Su-Chen Tsai
- Molecular Biology
- Cell Biology top 5%
- Physiology top 2%
- Physiology
- Biochemistry top 10%
- Co-authors
- Martha VaughanJoel MossRonald AdamikNaoko MorinagaElisabetta MeacciJ.L. GaylorHenry M. FalesAlan M. Schultz
- Topics
- Cellular transport and secretion (6 papers)Lipid metabolism and biosynthesis (6 papers)Toxin Mechanisms and Immunotoxins (6 papers)
- Cited by
- PhysiologyCell BiologyBiochemistry
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBiochemical and Biophysical Research Communications
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Su-Chen Tsai
22 papers receiving 629 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 430
- Cell Biology 303
- Physiology 113
- Physiology 73
- Biochemistry 57
Countries citing papers authored by Su-Chen Tsai
This map shows the geographic impact of Su-Chen Tsai'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 Su-Chen Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-Chen Tsai more than expected).
Fields of papers citing papers by Su-Chen Tsai
This network shows the impact of papers produced by Su-Chen Tsai. 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 Su-Chen Tsai. The network helps show where Su-Chen Tsai may publish in the future.
Co-authorship network of co-authors of Su-Chen Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Su-Chen Tsai. A scholar is included among the top collaborators of Su-Chen Tsai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Su-Chen Tsai. Su-Chen Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 45 | |
| 3 | 22 | |
| 4 | 131 | |
| 5 | 30 | |
| 6 | 136 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | Structural and functional characterization of ADP-ribosylation factors, 20 kDa guanine nucleotide-binding proteins that activate cholera toxin. | 0 |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 81 | |
| 13 | 14 | |
| 14 | 8 | |
| 15 | 33 | |
| 16 | 43 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 14 | |
| 20 | 14 |
About Su-Chen Tsai
Su-Chen Tsai is a scholar working on Physiology, Biochemistry and Cell Biology, having authored 23 papers that have together received 661 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Lipid metabolism and biosynthesis (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). The work is most often cited by research in Physiology (113 citations), Cell Biology (303 citations) and Biochemistry (57 citations). Su-Chen Tsai has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Martha Vaughan, Joel Moss, Ronald Adamik, Naoko Morinaga, Elisabetta Meacci, J.L. Gaylor, Henry M. Fales, Alan M. Schultz, Hsiang‐Fu Kung and Stephen Oroszlan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.