Jin Ge
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 4
- Hepatology top 5%
- Liver Disease and Transplantation 21
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments 4
- Geriatrics and Gerontology top 10%
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- Organ Transplantation Techniques and Outcomes 18
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- Liver Disease Diagnosis and Treatment 15
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- Machine Learning in Healthcare 8
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- COVID-19 Clinical Research Studies 5
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- Organ Donation and Transplantation 3
- Co-authors
- Jennifer C. LaiMark J. PletcherJeremy HarperChristopher G. ChuteMelissa HaendelJohn C. BucuvalasRichard GilroyMichael Li
- Journals
- Hepatology (10 papers)Hepatology Communications (5 papers)American Journal of Transplantation (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jin Ge
59 papers receiving 730 citations
Peers
Comparison fields: 5 of 128
- Health Informatics 90
- Hepatology 250
- Transplantation 37
- Geriatrics and Gerontology 35
- Health Information Management 32
Countries citing papers authored by Jin Ge
This map shows the geographic impact of Jin Ge'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 Jin Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ge more than expected).
Fields of papers citing papers by Jin Ge
This network shows the impact of papers produced by Jin Ge. 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 Jin Ge. The network helps show where Jin Ge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 10 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 69 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 39 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 26 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 30 | |
| 17 | 2021 | 29 | |
| 18 | 2021 | 0 | |
| 19 | Distributed Access Control Scheme Based on Controlled Object in the Internet of Things | 2012 | 1 |
| 20 | The study on construction method of pipe-roofing tunel in saturated soft soil | 2004 | 1 |
About Jin Ge
Jin Ge is a scholar working on Health Informatics, Hepatology, Transplantation, General Engineering and Health Information Management, having authored 73 papers that have together received 747 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (21 papers), Organ Transplantation Techniques and Outcomes (18 papers), Liver Disease Diagnosis and Treatment (15 papers), Machine Learning in Healthcare (8 papers), COVID-19 Clinical Research Studies (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Organ Donation and Transplantation (3 papers). The work is most often cited by research in Health Informatics (90 citations), Hepatology (250 citations), Transplantation (37 citations), Geriatrics and Gerontology (35 citations) and Health Information Management (32 citations). Jin Ge has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jennifer C. Lai, Mark J. Pletcher, Jeremy Harper, Christopher G. Chute, Melissa Haendel, John C. Bucuvalas, Richard Gilroy, Michael Li, Joseph F. Owens and Allison J. Kwong. Their work appears in journals such as Hepatology, Hepatology Communications, American Journal of Transplantation, The American Journal of Gastroenterology and Gastroenterology.
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.