Ming-Tsan Su
Impact in
- Aging top 10%
-
- Genetic Neurodegenerative Diseases
- Neurobiology and Insect Physiology Research
Papers in
-
- Genetic Neurodegenerative Diseases 7
- Neurobiology and Insect Physiology Research 4
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- Mitochondrial Function and Pathology 5
- Heat shock proteins research 2
- Co-authors
- Rolf Bodmer (4 shared papers)Guey‐Jen Lee‐Chen (13 shared papers)James C. Smith (1 shared paper)Betty S. Baker (1 shared paper)Danny Huylebroeck (1 shared paper)Przemko Tylżanowski (1 shared paper)Harry J. Kraft (1 shared paper)Kristin Verschueren (1 shared paper)
- Journals
- Brain Research (2 papers)BioTechniques (2 papers)PLoS ONE (2 papers)Journal of Biomedical Optics (2 papers)Psychopharmacology (2 papers)
- Partner nations
- TaiwanUnited StatesBelgium
In The Last Decade
Ming-Tsan Su
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Aging 29
- Cellular and Molecular Neuroscience 257
- Molecular Biology 618
- Biological Psychiatry 18
- Developmental Neuroscience 27
Countries citing papers authored by Ming-Tsan Su
This map shows the geographic impact of Ming-Tsan 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-Tsan 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-Tsan Su more than expected).
Fields of papers citing papers by Ming-Tsan Su
This network shows the impact of papers produced by Ming-Tsan 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-Tsan Su. The network helps show where Ming-Tsan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Tsan 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 434 | |
| 2 | 1999 | 77 | |
| 3 | 2012 | 67 | |
| 4 | 2008 | 43 | |
| 5 | 2003 | 40 | |
| 6 | 1998 | 39 | |
| 7 | 2009 | 37 | |
| 8 | 2010 | 31 | |
| 9 | 2016 | 30 | |
| 10 | 2014 | 29 | |
| 11 | 1999 | 20 | |
| 12 | 2008 | 20 | |
| 13 | 2018 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2014 | 18 | |
| 16 | 2013 | 18 | |
| 17 | 2009 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2016 | 15 |
About Ming-Tsan Su
Ming-Tsan Su is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Biophysics, Computational Theory and Mathematics and Physiology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (5 papers), Neurobiology and Insect Physiology Research (4 papers), Computational Drug Discovery Methods (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Alzheimer's disease research and treatments (3 papers), Heat shock proteins research (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Aging (29 citations), Cellular and Molecular Neuroscience (257 citations), Molecular Biology (618 citations), Biological Psychiatry (18 citations) and Developmental Neuroscience (27 citations). Ming-Tsan Su has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Rolf Bodmer, Guey‐Jen Lee‐Chen, James C. Smith, Betty S. Baker, Danny Huylebroeck, Przemko Tylżanowski, Harry J. Kraft, Kristin Verschueren, Clara Collart and Luc Nelles. Their work appears in journals such as Brain Research, BioTechniques, PLoS ONE, Journal of Biomedical Optics and Psychopharmacology.
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.