Jun Yan
Impact in
- Toxicology top 0.5%
- Organoselenium and organotellurium chemistry
- Pharmacology top 1%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Cancer therapeutics and mechanisms 8
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- Synthesis and biological activity 15
- Co-authors
- Ling Huang (19 shared papers)Xingshu Li (20 shared papers)Wei Zhang (8 shared papers)Chuan‐Jun Lu (3 shared papers)Jinhui Hu (9 shared papers)Xingshu Li (5 shared papers)Yanqing Pang (10 shared papers)Hai‐Bin Luo (3 shared papers)
- Journals
- European Journal of Medicinal Chemistry (6 papers)Analytical and Bioanalytical Chemistry (5 papers)Journal of Medicinal Chemistry (5 papers)RSC Advances (4 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Yan
75 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 106
- Toxicology 286
- Pharmacology 590
- Hardware and Architecture 236
- Organic Chemistry 806
- Computational Theory and Mathematics 307
Countries citing papers authored by Jun Yan
This map shows the geographic impact of Jun Yan'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 Jun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yan more than expected).
Fields of papers citing papers by Jun Yan
This network shows the impact of papers produced by Jun Yan. 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 Jun Yan. The network helps show where Jun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yan, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 319 | |
| 2 | 2013 | 213 | |
| 3 | 2013 | 176 | |
| 4 | 2016 | 156 | |
| 5 | 2013 | 156 | |
| 6 | 2017 | 141 | |
| 7 | 2008 | 105 | |
| 8 | 2013 | 95 | |
| 9 | 2014 | 84 | |
| 10 | 2021 | 82 | |
| 11 | 2003 | 76 | |
| 12 | 2014 | 66 | |
| 13 | 2014 | 63 | |
| 14 | 2005 | 63 | |
| 15 | 2015 | 57 | |
| 16 | 2005 | 54 | |
| 17 | 2017 | 52 | |
| 18 | 2013 | 43 | |
| 19 | 2016 | 37 | |
| 20 | 2009 | 37 |
About Jun Yan
Jun Yan is a scholar working on Molecular Biology, Organic Chemistry, Hardware and Architecture, Pharmacology and Toxicology, having authored 75 papers that have together received 2.7k indexed citations. Recurring topics across this work include Synthesis and biological activity (15 papers), Parallel Computing and Optimization Techniques (12 papers), Real-Time Systems Scheduling (11 papers), Cancer therapeutics and mechanisms (8 papers), Bioactive Compounds and Antitumor Agents (7 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Hormonal and reproductive studies (6 papers) and Embedded Systems Design Techniques (6 papers). The work is most often cited by research in Toxicology (286 citations), Pharmacology (590 citations), Hardware and Architecture (236 citations), Organic Chemistry (806 citations) and Computational Theory and Mathematics (307 citations). Jun Yan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ling Huang, Xingshu Li, Wei Zhang, Chuan‐Jun Lu, Jinhui Hu, Xingshu Li, Yanqing Pang, Hai‐Bin Luo, Zonghua Luo and Baijiao An. Their work appears in journals such as European Journal of Medicinal Chemistry, Analytical and Bioanalytical Chemistry, Journal of Medicinal Chemistry, RSC Advances and Journal of Pharmaceutical and Biomedical Analysis.
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.