Pavitra Kannan
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 12
- Neurology top 10%
- Biological Psychiatry top 10%
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- Pharmacological Effects and Toxicity Studies 9
- Modeling and Simulation top 5%
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- Cancer, Hypoxia, and Metabolism 5
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- Receptor Mechanisms and Signaling 5
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- Trace Elements in Health 4
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- Neuropeptides and Animal Physiology 4
- Neuroscience and Neuropharmacology Research 3
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- Medical Imaging Techniques and Applications 3
- Co-authors
- Robert B. InnisMatthew D. HallMichael M. GottesmanVictor W. PikeSami S. ZoghbiChrister HalldinSanjay TeluWilliam Charles Kreisl
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (2 papers)NeuroImage (3 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Pavitra Kannan
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Oncology 517
- Neurology 109
- Biological Psychiatry 31
- Pediatrics, Perinatology and Child Health 233
- Modeling and Simulation 52
Countries citing papers authored by Pavitra Kannan
This map shows the geographic impact of Pavitra Kannan'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 Pavitra Kannan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavitra Kannan more than expected).
Fields of papers citing papers by Pavitra Kannan
This network shows the impact of papers produced by Pavitra Kannan. 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 Pavitra Kannan. The network helps show where Pavitra Kannan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pavitra Kannan, 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 | 4 | |
| 2 | 2024 | 8 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 26 | |
| 7 | 2019 | 5 | |
| 8 | 2017 | 31 | |
| 9 | 2016 | 40 | |
| 10 | 2016 | 45 | |
| 11 | 2015 | 56 | |
| 12 | 2015 | 3 | |
| 13 | 2014 | 36 | |
| 14 | 2011 | 45 | |
| 15 | 2010 | 38 | |
| 16 | 2010 | 17 | |
| 17 | 2009 | 226 | |
| 18 | 2008 | 40 | |
| 19 | 2007 | 15 | |
| 20 | 2006 | 40 |
About Pavitra Kannan
Pavitra Kannan is a scholar working on Oncology, Cellular and Molecular Neuroscience and Cancer Research, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Pharmacological Effects and Toxicity Studies (9 papers), Cancer, Hypoxia, and Metabolism (5 papers), Receptor Mechanisms and Signaling (5 papers), Trace Elements in Health (4 papers), Neuropeptides and Animal Physiology (4 papers), Medical Imaging Techniques and Applications (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Oncology (517 citations), Neurology (109 citations) and Biological Psychiatry (31 citations). Pavitra Kannan has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Robert B. Innis, Matthew D. Hall, Michael M. Gottesman, Victor W. Pike, Sami S. Zoghbi, Christer Halldin, Sanjay Telu, William Charles Kreisl, Cheryl L. Morse and Christy S. John. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.
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.