of autism leads to changes in the S-nitroso-proteome and affects key proteins involved in vesicle release and synaptic function | 2 |
| 2 | 75 | |
| 3 | 10 | |
| 4 | 32 | |
| 5 | 24 | |
| 6 | 88 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 34 | |
| 11 | 14 | |
| 12 | 105 | |
| 13 | 19 | |
| 14 | 119 | |
| 15 | 83 | |
| 16 | 170 | |
| 17 | 9 | |
| 18 | 73 | |
| 19 | 248 | |
| 20 | 382 |
About Vadiraja B. Bhat
Vadiraja B. Bhat is a scholar working on Biochemistry, Physiology and Spectroscopy, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Free Radicals and Antioxidants (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (476 citations), Aquatic Science (160 citations) and Biochemistry (128 citations). Vadiraja B. Bhat has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include K. M. Madyastha, Gaddam Kiranmai, Madhava C. Reddy, John S. Wishnok, Steven R. Tannenbaum, Pallu Reddanna, Kenneth M. Baker, Vivek Singh, Bao T. Le and Rajesh Kumar. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.
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.