Ka Yang
Impact in
- Molecular Biology top 10%
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
-
- Protein Degradation and Inhibitors 9
- Ubiquitin and proteasome pathways 7
- Histone Deacetylase Inhibitors Research 5
- Glycosylation and Glycoproteins Research 2
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- Advanced Proteomics Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Weiping Tang (17 shared papers)Hitoshi Sugiyama (7 shared papers)Haibo Xie (6 shared papers)Hao Wu (5 shared papers)Eric D. Leisten (4 shared papers)Daniel A. Glazier (3 shared papers)Zhongrui Zhang (3 shared papers)Jin Liu (2 shared papers)
- Journals
- European Journal of Medicinal Chemistry (3 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Experimental Biology and Medicine (3 papers)Journal of the American Society for Mass Spectrometry (2 papers)Cell chemical biology (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ka Yang
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 821
- Oncology 266
- Neurology 141
- Hematology 96
- Biotechnology 74
Countries citing papers authored by Ka Yang
This map shows the geographic impact of Ka Yang'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 Ka Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka Yang more than expected).
Fields of papers citing papers by Ka Yang
This network shows the impact of papers produced by Ka Yang. 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 Ka Yang. The network helps show where Ka Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ka Yang, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 157 | |
| 2 | 2018 | 151 | |
| 3 | 2019 | 137 | |
| 4 | 2020 | 96 | |
| 5 | 2020 | 71 | |
| 6 | 1962 | 69 | |
| 7 | 1975 | 63 | |
| 8 | 2019 | 62 | |
| 9 | 2020 | 55 | |
| 10 | 2016 | 55 | |
| 11 | 2015 | 51 | |
| 12 | 2015 | 48 | |
| 13 | 1975 | 38 | |
| 14 | 1973 | 31 | |
| 15 | 1981 | 28 | |
| 16 | 2019 | 28 | |
| 17 | 2023 | 26 | |
| 18 | 1975 | 20 | |
| 19 | 2024 | 18 | |
| 20 | 1972 | 18 |
About Ka Yang
Ka Yang is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Neurology and Infectious Diseases, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (9 papers), Ubiquitin and proteasome pathways (7 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Mass Spectrometry Techniques and Applications (3 papers), Synthetic Organic Chemistry Methods (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (821 citations), Oncology (266 citations), Neurology (141 citations), Hematology (96 citations) and Biotechnology (74 citations). Ka Yang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Weiping Tang, Hitoshi Sugiyama, Haibo Xie, Hao Wu, Eric D. Leisten, Daniel A. Glazier, Zhongrui Zhang, Jin Liu, Yi-Ting Wu and Yanling Song. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Experimental Biology and Medicine, Journal of the American Society for Mass Spectrometry and Cell chemical biology.
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.