De Run Li
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Asymmetric Synthesis and Catalysis 6
- Synthetic Organic Chemistry Methods 5
- Cyclopropane Reaction Mechanisms 2
-
- Natural product bioactivities and synthesis 2
- Co-authors
- John R. Falck (6 shared papers)Noelle S. Williams (1 shared paper)Jason F. Huntley (1 shared paper)Michael G. Roth (1 shared paper)Cristiano G. Moreira (1 shared paper)Matthew K. Waldor (1 shared paper)Shuguang Wei (1 shared paper)Jennifer M. Ritchie (1 shared paper)
- Journals
- Tetrahedron Letters (5 papers)Organic Letters (2 papers)Synlett (1 paper)Chemical Communications (1 paper)Synthesis (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
De Run Li
15 papers receiving 672 citations
Peers
Comparison fields: 5 of 66
- Endocrinology 145
- Molecular Medicine 82
- Organic Chemistry 251
- Microbiology 41
- Infectious Diseases 102
Countries citing papers authored by De Run Li
This map shows the geographic impact of De Run Li'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 De Run Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Run Li more than expected).
Fields of papers citing papers by De Run Li
This network shows the impact of papers produced by De Run Li. 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 De Run Li. The network helps show where De Run Li may publish in the future.
Co-authors
The 25 scholars most cited alongside De Run Li, 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 | 2008 | 410 | |
| 2 | 2007 | 132 | |
| 3 | 2010 | 39 | |
| 4 | 2006 | 21 | |
| 5 | 2003 | 15 | |
| 6 | 2002 | 14 | |
| 7 | 2004 | 14 | |
| 8 | 2003 | 13 | |
| 9 | 2007 | 9 | |
| 10 | 2001 | 7 | |
| 11 | 2003 | 4 | |
| 12 | 2006 | 3 | |
| 13 | 2001 | 2 | |
| 14 | 2003 | 2 | |
| 15 | 2023 | 1 |
About De Run Li
De Run Li is a scholar working on Organic Chemistry, Molecular Biology, Cancer Research, Inorganic Chemistry and Pharmaceutical Science, having authored 15 papers that have together received 686 indexed citations. Recurring topics across this work include Asymmetric Synthesis and Catalysis (6 papers), Synthetic Organic Chemistry Methods (5 papers), Sesquiterpenes and Asteraceae Studies (4 papers), Asymmetric Hydrogenation and Catalysis (3 papers), Cyclopropane Reaction Mechanisms (2 papers), Fluorine in Organic Chemistry (2 papers), Marine Sponges and Natural Products (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Endocrinology (145 citations), Molecular Medicine (82 citations), Organic Chemistry (251 citations), Microbiology (41 citations) and Infectious Diseases (102 citations). De Run Li has collaborated with scholars based in China, United States and France. Frequent co-authors include John R. Falck, Noelle S. Williams, Jason F. Huntley, Michael G. Roth, Cristiano G. Moreira, Matthew K. Waldor, Shuguang Wei, Jennifer M. Ritchie, Nicola C. Reading and David T. Hughes. Their work appears in journals such as Tetrahedron Letters, Organic Letters, Synlett, Chemical Communications and Synthesis.
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.