Eric Geng
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
- Surgery 10
- Cervical and Thoracic Myelopathy 5
- Orthopedic Surgery and Rehabilitation 1
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- Digital Imaging in Medicine 5
- Clinical practice guidelines implementation 3
- Co-authors
- Samuel K. Cho (22 shared papers)Jun Kim (19 shared papers)Brian Cho (9 shared papers)Varun Arvind (10 shared papers)Kimberly R. Urban (2 shared papers)Seema Bhatnagar (2 shared papers)J Schwartz (5 shared papers)Justin E. Tang (9 shared papers)
- Journals
- Global Spine Journal (5 papers)The Spine Journal (3 papers)Neurospine (2 papers)Clinical Spine Surgery A Spine Publication (2 papers)World Neurosurgery (2 papers)
- Partner nations
- United StatesJapan
In The Last Decade
Eric Geng
22 papers receiving 272 citations
Peers
Comparison fields: 5 of 60
- Health Informatics 66
- Health Information Management 19
- Behavioral Neuroscience 13
- Endocrine and Autonomic Systems 12
- Surgery 70
Countries citing papers authored by Eric Geng
This map shows the geographic impact of Eric Geng'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 Eric Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Geng more than expected).
Fields of papers citing papers by Eric Geng
This network shows the impact of papers produced by Eric Geng. 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 Eric Geng. The network helps show where Eric Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Geng, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2022 | 36 | |
| 3 | 2019 | 32 | |
| 4 | 2019 | 20 | |
| 5 | 2023 | 19 | |
| 6 | 2019 | 18 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About Eric Geng
Eric Geng is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Biomedical Engineering, Health Informatics and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 272 indexed citations. Recurring topics across this work include Digital Imaging in Medicine (5 papers), Cervical and Thoracic Myelopathy (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Clinical practice guidelines implementation (3 papers), Anatomy and Medical Technology (2 papers), Medical Imaging and Analysis (2 papers), Artificial Intelligence in Healthcare (1 paper) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Health Informatics (66 citations), Health Information Management (19 citations), Behavioral Neuroscience (13 citations), Endocrine and Autonomic Systems (12 citations) and Surgery (70 citations). Eric Geng has collaborated with scholars based in United States and Japan. Frequent co-authors include Samuel K. Cho, Jun Kim, Brian Cho, Varun Arvind, Kimberly R. Urban, Seema Bhatnagar, J Schwartz, Justin E. Tang, Bashar Zaidat and Rita J. Valentino. Their work appears in journals such as Global Spine Journal, The Spine Journal, Neurospine, Clinical Spine Surgery A Spine Publication and World Neurosurgery.
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.