Wei-guo Su
Impact in
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
- Organic Chemistry top 10%
- Synthetic Organic Chemistry Methods
- Asymmetric Synthesis and Catalysis
- Carbohydrate Chemistry and Synthesis
Papers in
-
- Carbohydrate Chemistry and Synthesis 5
- Asymmetric Synthesis and Catalysis 2
-
- Lipid metabolism and biosynthesis 3
- Eicosanoids and Hypertension Pharmacology 3
- Co-authors
- E. J. Corey (12 shared papers)Stephen G. Pyne (1 shared paper)Bryan Koci (1 shared paper)Walter A. Volberg (1 shared paper)Jun Zhou (1 shared paper)Mukund M. Mehrotra (2 shared papers)Ioannis N. Houpis (1 shared paper)Deqi Jing (4 shared papers)
- Journals
- Tetrahedron Letters (13 papers)Carbon (3 papers)Pharmacology Research & Perspectives (1 paper)Blood (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Wei-guo Su
22 papers receiving 478 citations
Peers
Comparison fields: 5 of 85
- Biochemistry 60
- Organic Chemistry 221
- Cardiology and Cardiovascular Medicine 86
- Biotechnology 31
- Pharmacology 44
Countries citing papers authored by Wei-guo Su
This map shows the geographic impact of Wei-guo 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 Wei-guo Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-guo Su more than expected).
Fields of papers citing papers by Wei-guo Su
This network shows the impact of papers produced by Wei-guo 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 Wei-guo Su. The network helps show where Wei-guo Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-guo 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 125 | |
| 2 | 1983 | 103 | |
| 3 | 1988 | 55 | |
| 4 | 1985 | 26 | |
| 5 | 1984 | 26 | |
| 6 | 1989 | 25 | |
| 7 | 1985 | 24 | |
| 8 | 1996 | 18 | |
| 9 | 1990 | 14 | |
| 10 | 1986 | 14 | |
| 11 | 1987 | 13 | |
| 12 | 2024 | 13 | |
| 13 | 1984 | 11 | |
| 14 | 1990 | 9 | |
| 15 | 1990 | 6 | |
| 16 | 2011 | 5 | |
| 17 | 1990 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 3 |
About Wei-guo Su
Wei-guo Su is a scholar working on Organic Chemistry, Biochemistry, Molecular Biology, Pharmacology and Mechanical Engineering, having authored 22 papers that have together received 505 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (5 papers), Inflammatory mediators and NSAID effects (4 papers), Lipid metabolism and biosynthesis (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Epoxy Resin Curing Processes (3 papers), Fiber-reinforced polymer composites (3 papers), Synthesis and properties of polymers (2 papers) and Asymmetric Synthesis and Catalysis (2 papers). The work is most often cited by research in Biochemistry (60 citations), Organic Chemistry (221 citations), Cardiology and Cardiovascular Medicine (86 citations), Biotechnology (31 citations) and Pharmacology (44 citations). Wei-guo Su has collaborated with scholars based in United States and China. Frequent co-authors include E. J. Corey, Stephen G. Pyne, Bryan Koci, Walter A. Volberg, Jun Zhou, Mukund M. Mehrotra, Ioannis N. Houpis, Deqi Jing, Shouchun Zhang and Xinghua Zhang. Their work appears in journals such as Tetrahedron Letters, Carbon, Pharmacology Research & Perspectives, Blood and Cancer Research.
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.