Yingjun Li

1.4k citations
60 papers · 995 · h-index 19

Impact in

Papers in

    • Cancer therapeutics and mechanisms 7
    • Protein Tyrosine Phosphatases 5
    • Melanoma and MAPK Pathways 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • Synthesis and biological activity 7

Yingjun Li

56 papers receiving 984 citations

Peers

Yingjun Li
Comparison fields: 5 of 115
  • Cancer Research 116
  • Atmospheric Science 142
  • Process Chemistry and Technology 19
  • Global and Planetary Change 136
  • Organic Chemistry 169
Replace Yu Qiao with:
Yu Qiao China
Zhanggui Wang China
Alexander Kraus Germany
Vivek Panwar India
David J. Hirst United Kingdom
Rebecca Mackenzie United States
Elisa Romeo Italy
K. C. Fertuck United States
Qiufeng Liu China
Yingjun Li relative to Yu Qiao China Yu Qiao's profile →
Citations per field
00.5×10×15×20.3×
Yu Qiao · 1×
Citations per year

Countries citing papers authored by Yingjun Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yingjun Li Line = papers co-authored together Yingjun Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 2021107
3 2011107
4 201460
5 200239
6 201936
7 201534
8 201233
9 201932
10 201827
11 202324
12 201424
13 201423
14 201722
15 200321
16 201921
17 201720
18 201520
19 202218
20 201217

About Yingjun Li

Yingjun Li is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Computational Theory and Mathematics and Atmospheric Science, having authored 60 papers that have together received 995 indexed citations. Recurring topics across this work include Synthesis and biological activity (7 papers), Cancer therapeutics and mechanisms (7 papers), Tree-ring climate responses (5 papers), Protein Tyrosine Phosphatases (5 papers), Plant Water Relations and Carbon Dynamics (5 papers), Computational Drug Discovery Methods (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 (116 citations), Atmospheric Science (142 citations), Process Chemistry and Technology (19 citations), Global and Planetary Change (136 citations) and Organic Chemistry (169 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 ACS Medicinal Chemistry Letters.

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.

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