Clinton Yu
Impact in
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Cell Biology top 5%
- Biotin and Related Studies
Papers in
-
- Ubiquitin and proteasome pathways 15
- Protein Degradation and Inhibitors 3
- Fungal and yeast genetics research 3
- Cell Biology 17
- Biotin and Related Studies 9
- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Lan Huang (50 shared papers)Scott D. Rychnovsky (17 shared papers)Xiaorong Wang (9 shared papers)Eric J. Novitsky (7 shared papers)Alexander S. Huszagh (5 shared papers)Robyn M. Kaake (6 shared papers)Anthony M. Burke (3 shared papers)Athit Kao (4 shared papers)
- Journals
- Analytical Chemistry (10 papers)Molecular & Cellular Proteomics (6 papers)Nature Communications (4 papers)Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Clinton Yu
49 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Spectroscopy 643
- Cell Biology 316
- Molecular Biology 982
- Aging 19
- Structural Biology 8
Countries citing papers authored by Clinton Yu
This map shows the geographic impact of Clinton Yu'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 Clinton Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clinton Yu more than expected).
Fields of papers citing papers by Clinton Yu
This network shows the impact of papers produced by Clinton Yu. 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 Clinton Yu. The network helps show where Clinton Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Clinton Yu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 257 | |
| 2 | 2014 | 154 | |
| 3 | 2021 | 102 | |
| 4 | 2017 | 77 | |
| 5 | 2016 | 57 | |
| 6 | 2016 | 54 | |
| 7 | 2020 | 50 | |
| 8 | 2015 | 44 | |
| 9 | 2022 | 43 | |
| 10 | 2015 | 37 | |
| 11 | 2014 | 36 | |
| 12 | 2018 | 35 | |
| 13 | 2023 | 29 | |
| 14 | 2016 | 29 | |
| 15 | 2021 | 24 | |
| 16 | 2017 | 24 | |
| 17 | 2018 | 23 | |
| 18 | 2022 | 23 | |
| 19 | 2019 | 19 | |
| 20 | 2021 | 19 |
About Clinton Yu
Clinton Yu is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Epidemiology and Oncology, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (17 papers), Ubiquitin and proteasome pathways (15 papers), Mass Spectrometry Techniques and Applications (11 papers), Biotin and Related Studies (9 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Autophagy in Disease and Therapy (5 papers), Protein Degradation and Inhibitors (3 papers) and Fungal and yeast genetics research (3 papers). The work is most often cited by research in Spectroscopy (643 citations), Cell Biology (316 citations), Molecular Biology (982 citations), Aging (19 citations) and Structural Biology (8 citations). Clinton Yu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Lan Huang, Scott D. Rychnovsky, Xiaorong Wang, Eric J. Novitsky, Alexander S. Huszagh, Robyn M. Kaake, Anthony M. Burke, Athit Kao, Craig Gutierrez and Wynne V. Kandur. Their work appears in journals such as Analytical Chemistry, Molecular & Cellular Proteomics, Nature Communications, Molecular Cell and Proceedings of the National Academy of Sciences.
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.