Madhavi Pai
- Toxicology top 1%
- Pharmacology top 2%
- Cannabis and Cannabinoid Research 7
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- Neurotransmitter Receptor Influence on Behavior 4
- Sensory Systems top 10%
- Physiology top 10%
- Pain Mechanisms and Treatments 8
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- Acute Myeloid Leukemia Research 3
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- Pharmacological Receptor Mechanisms and Effects 3
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- Mast cells and histamine 3
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- Neutropenia and Cancer Infections 3
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- Advanced Breast Cancer Therapies 2
- Co-authors
- Gin C. HsiehPrasant ChandranPrisca HonoréMichael D. MeyerMichael J. DartJennifer M. FrostTiffany Runyan GarrisonAnita K. Salyers
- Journals
- British Journal of Pharmacology (4 papers)Journal of Medicinal Chemistry (3 papers)European Journal of Pharmacology (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Madhavi Pai
22 papers receiving 889 citations
Peers
Comparison fields: 5 of 82
- Toxicology 143
- Pharmacology 499
- Cellular and Molecular Neuroscience 323
- Sensory Systems 56
- Physiology 297
Countries citing papers authored by Madhavi Pai
This map shows the geographic impact of Madhavi Pai'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 Madhavi Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhavi Pai more than expected).
Fields of papers citing papers by Madhavi Pai
This network shows the impact of papers produced by Madhavi Pai. 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 Madhavi Pai. The network helps show where Madhavi Pai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Madhavi Pai, 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 | 2024 | 6 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 8 | |
| 7 | 2016 | 20 | |
| 8 | 2013 | 38 | |
| 9 | 2012 | 10 | |
| 10 | 2012 | 22 | |
| 11 | 2011 | 47 | |
| 12 | 2010 | 109 | |
| 13 | 2010 | 37 | |
| 14 | 2009 | 19 | |
| 15 | 2009 | 24 | |
| 16 | 2009 | 69 | |
| 17 | 2009 | 96 | |
| 18 | 2008 | 69 | |
| 19 | 2007 | 124 | |
| 20 | 2007 | 77 |
About Madhavi Pai
Madhavi Pai is a scholar working on Toxicology, Pharmacology and Sensory Systems, having authored 22 papers that have together received 906 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Cannabis and Cannabinoid Research (7 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Acute Myeloid Leukemia Research (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Mast cells and histamine (3 papers), Neutropenia and Cancer Infections (3 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Toxicology (143 citations), Pharmacology (499 citations) and Cellular and Molecular Neuroscience (323 citations). Madhavi Pai has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Gin C. Hsieh, Prasant Chandran, Prisca Honoré, Michael D. Meyer, Michael J. Dart, Jennifer M. Frost, Tiffany Runyan Garrison, Anita K. Salyers, Erica J. Wensink and George Grayson. Their work appears in journals such as British Journal of Pharmacology, Journal of Medicinal Chemistry, European Journal of Pharmacology, Blood 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.