Kunal Varshneya
Impact in
- Pathology and Forensic Medicine top 10%
- Spine and Intervertebral Disc Pathology
- Pharmacology top 10%
- Musculoskeletal pain and rehabilitation
Papers in
- Surgery 25
- Cervical and Thoracic Myelopathy 8
- Knee injuries and reconstruction techniques 5
- Total Knee Arthroplasty Outcomes 4
- Scoliosis diagnosis and treatment 4
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- Vascular Malformations Diagnosis and Treatment 3
- Co-authors
- Anand Veeravagu (32 shared papers)John Kevin Ratliff (21 shared papers)Tej Deepak Azad (9 shared papers)Martin Nikolaus Stienen (24 shared papers)Zachary A. Medress (15 shared papers)Allen Lin Ho (13 shared papers)Austin Y. Feng (3 shared papers)Marc Raymond Safran (10 shared papers)
- Journals
- World Neurosurgery (8 papers)Spine (5 papers)Global Spine Journal (4 papers)The American Journal of Sports Medicine (3 papers)Asian Spine Journal (3 papers)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Kunal Varshneya
51 papers receiving 752 citations
Peers
Comparison fields: 5 of 64
- Pathology and Forensic Medicine 136
- Pharmacology 105
- Surgery 240
- Orthopedics and Sports Medicine 35
- Health Informatics 6
Countries citing papers authored by Kunal Varshneya
This map shows the geographic impact of Kunal Varshneya'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 Kunal Varshneya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal Varshneya more than expected).
Fields of papers citing papers by Kunal Varshneya
This network shows the impact of papers produced by Kunal Varshneya. 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 Kunal Varshneya. The network helps show where Kunal Varshneya may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunal Varshneya, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 145 | |
| 2 | 2015 | 57 | |
| 3 | 2019 | 47 | |
| 4 | 2016 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 28 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2020 | 21 | |
| 10 | 2015 | 20 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2019 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2021 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2022 | 14 |
About Kunal Varshneya
Kunal Varshneya is a scholar working on Surgery, Neurology, Pathology and Forensic Medicine, Genetics and Rheumatology, having authored 51 papers that have together received 768 indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (8 papers), Spine and Intervertebral Disc Pathology (6 papers), Knee injuries and reconstruction techniques (5 papers), Total Knee Arthroplasty Outcomes (4 papers), Scoliosis diagnosis and treatment (4 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Glioma Diagnosis and Treatment (3 papers) and Opioid Use Disorder Treatment (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (136 citations), Pharmacology (105 citations), Surgery (240 citations), Orthopedics and Sports Medicine (35 citations) and Health Informatics (6 citations). Kunal Varshneya has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Anand Veeravagu, John Kevin Ratliff, Tej Deepak Azad, Martin Nikolaus Stienen, Zachary A. Medress, Allen Lin Ho, Austin Y. Feng, Marc Raymond Safran, Yi Zhang and Geoffrey D. Abrams. Their work appears in journals such as World Neurosurgery, Spine, Global Spine Journal, The American Journal of Sports Medicine and Asian Spine Journal.
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.