Anil H. Vaidya
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Organic Chemistry
- Nutrition and Dietetics
- Co-authors
- Kenny J. SimanskyAllen B. ReitzDaniel I. RosenthalJeffrey J. CrookeBoyu ZhaoAlfonzo D. JordanBarry DubinskyK. Eberle‐Wang
- Topics
- Neurotransmitter Receptor Influence on Behavior (7 papers)Neuropeptides and Animal Physiology (5 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsAlcoholism Clinical and Experimental Research
- Partner nations
- United StatesGermany
In The Last Decade
Anil H. Vaidya
16 papers receiving 335 citations
Peers
Comparison fields: 5 of 62
- Cellular and Molecular Neuroscience 155
- Molecular Biology 140
- Endocrine and Autonomic Systems 83
- Organic Chemistry 74
- Nutrition and Dietetics 50
Countries citing papers authored by Anil H. Vaidya
This map shows the geographic impact of Anil H. Vaidya'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 Anil H. Vaidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil H. Vaidya more than expected).
Fields of papers citing papers by Anil H. Vaidya
This network shows the impact of papers produced by Anil H. Vaidya. 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 Anil H. Vaidya. The network helps show where Anil H. Vaidya may publish in the future.
Co-authorship network of co-authors of Anil H. Vaidya
This figure shows the co-authorship network connecting the top 25 collaborators of Anil H. Vaidya. A scholar is included among the top collaborators of Anil H. Vaidya 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 Anil H. Vaidya. Anil H. Vaidya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 12 | |
| 3 | 12 | |
| 4 | 11 | |
| 5 | 13 | |
| 6 | 21 | |
| 7 | 42 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 20 | |
| 11 | 31 | |
| 12 | 17 | |
| 13 | 36 | |
| 14 | 15 | |
| 15 | 77 | |
| 16 | 12 |
About Anil H. Vaidya
Anil H. Vaidya is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 16 papers that have together received 343 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neuropeptides and Animal Physiology (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (83 citations), Cellular and Molecular Neuroscience (155 citations) and Behavioral Neuroscience (20 citations). Anil H. Vaidya has collaborated with scholars based in United States and Germany. Frequent co-authors include Kenny J. Simansky, Allen B. Reitz, Daniel I. Rosenthal, Jeffrey J. Crooke, Boyu Zhao, Alfonzo D. Jordan, Barry Dubinsky, K. Eberle‐Wang, Timothy W. Lovenberg and Sandy J. Wilson. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Alcoholism Clinical and Experimental 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.