Hsin‐Yi Wu
Impact in
-
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
- Metabolomics and Mass Spectrometry Studies
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Glycosylation and Glycoproteins Research 8
- Metabolomics and Mass Spectrometry Studies 8
- Spectroscopy 13
- Advanced Proteomics Techniques and Applications 7
- Mass Spectrometry Techniques and Applications 6
- Analytical Chemistry and Chromatography 5
- Co-authors
- Pao‐Chi Liao (18 shared papers)Yu‐Ju Chen (10 shared papers)Yu‐Chang Tyan (5 shared papers)Min‐Hsiung Hon (3 shared papers)Ing‐Chi Leu (3 shared papers)Wu‐Chou Su (2 shared papers)Yi‐Ju Chen (3 shared papers)Min‐Chuan Huang (4 shared papers)
- Journals
- Analytical Chemistry (5 papers)Journal of Proteome Research (4 papers)Oncogene (3 papers)RSC Advances (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Hsin‐Yi Wu
62 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 512
- Spectroscopy 116
- Cancer Research 84
- Oncology 122
- Immunology 97
Countries citing papers authored by Hsin‐Yi Wu
This map shows the geographic impact of Hsin‐Yi Wu'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 Hsin‐Yi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Yi Wu more than expected).
Fields of papers citing papers by Hsin‐Yi Wu
This network shows the impact of papers produced by Hsin‐Yi Wu. 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 Hsin‐Yi Wu. The network helps show where Hsin‐Yi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin‐Yi Wu, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 60 | |
| 2 | 2014 | 55 | |
| 3 | 2018 | 53 | |
| 4 | 2018 | 49 | |
| 5 | 2022 | 42 | |
| 6 | 2019 | 41 | |
| 7 | 2020 | 38 | |
| 8 | 2022 | 36 | |
| 9 | 2017 | 35 | |
| 10 | 2008 | 34 | |
| 11 | 2016 | 33 | |
| 12 | 2015 | 32 | |
| 13 | 2021 | 32 | |
| 14 | 2008 | 28 | |
| 15 | 2015 | 27 | |
| 16 | 2019 | 27 | |
| 17 | 2015 | 24 | |
| 18 | 2019 | 22 | |
| 19 | 2007 | 22 | |
| 20 | 2018 | 20 |
About Hsin‐Yi Wu
Hsin‐Yi Wu is a scholar working on Molecular Biology, Spectroscopy, Oncology, Immunology and Electrical and Electronic Engineering, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Galectins and Cancer Biology (7 papers), Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (6 papers), Peptidase Inhibition and Analysis (5 papers), Analytical Chemistry and Chromatography (5 papers) and Advanced Chemical Sensor Technologies (5 papers). The work is most often cited by research in Molecular Biology (512 citations), Spectroscopy (116 citations), Cancer Research (84 citations), Oncology (122 citations) and Immunology (97 citations). Hsin‐Yi Wu has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Pao‐Chi Liao, Yu‐Ju Chen, Yu‐Chang Tyan, Min‐Hsiung Hon, Ing‐Chi Leu, Wu‐Chou Su, Yi‐Ju Chen, Min‐Chuan Huang, Kuo‐I Lin and Chih‐Wei Chang. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, Oncogene, RSC Advances and International Journal of Molecular 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.