Ranjinidevi Ambalavanar
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Endocrine and Autonomic Systems top 5%
- Molecular Biology
- Psychiatry and Mental health top 10%
- Co-authors
- Dean DessemMasayuki MoritaniRichard MorrisChristy L. LudlowRenée MorrisChandra YallampalliYasumasa TanakaUma Yallampalli
- Topics
- Pain Mechanisms and Treatments (8 papers)Neuropeptides and Animal Physiology (8 papers)Neuroscience of respiration and sleep (5 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Ranjinidevi Ambalavanar
18 papers receiving 716 citations
Peers
Comparison fields: 5 of 76
- Physiology 431
- Cellular and Molecular Neuroscience 293
- Endocrine and Autonomic Systems 149
- Molecular Biology 122
- Psychiatry and Mental health 95
Countries citing papers authored by Ranjinidevi Ambalavanar
This map shows the geographic impact of Ranjinidevi Ambalavanar'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 Ranjinidevi Ambalavanar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjinidevi Ambalavanar more than expected).
Fields of papers citing papers by Ranjinidevi Ambalavanar
This network shows the impact of papers produced by Ranjinidevi Ambalavanar. 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 Ranjinidevi Ambalavanar. The network helps show where Ranjinidevi Ambalavanar may publish in the future.
Co-authorship network of co-authors of Ranjinidevi Ambalavanar
This figure shows the co-authorship network connecting the top 25 collaborators of Ranjinidevi Ambalavanar. A scholar is included among the top collaborators of Ranjinidevi Ambalavanar 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 Ranjinidevi Ambalavanar. Ranjinidevi Ambalavanar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 25 | |
| 3 | 43 | |
| 4 | 21 | |
| 5 | 43 | |
| 6 | 35 | |
| 7 | 69 | |
| 8 | 87 | |
| 9 | 33 | |
| 10 | 59 | |
| 11 | 18 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 56 | |
| 16 | 26 | |
| 17 | 87 | |
| 18 | 53 |
About Ranjinidevi Ambalavanar
Ranjinidevi Ambalavanar is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology, having authored 18 papers that have together received 735 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Neuropeptides and Animal Physiology (8 papers) and Neuroscience of respiration and sleep (5 papers). The work is most often cited by research in Complementary and Manual Therapy (49 citations), Endocrine and Autonomic Systems (149 citations) and Physiology (431 citations). Ranjinidevi Ambalavanar has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Dean Dessem, Masayuki Moritani, Richard Morris, Christy L. Ludlow, Renée Morris, Chandra Yallampalli, Yasumasa Tanaka, Uma Yallampalli, Guang Bai and Ronald S. Petralia. Their work appears in journals such as The Journal of Comparative Neurology, Journal of Neurophysiology and Brain 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.