Ming-Yuan Su
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Ubiquitin and proteasome pathways 5
- Protein Degradation and Inhibitors 3
- Mitochondrial Function and Pathology 2
-
- Autophagy in Disease and Therapy 5
- Co-authors
- James H. Hurley (5 shared papers)Roberto Zoncu (2 shared papers)Simon A. Fromm (2 shared papers)Chung‐I Chang (5 shared papers)Daniel Bernklau (2 shared papers)Riccardo Trapannone (2 shared papers)Christine Abert (2 shared papers)Julia Romanov (2 shared papers)
- Journals
- Nature Communications (4 papers)Autophagy (2 papers)Nature Structural & Molecular Biology (2 papers)Structure (2 papers)Molecular Cell (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Ming-Yuan Su
18 papers receiving 588 citations
Peers
Comparison fields: 5 of 77
- Physiology 56
- Cell Biology 155
- Epidemiology 254
- Structural Biology 9
- Molecular Biology 376
Countries citing papers authored by Ming-Yuan Su
This map shows the geographic impact of Ming-Yuan Su'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 Ming-Yuan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Yuan Su more than expected).
Fields of papers citing papers by Ming-Yuan Su
This network shows the impact of papers produced by Ming-Yuan Su. 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 Ming-Yuan Su. The network helps show where Ming-Yuan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Yuan Su, 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 | 2019 | 246 | |
| 2 | 2017 | 69 | |
| 3 | 2020 | 52 | |
| 4 | 2017 | 41 | |
| 5 | 2015 | 31 | |
| 6 | 2016 | 28 | |
| 7 | 2013 | 26 | |
| 8 | 2021 | 18 | |
| 9 | 2015 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2023 | 12 | |
| 12 | 2024 | 12 | |
| 13 | 2025 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2012 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Ming-Yuan Su
Ming-Yuan Su is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 589 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Autophagy in Disease and Therapy (5 papers), Protein Degradation and Inhibitors (3 papers), Enzyme Structure and Function (3 papers), Cellular transport and secretion (3 papers), Bacterial Genetics and Biotechnology (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Physiology (56 citations), Cell Biology (155 citations), Epidemiology (254 citations), Structural Biology (9 citations) and Molecular Biology (376 citations). Ming-Yuan Su has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include James H. Hurley, Roberto Zoncu, Simon A. Fromm, Chung‐I Chang, Daniel Bernklau, Riccardo Trapannone, Christine Abert, Julia Romanov, Tobias Bock-Bierbaum and Dorotea Fracchiolla. Their work appears in journals such as Nature Communications, Autophagy, Nature Structural & Molecular Biology, Structure and Molecular Cell.
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.