Jin Ye
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Hepatology top 2%
- Hepatitis C virus research
Papers in
- Cell Biology 21
- Endoplasmic Reticulum Stress and Disease 11
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- Cancer, Lipids, and Metabolism 10
- Co-authors
- Yvonne Lange (13 shared papers)Theodore L. Steck (12 shared papers)Joon No Lee (10 shared papers)Russell A. DeBose‐Boyd (2 shared papers)Hua Huang (3 shared papers)Joseph L. Goldstein (5 shared papers)Michael Scott Brown (5 shared papers)Yan Chen (2 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Proceedings of the National Academy of Sciences (8 papers)Molecular Cell (6 papers)Journal of Lipid Research (6 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jin Ye
102 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 116
- Biochemistry 479
- Hepatology 473
- Cell Biology 808
- Cancer Research 563
- Molecular Biology 2.2k
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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 451 | |
| 2 | 2018 | 290 | |
| 3 | 2002 | 219 | |
| 4 | 2006 | 213 | |
| 5 | 1999 | 209 | |
| 6 | 2004 | 168 | |
| 7 | 2004 | 148 | |
| 8 | 2006 | 138 | |
| 9 | 2023 | 125 | |
| 10 | 2012 | 121 | |
| 11 | 2000 | 114 | |
| 12 | 2007 | 95 | |
| 13 | 2010 | 91 | |
| 14 | 2021 | 91 | |
| 15 | 2007 | 90 | |
| 16 | 2008 | 90 | |
| 17 | 2014 | 76 | |
| 18 | 2005 | 74 | |
| 19 | 2007 | 71 | |
| 20 | 2015 | 59 |
About Jin Ye
Jin Ye is a scholar working on Cell Biology, Cancer Research, Molecular Biology, Biochemistry and Surgery, having authored 110 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (19 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 (11 papers), Cancer, Lipids, and Metabolism (10 papers), Ferroptosis and cancer prognosis (9 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Biochemistry (479 citations), Hepatology (473 citations), Cell Biology (808 citations), Cancer Research (563 citations) and Molecular Biology (2.2k 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, Joseph L. Goldstein, Michael Scott Brown, Yan Chen, Michael Gale and Weiping Li. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Cell, Journal of Lipid Research 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.