Ye Che
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Molecular Medicine top 5%
Papers in
-
- Chemical Synthesis and Analysis 13
- Protein Kinase Regulation and GTPase Signaling 3
-
- Antibiotic Resistance in Bacteria 5
- Co-authors
- Garland R. Marshall (9 shared papers)Veerabahu Shanmugasundaram (6 shared papers)Bernard R. Brooks (3 shared papers)Seungil Han (4 shared papers)Mark C. Noe (2 shared papers)Robert Abel (1 shared paper)Woody Sherman (1 shared paper)Byungchan Kim (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (7 papers)Genes (2 papers)The Journal of Organic Chemistry (2 papers)Biopolymers (2 papers)The AAPS Journal (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ye Che
43 papers receiving 2.3k citations
Ye Che's Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 485
- Molecular Medicine 129
- Molecular Biology 1.3k
- Organic Chemistry 508
- Oncology 364
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BNT162b vaccines protect rhesus macaques from SARS-CoV-2 Hit paper breakdown → | 2021 | 543 |
| 2 | 2014 | 283 | |
| 3 | 2017 | 142 | |
| 4 | 2011 | 117 | |
| 5 | 2020 | 92 | |
| 6 | 2012 | 88 | |
| 7 | 2016 | 87 | |
| 8 | 2011 | 83 | |
| 9 | 2020 | 82 | |
| 10 | 2021 | 75 | |
| 11 | 2023 | 71 | |
| 12 | 2006 | 61 | |
| 13 | 2019 | 61 | |
| 14 | 2005 | 57 | |
| 15 | 2018 | 57 | |
| 16 | 2005 | 53 | |
| 17 | 2014 | 52 | |
| 18 | 2012 | 48 | |
| 19 | 2004 | 44 | |
| 20 | 2007 | 32 |
About Ye Che
Ye Che is a scholar working on Molecular Biology, Molecular Medicine, Organic Chemistry, Infectious Diseases and Spectroscopy, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (13 papers), Click Chemistry and Applications (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Antibiotic Resistance in Bacteria (5 papers), Analytical Chemistry and Chromatography (4 papers), Plant Molecular Biology Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Plant Stress Responses and Tolerance (3 papers). The work is most often cited by research in Infectious Diseases (485 citations), Molecular Medicine (129 citations), Molecular Biology (1.3k citations), Organic Chemistry (508 citations) and Oncology (364 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, Mark C. Noe, Robert Abel, Woody Sherman, Byungchan Kim, Adam M. Gilbert and Thijs Beuming. Their work appears in journals such as Journal of Medicinal Chemistry, Genes, The Journal of Organic Chemistry, Biopolymers and The AAPS Journal.
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.