An‐Suei Yang
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Glycosylation and Glycoproteins Research
Papers in
-
- Protein Structure and Dynamics 30
- Glycosylation and Glycoproteins Research 12
- RNA and protein synthesis mechanisms 11
- Machine Learning in Bioinformatics 8
-
- Monoclonal and Polyclonal Antibodies Research 19
- Co-authors
- Barry HonigKim A. SharpHung‐Pin PengM. R. GunnerRosemary V. SampognaKeng‐Chang TsaiJhih-Wei JianQian Li
- Journals
- Journal of Molecular Biology (10 papers)Scientific Reports (8 papers)Bioinformatics (6 papers)Journal of Biological Chemistry (6 papers)PLoS ONE (6 papers)
- Partner nations
- TaiwanUnited StatesCzechia
In The Last Decade
An‐Suei Yang
86 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 3.7k
- Physical and Theoretical Chemistry 240
- Spectroscopy 400
- Materials Chemistry 1.1k
- Computational Theory and Mathematics 348
Countries citing papers authored by An‐Suei Yang
This map shows the geographic impact of An‐Suei 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 An‐Suei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An‐Suei Yang more than expected).
Fields of papers citing papers by An‐Suei Yang
This network shows the impact of papers produced by An‐Suei 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 An‐Suei Yang. The network helps show where An‐Suei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside An‐Suei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 27 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 8 | |
| 11 | 2019 | 50 | |
| 12 | 2018 | 14 | |
| 13 | 2018 | 10 | |
| 14 | 2016 | 17 | |
| 15 | 2013 | 2 | |
| 16 | 2011 | 58 | |
| 17 | 2010 | 1 | |
| 18 | 2001 | 39 | |
| 19 | 2000 | 81 | |
| 20 | 1993 | 424 |
About An‐Suei Yang
An‐Suei Yang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics, Epidemiology and Cancer Research, having authored 88 papers that have together received 5.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (30 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Glycosylation and Glycoproteins Research (12 papers), RNA and protein synthesis mechanisms (11 papers), Enzyme Structure and Function (10 papers), Spectroscopy and Quantum Chemical Studies (9 papers), Influenza Virus Research Studies (8 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Physical and Theoretical Chemistry (240 citations), Spectroscopy (400 citations), Materials Chemistry (1.1k citations) and Computational Theory and Mathematics (348 citations). An‐Suei Yang has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Barry Honig, Kim A. Sharp, Hung‐Pin Peng, M. R. Gunner, Rosemary V. Sampogna, Keng‐Chang Tsai, Jhih-Wei Jian, Qian Li, Chi‐Huey Wong and Yih‐Shyun E. Cheng. Their work appears in journals such as Journal of Molecular Biology, Scientific Reports, Bioinformatics, Journal of Biological Chemistry 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.