Deepak Khatri
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Intracranial Aneurysms: Treatment and Complications
- Brain Tumor Detection and Classification
Papers in
- Co-authors
- John A. Boockvar (8 shared papers)Randy S. D’Amico (8 shared papers)David J. Langer (12 shared papers)Sanjay Behari (23 shared papers)Awadhesh Kumar Jaiswal (18 shared papers)Christopher G. Filippi (4 shared papers)Kuntal Kanti Das (21 shared papers)Kamlesh Singh Bhaisora (18 shared papers)
- Journals
- World Neurosurgery (17 papers)American Journal of Neuroradiology (3 papers)Child s Nervous System (1 paper)Agronomy (1 paper)Journal of Stroke and Cerebrovascular Diseases (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Deepak Khatri
69 papers receiving 464 citations
Peers
Comparison fields: 5 of 87
- Genetics 128
- Neurology 75
- Neurology 32
- Health Informatics 4
- Radiology, Nuclear Medicine and Imaging 52
Countries citing papers authored by Deepak Khatri
This map shows the geographic impact of Deepak Khatri'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 Deepak Khatri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Khatri more than expected).
Fields of papers citing papers by Deepak Khatri
This network shows the impact of papers produced by Deepak Khatri. 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 Deepak Khatri. The network helps show where Deepak Khatri may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Khatri, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2020 | 59 | |
| 3 | 2021 | 42 | |
| 4 | 2021 | 20 | |
| 5 | 2020 | 15 | |
| 6 | 2018 | 15 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2025 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2018 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2020 | 6 |
About Deepak Khatri
Deepak Khatri is a scholar working on Neurology, Surgery, Epidemiology, Genetics and Pathology and Forensic Medicine, having authored 77 papers that have together received 478 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (10 papers), Meningioma and schwannoma management (10 papers), Glioma Diagnosis and Treatment (10 papers), Head and Neck Surgical Oncology (6 papers), Cerebral Venous Sinus Thrombosis (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Trigeminal Neuralgia and Treatments (4 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). The work is most often cited by research in Genetics (128 citations), Neurology (75 citations), Neurology (32 citations), Health Informatics (4 citations) and Radiology, Nuclear Medicine and Imaging (52 citations). Deepak Khatri has collaborated with scholars based in United States, India and Canada. Frequent co-authors include John A. Boockvar, Randy S. D’Amico, David J. Langer, Sanjay Behari, Awadhesh Kumar Jaiswal, Christopher G. Filippi, Kuntal Kanti Das, Kamlesh Singh Bhaisora, Daniel Chow and Nicholas B. Dadario. Their work appears in journals such as World Neurosurgery, American Journal of Neuroradiology, Child s Nervous System, Agronomy and Journal of Stroke and Cerebrovascular Diseases.
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.