Devang K. Thakor
Impact in
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- Spine and Intervertebral Disc Pathology
- Spinal Cord Injury Research
- Developmental Neuroscience top 10%
Papers in
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- RNA Interference and Gene Delivery 3
- Genetics 5
- Mesenchymal stem cell research 5
- Virus-based gene therapy research 3
- Co-authors
- Yang D. Teng (7 shared papers)Yasuhiko Tabata (4 shared papers)Alexander E. Ropper (4 shared papers)Inbo Han (3 shared papers)Ichiro Nishimura (3 shared papers)Igor Spigelman (2 shared papers)Ross Zafonte (4 shared papers)Dou Yu (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biomaterials (2 papers)Journal of Surgical Research (1 paper)Experimental Neurology (1 paper)Tissue Engineering Part C Methods (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Devang K. Thakor
13 papers receiving 698 citations
Peers
Comparison fields: 5 of 78
- Pathology and Forensic Medicine 214
- Developmental Neuroscience 47
- Genetics 120
- Cellular and Molecular Neuroscience 135
- Pharmacology 97
Countries citing papers authored by Devang K. Thakor
This map shows the geographic impact of Devang K. Thakor'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 Devang K. Thakor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devang K. Thakor more than expected).
Fields of papers citing papers by Devang K. Thakor
This network shows the impact of papers produced by Devang K. Thakor. 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 Devang K. Thakor. The network helps show where Devang K. Thakor may publish in the future.
Co-authors
The 25 scholars most cited alongside Devang K. Thakor, 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 | 2017 | 167 | |
| 2 | 2009 | 95 | |
| 3 | 2017 | 82 | |
| 4 | 2013 | 59 | |
| 5 | 2009 | 58 | |
| 6 | 2009 | 47 | |
| 7 | 2007 | 44 | |
| 8 | 1999 | 42 | |
| 9 | 2012 | 31 | |
| 10 | 2007 | 30 | |
| 11 | 2019 | 24 | |
| 12 | 2010 | 17 | |
| 13 | 2018 | 12 |
About Devang K. Thakor
Devang K. Thakor is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Genetics, having authored 13 papers that have together received 708 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Nerve injury and regeneration (3 papers), RNA Interference and Gene Delivery (3 papers), Virus-based gene therapy research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Spinal Cord Injury Research (2 papers), Bone and Dental Protein Studies (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (214 citations), Developmental Neuroscience (47 citations), Genetics (120 citations), Cellular and Molecular Neuroscience (135 citations) and Pharmacology (97 citations). Devang K. Thakor has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Yang D. Teng, Yasuhiko Tabata, Alexander E. Ropper, Inbo Han, Ichiro Nishimura, Igor Spigelman, Ross Zafonte, Dou Yu, Edward M. Meyer and Audrey Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biomaterials, Journal of Surgical Research, Experimental Neurology and Tissue Engineering Part C Methods.
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.