Jin Ye
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Hepatology top 2%
- Hepatitis C virus research
Papers in
-
- Lipid Membrane Structure and Behavior 15
- Sphingolipid Metabolism and Signaling 14
- Ubiquitin and proteasome pathways 6
- Surgery 22
- Cholesterol and Lipid Metabolism 18
- Co-authors
- Yvonne Lange (13 shared papers)Theodore L. Steck (12 shared papers)Joon No Lee (10 shared papers)Russell A. DeBose‐Boyd (3 shared papers)Hua Huang (3 shared papers)Yan Chen (2 shared papers)Michael S. Brown (4 shared papers)Joseph L. Goldstein (4 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Proceedings of the National Academy of Sciences (8 papers)Journal of Lipid Research (6 papers)Molecular Cell (5 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jin Ye
98 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 115
- Biochemistry 458
- Hepatology 447
- Cell Biology 777
- Cancer Research 497
- Molecular Biology 2.0k
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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 429 | |
| 2 | 2018 | 276 | |
| 3 | 2002 | 208 | |
| 4 | 2006 | 208 | |
| 5 | 1999 | 199 | |
| 6 | 2004 | 159 | |
| 7 | 2004 | 145 | |
| 8 | 2006 | 139 | |
| 9 | 2000 | 113 | |
| 10 | 2012 | 109 | |
| 11 | 2023 | 104 | |
| 12 | 2010 | 90 | |
| 13 | 2007 | 90 | |
| 14 | 2007 | 87 | |
| 15 | 2008 | 84 | |
| 16 | 2021 | 83 | |
| 17 | 2014 | 74 | |
| 18 | 2005 | 73 | |
| 19 | 2007 | 64 | |
| 20 | 2013 | 60 |
About Jin Ye
Jin Ye is a scholar working on Molecular Biology, Surgery, Cell Biology, Cancer Research and Biochemistry, having authored 105 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (18 papers), Lipid Membrane Structure and Behavior (15 papers), Sphingolipid Metabolism and Signaling (14 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Lipid metabolism and biosynthesis (10 papers), Cancer, Lipids, and Metabolism (9 papers), Ferroptosis and cancer prognosis (7 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Biochemistry (458 citations), Hepatology (447 citations), Cell Biology (777 citations), Cancer Research (497 citations) and Molecular Biology (2.0k citations). Jin Ye has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yvonne Lange, Theodore L. Steck, Joon No Lee, Russell A. DeBose‐Boyd, Hua Huang, Yan Chen, Michael S. Brown, Joseph L. Goldstein, Michael Gale and David M. Owen. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Lipid Research, Molecular Cell and PLoS ONE.
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.