Dai‐Shi Su
Impact in
- Organic Chemistry top 2%
- Synthetic Organic Chemistry Methods
- Advanced Synthetic Organic Chemistry
- Asymmetric Synthesis and Catalysis
- Chemical synthesis and alkaloids
- Oncology top 5%
- Cancer Treatment and Pharmacology
Papers in
-
- Synthetic Organic Chemistry Methods 8
- Advanced Synthetic Organic Chemistry 4
- Chemical synthesis and alkaloids 3
-
- Chemical Synthesis and Analysis 7
- Co-authors
- Samuel J. Danishefsky (13 shared papers)Aaron Balog (9 shared papers)Peter Bertinato (7 shared papers)Dong‐Fang Meng (8 shared papers)Erik J. Sorensen (6 shared papers)Ted Kamenecka (3 shared papers)Ting‐Chao Chou (5 shared papers)Susan Band Horwitz (4 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Angewandte Chemie International Edition (2 papers)Proceedings of the National Academy of Sciences (2 papers)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Dai‐Shi Su
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 81
- Organic Chemistry 998
- Oncology 846
- Pharmacology 271
- Cell Biology 221
- Genetics 116
Countries citing papers authored by Dai‐Shi Su
This map shows the geographic impact of Dai‐Shi 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 Dai‐Shi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai‐Shi Su more than expected).
Fields of papers citing papers by Dai‐Shi Su
This network shows the impact of papers produced by Dai‐Shi 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 Dai‐Shi Su. The network helps show where Dai‐Shi Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai‐Shi 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 197 | |
| 2 | 1996 | 186 | |
| 3 | 1998 | 164 | |
| 4 | 1998 | 162 | |
| 5 | 1997 | 134 | |
| 6 | 1997 | 123 | |
| 7 | 1997 | 105 | |
| 8 | 1996 | 73 | |
| 9 | 2003 | 70 | |
| 10 | 1997 | 55 | |
| 11 | 1995 | 49 | |
| 12 | 2016 | 42 | |
| 13 | 2015 | 42 | |
| 14 | 1998 | 38 | |
| 15 | 2017 | 33 | |
| 16 | 1998 | 32 | |
| 17 | 1996 | 21 | |
| 18 | 2004 | 19 | |
| 19 | 2005 | 19 | |
| 20 | 2004 | 18 |
About Dai‐Shi Su
Dai‐Shi Su is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Genetics and Pharmacology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Synthetic Organic Chemistry Methods (8 papers), Chemical Synthesis and Analysis (7 papers), Microbial Natural Products and Biosynthesis (5 papers), Advanced Synthetic Organic Chemistry (4 papers), Chemical synthesis and alkaloids (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Organic Chemistry (998 citations), Oncology (846 citations), Pharmacology (271 citations), Cell Biology (221 citations) and Genetics (116 citations). Dai‐Shi Su has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Samuel J. Danishefsky, Aaron Balog, Peter Bertinato, Dong‐Fang Meng, Erik J. Sorensen, Ted Kamenecka, Ting‐Chao Chou, Susan Band Horwitz, Lifeng He and Dongfang Meng. Their work appears in journals such as Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry Letters, Angewandte Chemie International Edition, Proceedings of the National Academy of Sciences and SLAS DISCOVERY.
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.