Ge Jin
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Pathology and Forensic Medicine top 10%
- Tea Polyphenols and Effects
Papers in
-
- Tea Polyphenols and Effects 6
- Oncology 4
- Polyomavirus and related diseases 4
- Co-authors
- Wei‐Wei Deng (3 shared papers)Yujie Wang (2 shared papers)Luqing Li (2 shared papers)Jingming Ning (3 shared papers)Aron E. Lukacher (5 shared papers)Zhengzhu Zhang (1 shared paper)Chuancai Liu (2 shared papers)Shanshan Shen (1 shared paper)
- Journals
- LWT (3 papers)Information Sciences (2 papers)Food Chemistry (2 papers)PLoS Pathogens (2 papers)Frontiers in Pediatrics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ge Jin
27 papers receiving 390 citations
Peers
Comparison fields: 5 of 107
- Analytical Chemistry 115
- Pathology and Forensic Medicine 115
- Biochemistry 29
- Biophysics 23
- Food Science 70
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 79 | |
| 2 | 2021 | 58 | |
| 3 | 2023 | 30 | |
| 4 | 2017 | 27 | |
| 5 | 2021 | 26 | |
| 6 | 2022 | 22 | |
| 7 | 2017 | 20 | |
| 8 | 2014 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 9 | |
| 15 | Safety Training Enhancing Outcomes Through Virtual Environments | 2015 | 8 |
| 16 | 2020 | 8 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2009 | 3 |
About Ge Jin
Ge Jin is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 28 papers that have together received 398 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (6 papers), Polyomavirus and related diseases (4 papers), Virtual Reality Applications and Impacts (3 papers), Full-Duplex Wireless Communications (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Immune Cell Function and Interaction (2 papers), Educational Games and Gamification (2 papers) and Phytochemicals and Antioxidant Activities (2 papers). The work is most often cited by research in Analytical Chemistry (115 citations), Pathology and Forensic Medicine (115 citations), Biochemistry (29 citations), Biophysics (23 citations) and Food Science (70 citations). Ge Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wei‐Wei Deng, Yujie Wang, Luqing Li, Jingming Ning, Aron E. Lukacher, Zhengzhu Zhang, Chuancai Liu, Shanshan Shen, Saumya Maru and Jingming Ning. Their work appears in journals such as LWT, Information Sciences, Food Chemistry, PLoS Pathogens and Frontiers in Pediatrics.
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.