Prasant Chandran
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Pain Mechanisms and Treatments
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis
Papers in
-
- Pain Mechanisms and Treatments 7
- Adenosine and Purinergic Signaling 2
-
- Pharmacological Receptor Mechanisms and Effects 5
- Co-authors
- Gin C. Hsieh (9 shared papers)Prisca Honoré (8 shared papers)Kathleen A. Sluka (2 shared papers)Chang Zhu (6 shared papers)Madhavi Pai (7 shared papers)Michael F. Jarvis (3 shared papers)Chengmin Zhong (2 shared papers)Marian T. Namovic (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Pain (2 papers)Brain Research (2 papers)Biochemical Pharmacology (1 paper)Behavioural Brain Research (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Prasant Chandran
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Physiology 342
- Toxicology 96
- Pharmacology 333
- Cellular and Molecular Neuroscience 285
- Physiology 363
Countries citing papers authored by Prasant Chandran
This map shows the geographic impact of Prasant Chandran'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 Prasant Chandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasant Chandran more than expected).
Fields of papers citing papers by Prasant Chandran
This network shows the impact of papers produced by Prasant Chandran. 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 Prasant Chandran. The network helps show where Prasant Chandran may publish in the future.
Co-authors
The 25 scholars most cited alongside Prasant Chandran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 350 | |
| 2 | 2009 | 116 | |
| 3 | 2010 | 109 | |
| 4 | 2009 | 96 | |
| 5 | 2003 | 94 | |
| 6 | 2009 | 90 | |
| 7 | 2011 | 74 | |
| 8 | 2008 | 69 | |
| 9 | 2009 | 69 | |
| 10 | 2010 | 41 | |
| 11 | 2008 | 41 | |
| 12 | 2010 | 37 | |
| 13 | 2011 | 21 | |
| 14 | 2012 | 21 | |
| 15 | 2002 | 20 | |
| 16 | 2012 | 10 | |
| 17 | 2010 | 1 |
About Prasant Chandran
Prasant Chandran is a scholar working on Physiology, Molecular Biology, Pharmacology, Rheumatology and Immunology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (7 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Cannabis and Cannabinoid Research (4 papers), Mast cells and histamine (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Adenosine and Purinergic Signaling (2 papers), Tryptophan and brain disorders (2 papers) and Anesthesia and Pain Management (2 papers). The work is most often cited by research in Physiology (342 citations), Toxicology (96 citations), Pharmacology (333 citations), Cellular and Molecular Neuroscience (285 citations) and Physiology (363 citations). Prasant Chandran has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gin C. Hsieh, Prisca Honoré, Kathleen A. Sluka, Chang Zhu, Madhavi Pai, Michael F. Jarvis, Chengmin Zhong, Marian T. Namovic, Diana L. Donnelly‐Roberts and Kennan C. Marsh. Their work appears in journals such as Journal of Medicinal Chemistry, Pain, Brain Research, Biochemical Pharmacology and Behavioural 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.