Sumit Thakar
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Spinal Dysraphism and Malformations
- Telemedicine and Telehealth Implementation
Papers in
- Co-authors
- Alangar Satyaranjandas Hegde (57 shared papers)Saritha Aryan (33 shared papers)Dilip Mohan (25 shared papers)Sunil Valentine Furtado (18 shared papers)Narayanam Anantha Sai Kiran (18 shared papers)Vedantam Rajshekhar (5 shared papers)Nandita Ghosal (24 shared papers)Ravi Dadlani (9 shared papers)
- Journals
- World Neurosurgery (8 papers)Journal of Neurosurgery Spine (7 papers)Child s Nervous System (6 papers)The Spine Journal (4 papers)Clinical Neuropathology (3 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Sumit Thakar
76 papers receiving 723 citations
Peers
Comparison fields: 5 of 74
- Genetics 87
- Public Health, Environmental and Occupational Health 233
- Surgery 173
- Neurology 55
- Pathology and Forensic Medicine 56
Countries citing papers authored by Sumit Thakar
This map shows the geographic impact of Sumit Thakar'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 Sumit Thakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Thakar more than expected).
Fields of papers citing papers by Sumit Thakar
This network shows the impact of papers produced by Sumit Thakar. 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 Sumit Thakar. The network helps show where Sumit Thakar may publish in the future.
Co-authors
The 24 scholars most cited alongside Sumit Thakar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 49 | |
| 2 | 2018 | 47 | |
| 3 | 2022 | 47 | |
| 4 | 2023 | 46 | |
| 5 | 2014 | 43 | |
| 6 | 2013 | 41 | |
| 7 | 2016 | 39 | |
| 8 | 2017 | 38 | |
| 9 | 2014 | 37 | |
| 10 | 2010 | 27 | |
| 11 | 2009 | 24 | |
| 12 | 2011 | 17 | |
| 13 | 2017 | 17 | |
| 14 | 2012 | 15 | |
| 15 | 2011 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2008 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2017 | 9 |
About Sumit Thakar
Sumit Thakar is a scholar working on Genetics, Neurology, Surgery, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 84 papers that have together received 747 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Spinal Dysraphism and Malformations (12 papers), Pituitary Gland Disorders and Treatments (10 papers), Cervical and Thoracic Myelopathy (8 papers), Meningioma and schwannoma management (7 papers), Head and Neck Surgical Oncology (4 papers), Teratomas and Epidermoid Cysts (4 papers) and Testicular diseases and treatments (3 papers). The work is most often cited by research in Genetics (87 citations), Public Health, Environmental and Occupational Health (233 citations), Surgery (173 citations), Neurology (55 citations) and Pathology and Forensic Medicine (56 citations). Sumit Thakar has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Alangar Satyaranjandas Hegde, Saritha Aryan, Dilip Mohan, Sunil Valentine Furtado, Narayanam Anantha Sai Kiran, Vedantam Rajshekhar, Nandita Ghosal, Ravi Dadlani, Mazda Keki Turel and Solomon Christopher. Their work appears in journals such as World Neurosurgery, Journal of Neurosurgery Spine, Child s Nervous System, The Spine Journal and Clinical Neuropathology.
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.