Harsh Deora
Impact in
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications
- Vascular Malformations Diagnosis and Treatment
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- Glioma Diagnosis and Treatment
Papers in
- Co-authors
- Bipin Chaurasia (12 shared papers)Giuseppe Emmanuele Umana (7 shared papers)Manjul Tripathi (28 shared papers)Rakesh Mishra (2 shared papers)Nicola Montemurro (2 shared papers)Kanwaljeet Garg (11 shared papers)Sanjay Behari (13 shared papers)Vishal Chavda (4 shared papers)
- Journals
- World Neurosurgery (22 papers)Child s Nervous System (4 papers)Neurosurgical FOCUS (4 papers)Pediatric Neurosurgery (2 papers)Neurosurgery (2 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Harsh Deora
92 papers receiving 736 citations
Harsh Deora's Hit Papers
Peers
Comparison fields: 5 of 100
- Neurology 161
- Genetics 48
- Surgery 191
- Pathology and Forensic Medicine 77
- Microbiology 3
Countries citing papers authored by Harsh Deora
This map shows the geographic impact of Harsh Deora'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 Harsh Deora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harsh Deora more than expected).
Fields of papers citing papers by Harsh Deora
This network shows the impact of papers produced by Harsh Deora. 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 Harsh Deora. The network helps show where Harsh Deora may publish in the future.
Co-authors
The 25 scholars most cited alongside Harsh Deora, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Virtual Reality in Neurosurgery: Beyond Neurosurgical Planning Hit paper breakdown → | 2022 | 120 |
| 2 | 2021 | 63 | |
| 3 | 2019 | 31 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 15 | |
| 8 | 2017 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2019 | 11 |
About Harsh Deora
Harsh Deora is a scholar working on Neurology, Surgery, Epidemiology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 112 papers that have together received 750 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (14 papers), Intracranial Aneurysms: Treatment and Complications (10 papers), Vascular Malformations Diagnosis and Treatment (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Neurosurgical Procedures and Complications (7 papers), COVID-19 and healthcare impacts (7 papers), Neurofibromatosis and Schwannoma Cases (6 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Neurology (161 citations), Genetics (48 citations), Surgery (191 citations), Pathology and Forensic Medicine (77 citations) and Microbiology (3 citations). Harsh Deora has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Bipin Chaurasia, Giuseppe Emmanuele Umana, Manjul Tripathi, Rakesh Mishra, Nicola Montemurro, Kanwaljeet Garg, Sanjay Behari, Vishal Chavda, Paolo Palmisciano and Dwarakanath Srinivas. Their work appears in journals such as World Neurosurgery, Child s Nervous System, Neurosurgical FOCUS, Pediatric Neurosurgery 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.