Jin Ye
Impact in
- Hepatology top 10%
- Physiology top 10%
- Lysosomal Storage Disorders Research
Papers in
-
- Plant Toxicity and Pharmacological Properties 3
- Epidemiology 11
- Liver Disease Diagnosis and Treatment 5
- Autophagy in Disease and Therapy 4
- Co-authors
- Yvonne Lange (2 shared papers)Theodore L. Steck (2 shared papers)Mike Rigney (1 shared paper)Jianhua Zheng (4 shared papers)Xiaoli Pan (4 shared papers)Zhijun Wang (2 shared papers)Hong Jiang (1 shared paper)Ling Li (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Oncology Reports (2 papers)Journal of Biological Chemistry (2 papers)World Journal of Gastroenterology (2 papers)BMC Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Ye
63 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Hepatology 82
- Physiology 48
- Physiology 194
- Cancer Research 111
- Epidemiology 202
Countries citing papers authored by Jin Ye
This map shows the geographic impact of Jin Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ye more than expected).
Fields of papers citing papers by Jin Ye
This network shows the impact of papers produced by Jin Ye. 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 Ye. The network helps show where Jin Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Ye, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 158 | |
| 2 | 1998 | 110 | |
| 3 | 2014 | 75 | |
| 4 | 2014 | 68 | |
| 5 | 2019 | 57 | |
| 6 | 2018 | 52 | |
| 7 | 2007 | 45 | |
| 8 | 2022 | 43 | |
| 9 | 2017 | 40 | |
| 10 | 2014 | 32 | |
| 11 | 2016 | 32 | |
| 12 | 2023 | 31 | |
| 13 | 2020 | 25 | |
| 14 | 2021 | 23 | |
| 15 | 2019 | 22 | |
| 16 | 2020 | 22 | |
| 17 | 2017 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2017 | 14 | |
| 20 | 2009 | 14 |
About Jin Ye
Jin Ye is a scholar working on Molecular Biology, Epidemiology, Physiology, Oncology and Cancer Research, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Autophagy in Disease and Therapy (4 papers), Plant Toxicity and Pharmacological Properties (3 papers), Immunotherapy and Immune Responses (3 papers), Ferroptosis and cancer prognosis (3 papers), Obstructive Sleep Apnea Research (3 papers), Cancer, Lipids, and Metabolism (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hepatology (82 citations), Physiology (48 citations), Physiology (194 citations), Cancer Research (111 citations) and Epidemiology (202 citations). Jin Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yvonne Lange, Theodore L. Steck, Mike Rigney, Jianhua Zheng, Xiaoli Pan, Zhijun Wang, Hong Jiang, Ling Li, Xiaoqian Yang and Qian Li. Their work appears in journals such as Frontiers in Immunology, Oncology Reports, Journal of Biological Chemistry, World Journal of Gastroenterology and BMC Infectious Diseases.
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.