Kumar Abhinav
Impact in
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research
-
- Advanced Neuroimaging Techniques and Applications
Papers in
- Neurology 15
- Amyotrophic Lateral Sclerosis Research 5
- Vascular Malformations Diagnosis and Treatment 4
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- Advanced Neuroimaging Techniques and Applications 9
- Co-authors
- Juan Carlos Fernandez-Miranda (21 shared papers)Fang-Cheng F. Yeh (9 shared papers)Sandip S. Panesar (5 shared papers)Paul A. Gardner (7 shared papers)Ammar Al‐Chalabi (5 shared papers)Sudhir Pathak (4 shared papers)Eric W. Wang (4 shared papers)Robert Max Friedlander (5 shared papers)
- Journals
- Journal of neurosurgery (5 papers)Operative Neurosurgery (5 papers)Neurosurgery (4 papers)Neuroepidemiology (2 papers)Clinical Neurology and Neurosurgery (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Kumar Abhinav
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 84
- Neurology 494
- Radiology, Nuclear Medicine and Imaging 366
- Drug Discovery 2
- Genetics 60
- Rheumatology 89
Countries citing papers authored by Kumar Abhinav
This map shows the geographic impact of Kumar Abhinav'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 Kumar Abhinav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Abhinav more than expected).
Fields of papers citing papers by Kumar Abhinav
This network shows the impact of papers produced by Kumar Abhinav. 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 Kumar Abhinav. The network helps show where Kumar Abhinav may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Abhinav, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 174 | |
| 2 | 2018 | 154 | |
| 3 | 2007 | 124 | |
| 4 | 2017 | 121 | |
| 5 | 2014 | 98 | |
| 6 | 2015 | 75 | |
| 7 | 2016 | 71 | |
| 8 | 2019 | 58 | |
| 9 | 2018 | 46 | |
| 10 | 2006 | 45 | |
| 11 | 2015 | 45 | |
| 12 | 2015 | 39 | |
| 13 | 2008 | 36 | |
| 14 | 2014 | 33 | |
| 15 | 2020 | 32 | |
| 16 | 2013 | 31 | |
| 17 | 2013 | 24 | |
| 18 | 2014 | 24 | |
| 19 | 2014 | 23 | |
| 20 | 2015 | 23 |
About Kumar Abhinav
Kumar Abhinav is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Surgery, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Vascular Malformations Diagnosis and Treatment (4 papers), Moyamoya disease diagnosis and treatment (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Meningioma and schwannoma management (3 papers) and Anatomy and Medical Technology (3 papers). The work is most often cited by research in Neurology (494 citations), Radiology, Nuclear Medicine and Imaging (366 citations), Drug Discovery (2 citations), Genetics (60 citations) and Rheumatology (89 citations). Kumar Abhinav has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Juan Carlos Fernandez-Miranda, Fang-Cheng F. Yeh, Sandip S. Panesar, Paul A. Gardner, Ammar Al‐Chalabi, Sudhir Pathak, Eric W. Wang, Robert Max Friedlander, Richard W. Orrell and Biba R. Stanton. Their work appears in journals such as Journal of neurosurgery, Operative Neurosurgery, Neurosurgery, Neuroepidemiology and Clinical Neurology and Neurosurgery.
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.