Ka Yang

1.9k citations
41 papers · 1.5k · h-index 19

Impact in

    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research
  • Neurology top 10%
    • Botulinum Toxin and Related Neurological Disorders

Papers in

    • Advanced Proteomics Techniques and Applications 7
    • Botulinum Toxin and Related Neurological Disorders 6

Ka Yang

41 papers receiving 1.4k citations

Peers

Ka Yang
Comparison fields: 5 of 76
  • Molecular Biology 733
  • Neurology 139
  • Organic Chemistry 230
  • Spectroscopy 91
  • Biotechnology 33
Replace Sushil K. Mishra with:
Sushil K. Mishra Japan
Ramalingam Rajasekaran India
Fernando Lucas Palhano Brazil
Rita P.‐Y. Chen Taiwan
Cheng Ma United States
Kathleen W. Clancy United States
Dahabada H. J. Lopes United States
Laura Domı́nguez Mexico
Bakthisaran Raman India
Jessie J. Guidry United States
Ka Yang relative to Sushil K. Mishra Japan Sushil K. Mishra's profile →
Citations per field
00.5×2×4×6.6×
Sushil K. Mishra · 1×
Citations per year

Countries citing papers authored by Ka Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ka Yang Line = papers co-authored together Ka Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021175
2 2018159
3 2019149
4 2020101
5 202074
6 196269
7 197565
8 201564
9 201964
10 202057
11 201656
12 201554
13 197542
14 197331
15 202431
16 202330
17 201928
18 198127
19 202421
20 197218

About Ka Yang

Ka Yang is a scholar working on Spectroscopy, Neurology, Organic Chemistry, Molecular Biology and Physiology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (11 papers), Advanced Proteomics Techniques and Applications (7 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Histone Deacetylase Inhibitors Research (3 papers), Organic Chemistry Synthesis Methods (3 papers), Alzheimer's disease research and treatments (2 papers), Click Chemistry and Applications (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Molecular Biology (733 citations), Neurology (139 citations), Organic Chemistry (230 citations), Spectroscopy (91 citations) and Biotechnology (33 citations). Ka Yang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Weiping Tang, Haibo Xie, Hao Wu, Hitoshi Sugiyama, Eric D. Leisten, Daniel A. Glazier, Zhongrui Zhang, Yi-Ting Wu, Hao‐Yuan Wang and Junmin Peng. Their work appears in journals such as Nature Communications, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Experimental Biology and Medicine and Journal of the American Society for Mass Spectrometry.

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.

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