Yingjun Li
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Atmospheric Science top 10%
- Tree-ring climate responses
Papers in
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- Cancer therapeutics and mechanisms 6
- Protein Tyrosine Phosphatases 5
- Melanoma and MAPK Pathways 4
- PI3K/AKT/mTOR signaling in cancer 4
- Oncology 10
- Co-authors
- Dan R. Halm (2 shared papers)Xiaohua Gou (5 shared papers)Kun Chen (4 shared papers)Keyan Fang (4 shared papers)Ding Ye (2 shared papers)Fahu Chen (3 shared papers)Zhenhua Ye (2 shared papers)Jianbing Wang (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (6 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)European Journal of Medicinal Chemistry (3 papers)Acta Pharmaceutica Sinica B (2 papers)Bioorganic Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Yingjun Li
55 papers receiving 960 citations
Peers
Comparison fields: 5 of 120
- Cancer Research 132
- Atmospheric Science 142
- Process Chemistry and Technology 19
- Global and Planetary Change 136
- Organic Chemistry 168
Countries citing papers authored by Yingjun Li
This map shows the geographic impact of Yingjun 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 Yingjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjun Li more than expected).
Fields of papers citing papers by Yingjun Li
This network shows the impact of papers produced by Yingjun 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 Yingjun Li. The network helps show where Yingjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingjun 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 114 | |
| 2 | 2011 | 105 | |
| 3 | 2021 | 103 | |
| 4 | 2014 | 60 | |
| 5 | 2002 | 39 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2012 | 33 | |
| 9 | 2015 | 31 | |
| 10 | 2018 | 28 | |
| 11 | 2023 | 24 | |
| 12 | 2014 | 24 | |
| 13 | 2014 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2017 | 20 | |
| 16 | 2015 | 20 | |
| 17 | 2019 | 20 | |
| 18 | 2003 | 20 | |
| 19 | 2022 | 18 | |
| 20 | 2012 | 17 |
About Yingjun Li
Yingjun Li is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Epidemiology and Cancer Research, having authored 58 papers that have together received 971 indexed citations. Recurring topics across this work include Synthesis and biological activity (7 papers), Cancer therapeutics and mechanisms (6 papers), Computational Drug Discovery Methods (5 papers), Tree-ring climate responses (5 papers), Protein Tyrosine Phosphatases (5 papers), Plant Water Relations and Carbon Dynamics (5 papers), Melanoma and MAPK Pathways (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Cancer Research (132 citations), Atmospheric Science (142 citations), Process Chemistry and Technology (19 citations), Global and Planetary Change (136 citations) and Organic Chemistry (168 citations). Yingjun Li has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Dan R. Halm, Xiaohua Gou, Kun Chen, Keyan Fang, Ding Ye, Fahu Chen, Zhenhua Ye, Jianbing Wang, Mingjuan Jin and Jinbao Li. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, European Journal of Medicinal Chemistry, Acta Pharmaceutica Sinica B and Bioorganic Chemistry.
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.