Matthew Thakur
Impact in
- Physiology top 10%
- Pain Mechanisms and Treatments
- Developmental Neuroscience top 10%
Papers in
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- Pain Mechanisms and Treatments 6
-
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Anthony H. Dickenson (3 shared papers)Ralf Baron (1 shared paper)David Bennett (2 shared papers)Stephen B. McMahon (4 shared papers)Wahida Rahman (1 shared paper)Carl Hobbs (1 shared paper)Ignacio Muñoz-Sanjuán (2 shared papers)James Bilsland (2 shared papers)
- Journals
- Frontiers in Molecular Neuroscience (2 papers)Pain (1 paper)Journal of Neuroscience (1 paper)Journal of Biological Chemistry (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Matthew Thakur
11 papers receiving 786 citations
Peers
Comparison fields: 5 of 97
- Physiology 335
- Developmental Neuroscience 52
- Rheumatology 180
- Cellular and Molecular Neuroscience 187
- Pharmacology 161
Countries citing papers authored by Matthew Thakur
This map shows the geographic impact of Matthew Thakur'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 Matthew Thakur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Thakur more than expected).
Fields of papers citing papers by Matthew Thakur
This network shows the impact of papers produced by Matthew Thakur. 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 Matthew Thakur. The network helps show where Matthew Thakur may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Thakur, 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 | 2014 | 197 | |
| 2 | 2007 | 138 | |
| 3 | 2012 | 115 | |
| 4 | 2014 | 92 | |
| 5 | 2006 | 66 | |
| 6 | 2009 | 45 | |
| 7 | 2012 | 43 | |
| 8 | 2006 | 36 | |
| 9 | 2022 | 30 | |
| 10 | 2013 | 27 | |
| 11 | 2017 | 16 |
About Matthew Thakur
Matthew Thakur is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Rheumatology, having authored 11 papers that have together received 805 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Inflammatory mediators and NSAID effects (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Physiology (335 citations), Developmental Neuroscience (52 citations), Rheumatology (180 citations), Cellular and Molecular Neuroscience (187 citations) and Pharmacology (161 citations). Matthew Thakur has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Anthony H. Dickenson, Ralf Baron, David Bennett, Stephen B. McMahon, Wahida Rahman, Carl Hobbs, Ignacio Muñoz-Sanjuán, James Bilsland, George McAllister and Timothy P. Bonnert. Their work appears in journals such as Frontiers in Molecular Neuroscience, Pain, Journal of Neuroscience, Journal of Biological Chemistry and European Journal of Neuroscience.
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.