Sumit Thakar

65 papers receiving 558 citations

Peers

Sumit Thakar
Comparison fields: 5 of 65
  • Pathology and Forensic Medicine 164
  • Neurology 116
  • Genetics 77
  • Cellular and Molecular Neuroscience 123
  • Surgery 287
Replace Bruno Splavski with:
Bruno Splavski Croatia
Saritha Aryan India
Cuong J. Bui United States
Carl Hardwidge United Kingdom
José Marcus Rotta Brazil
Daniel R. Felbaum United States
Smruti Patel United States
Jayesh Sardhara India
Muhammad Ehsan Bari Pakistan
Mansour Mathkour United States
Sumit Thakar relative to Bruno Splavski Croatia Bruno Splavski's profile →
Citations per field
00.5×1.6×
Bruno Splavski · 1×
Citations per year

Countries citing papers authored by Sumit Thakar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with Sumit Thakar Line = papers co-authored together Sumit Thakar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201442
2 201841
3 201440
4 201639
5 201338
6 201435
7 201735
8 201024
9 200922
10 201717
11 201215
12 201114
13 201812
14 200811
15 20199
16 20179
17 20168
18 20118
19 20107
20 20117

About Sumit Thakar

Sumit Thakar is a scholar working on Surgery, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience and Neurology, having authored 71 papers that have together received 568 indexed citations. Recurring topics across this work include Spinal Dysraphism and Malformations (16 papers), Cerebrospinal fluid and hydrocephalus (14 papers), Spine and Intervertebral Disc Pathology (13 papers), Spinal Fractures and Fixation Techniques (13 papers), Meningioma and schwannoma management (11 papers), Pituitary Gland Disorders and Treatments (10 papers), Glioma Diagnosis and Treatment (10 papers) and Cervical and Thoracic Myelopathy (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (164 citations), Neurology (116 citations), Genetics (77 citations), Cellular and Molecular Neuroscience (123 citations) and Surgery (287 citations). Sumit Thakar has collaborated with scholars based in India, Italy and Belgium. Frequent co-authors include Alangar S. Hegde, Saritha Aryan, Dilip Mohan, Narayanam Anantha Sai Kiran, Sunil V. Furtado, Vedantam Rajshekhar, Ravi Dadlani, Nandita Ghosal, Mazda K. Turel and Solomon Christopher. Their work appears in journals such as World Neurosurgery, Journal of Neurosurgery Spine, Child s Nervous System, Clinical Neurology and Neurosurgery and Acta Neurochirurgica.

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.

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