Yu Ye
Impact in
- Biological Psychiatry top 5%
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
- Protein Degradation and Inhibitors
Papers in
-
- Ubiquitin and proteasome pathways 9
- Glycosylation and Glycoproteins Research 5
- DNA Repair Mechanisms 3
- DNA and Nucleic Acid Chemistry 3
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- Autophagy in Disease and Therapy 3
- Co-authors
- David Komander (5 shared papers)Jason W. Chin (2 shared papers)Satpal Virdee (2 shared papers)Duy Nguyen (1 shared paper)Masato Akutsu (2 shared papers)David Klenerman (8 shared papers)Kay Hofmann (2 shared papers)Hartmut Scheel (2 shared papers)
- Journals
- Biochemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Affective Disorders (2 papers)Autophagy (1 paper)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Ye
54 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Biological Psychiatry 74
- Molecular Biology 1.2k
- Oncology 347
- Cell Biology 184
- Structural Biology 14
Countries citing papers authored by Yu Ye
This map shows the geographic impact of Yu 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 Yu Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Ye more than expected).
Fields of papers citing papers by Yu Ye
This network shows the impact of papers produced by Yu 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 Yu Ye. The network helps show where Yu Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 260 | |
| 2 | 2012 | 160 | |
| 3 | 2011 | 146 | |
| 4 | 2009 | 142 | |
| 5 | 2011 | 123 | |
| 6 | 2019 | 101 | |
| 7 | 2012 | 89 | |
| 8 | 2023 | 59 | |
| 9 | 2022 | 51 | |
| 10 | 2016 | 48 | |
| 11 | 2012 | 47 | |
| 12 | 2019 | 41 | |
| 13 | 2016 | 40 | |
| 14 | 2021 | 37 | |
| 15 | 2010 | 35 | |
| 16 | 2019 | 31 | |
| 17 | 2014 | 29 | |
| 18 | 2021 | 28 | |
| 19 | 2013 | 28 | |
| 20 | 2022 | 27 |
About Yu Ye
Yu Ye is a scholar working on Molecular Biology, Epidemiology, Physiology, Cell Biology and Immunology, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Glycosylation and Glycoproteins Research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Alzheimer's disease research and treatments (3 papers), DNA Repair Mechanisms (3 papers), Autophagy in Disease and Therapy (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Biological Psychiatry (74 citations), Molecular Biology (1.2k citations), Oncology (347 citations), Cell Biology (184 citations) and Structural Biology (14 citations). Yu Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David Komander, Jason W. Chin, Satpal Virdee, Duy Nguyen, Masato Akutsu, David Klenerman, Kay Hofmann, Hartmut Scheel, Keith D. Wilkinson and Radoslav I. Enchev. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Journal of Affective Disorders, Autophagy and Acta Pharmaceutica Sinica B.
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.