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 7
- Management of metastatic bone disease 2
- Shoulder Injury and Treatment 2
- Knee injuries and reconstruction techniques 2
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- Ion Transport and Channel Regulation 3
- Ion channel regulation and function 2
- 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)Alice H. Huang (5 shared papers)Kevin L. Thomas (1 shared paper)John R. Zech (2 shared papers)
- Journals
- Spine (2 papers)PLoS ONE (2 papers)Global Spine Journal (2 papers)The Spine Journal (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesBrazilHong Kong
In The Last Decade
Deepak Kaji
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Health Informatics 86
- Orthopedics and Sports Medicine 106
- Pathology and Forensic Medicine 139
- Surgery 277
- Family Practice 11
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 | 140 | |
| 2 | 2019 | 140 | |
| 3 | 1986 | 99 | |
| 4 | 2018 | 72 | |
| 5 | 2020 | 71 | |
| 6 | 2018 | 68 | |
| 7 | 1985 | 64 | |
| 8 | 2019 | 60 | |
| 9 | 1987 | 52 | |
| 10 | 2017 | 52 | |
| 11 | 2015 | 43 | |
| 12 | 2015 | 40 | |
| 13 | 2018 | 35 | |
| 14 | 2018 | 28 | |
| 15 | 2021 | 27 | |
| 16 | 2021 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 1990 | 19 | |
| 19 | 2014 | 15 | |
| 20 | 2020 | 14 |
About Deepak Kaji
Deepak Kaji is a scholar working on Surgery, Molecular Biology, Orthopedics and Sports Medicine, Genetics and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (3 papers), Tendon Structure and Treatment (3 papers), Management of metastatic bone disease (2 papers), Air Quality and Health Impacts (2 papers), Shoulder Injury and Treatment (2 papers), Ion channel regulation and function (2 papers), Knee injuries and reconstruction techniques (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Health Informatics (86 citations), Orthopedics and Sports Medicine (106 citations), Pathology and Forensic Medicine (139 citations), Surgery (277 citations) and Family Practice (11 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, Alice H. Huang, Kevin L. Thomas, John R. Zech, John M. Caridi and Anthony Costa. Their work appears in journals such as Spine, PLoS ONE, Global Spine Journal, The Spine Journal and Nature Communications.
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.