Ge Jin
Impact in
- Biological Psychiatry top 5%
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
-
- RNA Research and Splicing 5
- Natural product bioactivities and synthesis 5
- Physiology 13
- Alzheimer's disease research and treatments 8
- Co-authors
- Xuefei Ji (8 shared papers)Libo Zou (8 shared papers)Tianyan Chi (8 shared papers)Thomas R. Broker (7 shared papers)Michael G. Katze (1 shared paper)Ganes C. Sen (1 shared paper)Roger E. Bumgarner (1 shared paper)Gary Geiss (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Journal of Virology (3 papers)PLoS ONE (2 papers)Neurochemical Research (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ge Jin
93 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 135
- Biological Psychiatry 65
- Immunology 466
- Neurology 106
- Molecular Biology 673
- Renewable Energy, Sustainability and the Environment 165
Countries citing papers authored by Ge Jin
This map shows the geographic impact of Ge Jin'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 Ge Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Jin more than expected).
Fields of papers citing papers by Ge Jin
This network shows the impact of papers produced by Ge Jin. 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 Ge Jin. The network helps show where Ge Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Jin, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 307 | |
| 2 | 2001 | 184 | |
| 3 | 2022 | 124 | |
| 4 | 2020 | 79 | |
| 5 | 2023 | 67 | |
| 6 | 2014 | 64 | |
| 7 | 2014 | 60 | |
| 8 | 2016 | 59 | |
| 9 | 2004 | 58 | |
| 10 | 2000 | 55 | |
| 11 | 2013 | 51 | |
| 12 | 2004 | 51 | |
| 13 | 2013 | 44 | |
| 14 | 1996 | 41 | |
| 15 | 2014 | 39 | |
| 16 | 2000 | 38 | |
| 17 | 2016 | 38 | |
| 18 | 2018 | 38 | |
| 19 | 2022 | 31 | |
| 20 | 2022 | 29 |
About Ge Jin
Ge Jin is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Cervical Cancer and HPV Research (7 papers), RNA Research and Splicing (5 papers), Natural product bioactivities and synthesis (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Cancer-related Molecular Pathways (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Biological Psychiatry (65 citations), Immunology (466 citations), Neurology (106 citations), Molecular Biology (673 citations) and Renewable Energy, Sustainability and the Environment (165 citations). Ge Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xuefei Ji, Libo Zou, Tianyan Chi, Thomas R. Broker, Michael G. Katze, Ganes C. Sen, Roger E. Bumgarner, Gary Geiss, Louise T. Chow and Shuyuan Liu. Their work appears in journals such as Journal of Clinical Oncology, Journal of Virology, PLoS ONE, Neurochemical Research and Medicine.
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.