Yunsen Li
Impact in
- Toxicology top 10%
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Galectins and Cancer Biology
Papers in
-
- Glycosylation and Glycoproteins Research 14
- Natural product bioactivities and synthesis 11
- Plant Toxicity and Pharmacological Properties 9
- Sphingolipid Metabolism and Signaling 4
- Immunology 13
- Galectins and Cancer Biology 6
- Immune Cell Function and Interaction 4
- Co-authors
- Zijun Chen (14 shared papers)Haiyan Liu (5 shared papers)Qing Xie (8 shared papers)Dapeng Zhou (8 shared papers)Yan Wu (3 shared papers)Steven B. Levery (4 shared papers)Bo Hu (2 shared papers)Lurong Zhang (2 shared papers)
- Journals
- Glycobiology (4 papers)Planta Medica (3 papers)European Journal of Pharmacology (2 papers)Biomedicine & Pharmacotherapy (2 papers)Inflammation Research (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yunsen Li
48 papers receiving 849 citations
Peers
Comparison fields: 5 of 82
- Toxicology 34
- Immunology 199
- Pharmacology 82
- Molecular Biology 569
- Cancer Research 99
Countries citing papers authored by Yunsen Li
This map shows the geographic impact of Yunsen 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 Yunsen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunsen Li more than expected).
Fields of papers citing papers by Yunsen Li
This network shows the impact of papers produced by Yunsen 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 Yunsen Li. The network helps show where Yunsen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunsen 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 109 | |
| 2 | 2017 | 59 | |
| 3 | 2007 | 52 | |
| 4 | 2017 | 48 | |
| 5 | 2009 | 42 | |
| 6 | 2012 | 35 | |
| 7 | 2011 | 34 | |
| 8 | 2020 | 32 | |
| 9 | 2013 | 31 | |
| 10 | 2015 | 26 | |
| 11 | 2013 | 26 | |
| 12 | 2004 | 25 | |
| 13 | 2020 | 22 | |
| 14 | 2004 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2012 | 19 | |
| 17 | 2004 | 19 | |
| 18 | 2010 | 18 | |
| 19 | 2004 | 18 | |
| 20 | 2018 | 17 |
About Yunsen Li
Yunsen Li is a scholar working on Molecular Biology, Immunology, Surgery, Plant Science and Cancer Research, having authored 49 papers that have together received 861 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Natural product bioactivities and synthesis (11 papers), Plant Toxicity and Pharmacological Properties (9 papers), Galectins and Cancer Biology (6 papers), Sesquiterpenes and Asteraceae Studies (5 papers), Immune Cell Function and Interaction (4 papers), Sphingolipid Metabolism and Signaling (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). The work is most often cited by research in Toxicology (34 citations), Immunology (199 citations), Pharmacology (82 citations), Molecular Biology (569 citations) and Cancer Research (99 citations). Yunsen Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zijun Chen, Haiyan Liu, Qing Xie, Dapeng Zhou, Yan Wu, Steven B. Levery, Bo Hu, Lurong Zhang, Zhengtao Wang and Lijun Wen. Their work appears in journals such as Glycobiology, Planta Medica, European Journal of Pharmacology, Biomedicine & Pharmacotherapy and Inflammation 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.