Deepak Kaji
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Tendon Structure and Treatment
Papers in
- Surgery 10
- Spinal Fractures and Fixation Techniques 3
- Management of metastatic bone disease 2
- Shoulder Injury and Treatment 2
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- Medical Imaging and Analysis 6
- Co-authors
- Samuel K. Cho (9 shared papers)Jun Kim (9 shared papers)Eric K. Oermann (6 shared papers)Varun Arvind (8 shared papers)Thomas Kahn (2 shared papers)Kevin L. Thomas (1 shared paper)Alice H. Huang (5 shared papers)John M. Caridi (4 shared papers)
- Journals
- Spine (2 papers)PLoS ONE (2 papers)The Spine Journal (2 papers)Global Spine Journal (2 papers)Spine Deformity (1 paper)
- Partner nations
- United StatesBrazilHong Kong
In The Last Decade
Deepak Kaji
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Health Informatics 107
- Orthopedics and Sports Medicine 109
- Pathology and Forensic Medicine 223
- Surgery 366
- Health Information Management 35
Countries citing papers authored by Deepak Kaji
This map shows the geographic impact of Deepak Kaji'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 Kaji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Kaji more than expected).
Fields of papers citing papers by Deepak Kaji
This network shows the impact of papers produced by Deepak Kaji. 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 Kaji. The network helps show where Deepak Kaji may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Kaji, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 137 | |
| 2 | 2019 | 133 | |
| 3 | 1986 | 99 | |
| 4 | 2018 | 71 | |
| 5 | 2020 | 70 | |
| 6 | 2018 | 67 | |
| 7 | 1985 | 63 | |
| 8 | 2019 | 58 | |
| 9 | 2017 | 52 | |
| 10 | 1987 | 52 | |
| 11 | 2015 | 43 | |
| 12 | 2015 | 39 | |
| 13 | 2018 | 34 | |
| 14 | 2018 | 27 | |
| 15 | 2021 | 24 | |
| 16 | 1990 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2017 | 18 | |
| 19 | 2014 | 14 | |
| 20 | 2020 | 13 |
About Deepak Kaji
Deepak Kaji is a scholar working on Surgery, Biomedical Engineering, Pathology and Forensic Medicine, Molecular Biology and Orthopedics and Sports Medicine, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Imaging and Analysis (6 papers), Spine and Intervertebral Disc Pathology (5 papers), Tendon Structure and Treatment (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Air Quality and Health Impacts (3 papers), Ion Transport and Channel Regulation (3 papers), Management of metastatic bone disease (2 papers) and Shoulder Injury and Treatment (2 papers). The work is most often cited by research in Health Informatics (107 citations), Orthopedics and Sports Medicine (109 citations), Pathology and Forensic Medicine (223 citations), Surgery (366 citations) and Health Information Management (35 citations). Deepak Kaji has collaborated with scholars based in United States, Brazil and Hong Kong. Frequent co-authors include Samuel K. Cho, Jun Kim, Eric K. Oermann, Varun Arvind, Thomas Kahn, Kevin L. Thomas, Alice H. Huang, John M. Caridi, Anthony Costa and John R. Zech. Their work appears in journals such as Spine, PLoS ONE, The Spine Journal, Global Spine Journal and Spine Deformity.
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.