Ye Che
Impact in
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- Chemical Synthesis and Analysis
- Protein Degradation and Inhibitors
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
- Receptor Mechanisms and Signaling
- Molecular Medicine top 10%
Papers in
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- Chemical Synthesis and Analysis 13
- Protein Structure and Dynamics 4
- Protein Degradation and Inhibitors 3
- Receptor Mechanisms and Signaling 3
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- Click Chemistry and Applications 4
- Co-authors
- Garland R. Marshall (9 shared papers)Veerabahu Shanmugasundaram (6 shared papers)Bernard R. Brooks (3 shared papers)Seungil Han (4 shared papers)Thijs Beuming (1 shared paper)Woody Sherman (1 shared paper)Robert Abel (1 shared paper)Byungchan Kim (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Genes (2 papers)Biopolymers (2 papers)The AAPS Journal (2 papers)The Journal of Organic Chemistry (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ye Che
30 papers receiving 876 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 648
- Molecular Medicine 43
- Organic Chemistry 192
- Oncology 167
- Computational Theory and Mathematics 89
Countries citing papers authored by Ye Che
This map shows the geographic impact of Ye Che'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 Ye Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Che more than expected).
Fields of papers citing papers by Ye Che
This network shows the impact of papers produced by Ye Che. 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 Ye Che. The network helps show where Ye Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Che, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 113 | |
| 2 | 2020 | 83 | |
| 3 | 2020 | 69 | |
| 4 | 2021 | 62 | |
| 5 | 2006 | 58 | |
| 6 | 2005 | 55 | |
| 7 | 2019 | 54 | |
| 8 | 2005 | 53 | |
| 9 | 2018 | 51 | |
| 10 | 2014 | 46 | |
| 11 | 2012 | 43 | |
| 12 | 2004 | 43 | |
| 13 | 2007 | 30 | |
| 14 | 2007 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2019 | 22 | |
| 17 | 2014 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2021 | 9 | |
| 20 | 2007 | 6 |
About Ye Che
Ye Che is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 32 papers that have together received 898 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (13 papers), Analytical Chemistry and Chromatography (5 papers), Protein Structure and Dynamics (4 papers), Click Chemistry and Applications (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Plant Molecular Biology Research (3 papers), Protein Degradation and Inhibitors (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Molecular Biology (648 citations), Molecular Medicine (43 citations), Organic Chemistry (192 citations), Oncology (167 citations) and Computational Theory and Mathematics (89 citations). Ye Che has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Garland R. Marshall, Veerabahu Shanmugasundaram, Bernard R. Brooks, Seungil Han, Thijs Beuming, Woody Sherman, Robert Abel, Byungchan Kim, A. Gilbert and Mark C. Noe. Their work appears in journals such as Journal of Medicinal Chemistry, Genes, Biopolymers, The AAPS Journal and The Journal of Organic Chemistry.
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.