Shu‐Yu Lin
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
Papers in
-
- Ubiquitin and proteasome pathways 9
- Pharmacological Receptor Mechanisms and Effects 4
- RNA modifications and cancer 4
- Glycosylation and Glycoproteins Research 4
- Oncology 12
- Co-authors
- Chuen‐Ying Liu (7 shared papers)Kay‐Hooi Khoo (8 shared papers)Guang‐Chao Chen (4 shared papers)Ruey‐Hwa Chen (6 shared papers)Robert Birke (3 shared papers)Ronald Clark (5 shared papers)Niki Trigoni (4 shared papers)Stephen Roberts (3 shared papers)
- Journals
- Electrophoresis (4 papers)Journal of Proteome Research (4 papers)Journal of Medicinal Chemistry (4 papers)Nature Communications (3 papers)Molecular & Cellular Proteomics (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shu‐Yu Lin
85 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 157
- Biological Psychiatry 167
- Molecular Biology 1.4k
- Cancer Research 292
- Immunology 335
- Spectroscopy 234
Countries citing papers authored by Shu‐Yu Lin
This map shows the geographic impact of Shu‐Yu Lin'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 Shu‐Yu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Yu Lin more than expected).
Fields of papers citing papers by Shu‐Yu Lin
This network shows the impact of papers produced by Shu‐Yu Lin. 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 Shu‐Yu Lin. The network helps show where Shu‐Yu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu‐Yu Lin, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 232 | |
| 2 | 2020 | 164 | |
| 3 | 2005 | 153 | |
| 4 | 2014 | 151 | |
| 5 | 2011 | 134 | |
| 6 | 2014 | 132 | |
| 7 | 2010 | 128 | |
| 8 | 2015 | 121 | |
| 9 | 2003 | 110 | |
| 10 | 2009 | 95 | |
| 11 | 2019 | 89 | |
| 12 | 2021 | 61 | |
| 13 | 2013 | 57 | |
| 14 | 2015 | 52 | |
| 15 | 2022 | 50 | |
| 16 | 2015 | 48 | |
| 17 | 2014 | 44 | |
| 18 | 2000 | 39 | |
| 19 | 2002 | 31 | |
| 20 | 2019 | 30 |
About Shu‐Yu Lin
Shu‐Yu Lin is a scholar working on Molecular Biology, Oncology, Artificial Intelligence, Cell Biology and Spectroscopy, having authored 94 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Advanced Proteomics Techniques and Applications (6 papers), Autophagy in Disease and Therapy (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), RNA modifications and cancer (4 papers), Glycosylation and Glycoproteins Research (4 papers), Cellular transport and secretion (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Biological Psychiatry (167 citations), Molecular Biology (1.4k citations), Cancer Research (292 citations), Immunology (335 citations) and Spectroscopy (234 citations). Shu‐Yu Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chuen‐Ying Liu, Kay‐Hooi Khoo, Guang‐Chao Chen, Ruey‐Hwa Chen, Robert Birke, Ronald Clark, Niki Trigoni, Stephen Roberts, Andrew H.‐J. Wang and Sandro Schönborn. Their work appears in journals such as Electrophoresis, Journal of Proteome Research, Journal of Medicinal Chemistry, Nature Communications and Molecular & Cellular Proteomics.
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.