Deepak Khatri

745 citations
75 papers · 434 · h-index 11

Impact in

Papers in

    • Intracranial Aneurysms: Treatment and Complications 11
    • Cerebral Venous Sinus Thrombosis 8
    • Vascular Malformations Diagnosis and Treatment 6
    • Head and Neck Surgical Oncology 12

Deepak Khatri

66 papers receiving 419 citations

Peers

Deepak Khatri
Comparison fields: 5 of 87
  • Genetics 160
  • Neurology 97
  • Neurology 37
  • Health Informatics 4
  • Radiology, Nuclear Medicine and Imaging 64
Replace Giulio Bertani with:
Giulio Bertani Italy
Carlos Velásquez Spain
Pier Paolo Mattogno Italy
Franz Marhold Austria
Daryoush Tavanaiepour United States
Almunder Algird Canada
Vicent Quilis-Quesada Spain
Luke L. Linscott United States
Xiaoyu Qiu China
Lasse Dührsen Germany
Deepak Khatri relative to Giulio Bertani Italy Giulio Bertani's profile →
Citations per field
00.5×1.5×
Giulio Bertani · 1×
Citations per year

Countries citing papers authored by Deepak Khatri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 202055
3 202137
4 202120
5 201815
6 202014
7 201914
8 201912
9 201912
10 202011
11 202010
12 20208
13 20198
14 20208
15 20187
16 20257
17 20217
18 20206
19 20206
20 20206

About Deepak Khatri

Deepak Khatri is a scholar working on Neurology, Surgery, Epidemiology, Genetics and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 434 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (22 papers), Glioma Diagnosis and Treatment (15 papers), Head and Neck Surgical Oncology (12 papers), Intracranial Aneurysms: Treatment and Complications (11 papers), Cerebral Venous Sinus Thrombosis (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Pituitary Gland Disorders and Treatments (6 papers) and Vascular Malformations Diagnosis and Treatment (6 papers). The work is most often cited by research in Genetics (160 citations), Neurology (97 citations), Neurology (37 citations), Health Informatics (4 citations) and Radiology, Nuclear Medicine and Imaging (64 citations). Deepak Khatri has collaborated with scholars based in United States, India and Nepal. Frequent co-authors include John A. Boockvar, Randy S. D’Amico, David J. Langer, Awadhesh Kumar Jaiswal, Daniel Chow, Sanjay Behari, Christopher G. Filippi, Kamlesh Singh Bhaisora, Kuntal Kanti Das and Nicholas B. Dadario. Their work appears in journals such as World Neurosurgery, American Journal of Neuroradiology, Scientific Reports, Agronomy and Frontiers in Plant Science.

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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