Deepak Patkar

975 citations
53 papers · 653 · h-index 13

Impact in

  • Surgery top 10%
    • Infectious Diseases and Tuberculosis
    • Orthopedic Infections and Treatments
    • Spinal Fractures and Fixation Techniques
    • Congenital Anomalies and Fetal Surgery
    • Nanoparticle-Based Drug Delivery

Papers in

Deepak Patkar

46 papers receiving 611 citations

Peers

Deepak Patkar
Comparison fields: 5 of 85
  • Surgery 281
  • Biomaterials 74
  • Rheumatology 75
  • Pathology and Forensic Medicine 79
  • Neurology 56
Replace Chao‐Jan Wang with:
Chao‐Jan Wang Taiwan
Luca Grimaldi Italy
Nobuyoshi Mizukawa Japan
Kamiar Mireskandari Canada
Guangyu Tang China
Michael C. Hill United States
Hee Jung Kim South Korea
K Kinoshita Japan
Johanna Jokinen Finland
Ping Gu China
Deepak Patkar relative to Chao‐Jan Wang Taiwan Chao‐Jan Wang's profile →
Citations per field
00.5×1.5×1.8×
Chao‐Jan Wang · 1×
Citations per year

Countries citing papers authored by Deepak Patkar

Since Specialization
Citations

This map shows the geographic impact of Deepak Patkar'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 Patkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Patkar more than expected).

Fields of papers citing papers by Deepak Patkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak Patkar. 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 Patkar. The network helps show where Deepak Patkar may publish in the future.

Co-authors

The 25 scholars most cited alongside Deepak Patkar, 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 Patkar Line = papers co-authored together Deepak Patkar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013106
2 200252
3 201645
4 200144
5 200141
6 200138
7 200429
8 201025
9 200421
10 200218
11 200717
12 200316
13 200115
14 201311
15 201211
16 200611
17 202010
18 200610
19 200510
20 200310

About Deepak Patkar

Deepak Patkar is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Rheumatology and Pediatrics, Perinatology and Child Health, having authored 53 papers that have together received 653 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (4 papers), Orthopedic Infections and Treatments (4 papers), Infectious Diseases and Tuberculosis (4 papers), Spinal Fractures and Fixation Techniques (4 papers), COVID-19 diagnosis using AI (3 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Meningioma and schwannoma management (3 papers) and Spinal Dysraphism and Malformations (3 papers). The work is most often cited by research in Surgery (281 citations), Biomaterials (74 citations), Rheumatology (75 citations), Pathology and Forensic Medicine (79 citations) and Neurology (56 citations). Deepak Patkar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Jeshil R. Shah, Hemant Parmar, Tufail Patankar, Malini Lawande, Maurício Castillo, D. Bahadur, Sarika Singh, K.C. Barick, P. A. Hassan and Srinivasa R. Prasad. Their work appears in journals such as Neuroradiology, Acta Radiologica, Spine, The Spine Journal and Journal of Nutrition.

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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