Jun Yin
Impact in
- Molecular Biology top 2%
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
- Advanced biosensing and bioanalysis techniques
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Ubiquitin and proteasome pathways 23
- Chemical Synthesis and Analysis 19
- Protein Degradation and Inhibitors 11
- Glycosylation and Glycoproteins Research 10
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- Monoclonal and Polyclonal Antibodies Research 19
- Co-authors
- Christopher T. WalshPeter G. SchultzInsha AhmadTravis S. YoungDavid E. GolanAlison J. LinFrédéric H. VaillancourtMurat Sünbül
- Journals
- ChemBioChem (8 papers)Journal of the American Chemical Society (6 papers)Biochemistry (4 papers)Proceedings of the National Academy of Sciences (4 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jun Yin
83 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 2.8k
- Radiology, Nuclear Medicine and Imaging 695
- Organic Chemistry 734
- Cell Biology 419
- Biophysics 143
Countries citing papers authored by Jun Yin
This map shows the geographic impact of Jun Yin'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 Jun Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yin more than expected).
Fields of papers citing papers by Jun Yin
This network shows the impact of papers produced by Jun Yin. 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 Jun Yin. The network helps show where Jun Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Yin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 31 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 17 | |
| 7 | 2014 | 2 | |
| 8 | 2014 | 14 | |
| 9 | 2013 | 26 | |
| 10 | 2013 | 67 | |
| 11 | 2012 | 30 | |
| 12 | 2009 | 9 | |
| 13 | 2009 | 60 | |
| 14 | 2008 | 30 | |
| 15 | 2007 | 43 | |
| 16 | 2006 | 34 | |
| 17 | 2005 | 306 | |
| 18 | 2005 | 34 | |
| 19 | 2005 | 54 | |
| 20 | 2002 | 57 |
About Jun Yin
Jun Yin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Cell Biology and Oncology, having authored 91 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (23 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Chemical Synthesis and Analysis (19 papers), Click Chemistry and Applications (15 papers), Peptidase Inhibition and Analysis (13 papers), Protein Degradation and Inhibitors (11 papers), Glycosylation and Glycoproteins Research (10 papers) and Microbial Natural Products and Biosynthesis (8 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Radiology, Nuclear Medicine and Imaging (695 citations), Organic Chemistry (734 citations), Cell Biology (419 citations) and Biophysics (143 citations). Jun Yin has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Christopher T. Walsh, Peter G. Schultz, Insha Ahmad, Travis S. Young, David E. Golan, Alison J. Lin, Frédéric H. Vaillancourt, Murat Sünbül, Zhe Zhou and Fei Liu. Their work appears in journals such as ChemBioChem, Journal of the American Chemical Society, Biochemistry, Proceedings of the National Academy of Sciences 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.