Lingfeng Chen

4.5k citations
137 papers · 3.5k · h-index 31

Impact in

Papers in

    • Synthesis and biological activity 7
    • Fibroblast Growth Factor Research 8
    • Protein Degradation and Inhibitors 5
    • Protein Tyrosine Phosphatases 5

Lingfeng Chen

128 papers receiving 3.5k citations

Peers

Lingfeng Chen
Comparison fields: 5 of 143
  • Cell Biology 323
  • Molecular Medicine 104
  • Drug Discovery 4
  • Molecular Biology 804
  • Pulmonary and Respiratory Medicine 371
Replace Xiangyu Zhang with:
Xiangyu Zhang China
Mingyue Zheng China
Xian Li Jiang China
Hiroshi Koga Japan
Shiladitya Sengupta United States
Zhongyang Liu China
Christoph Meyer Germany
Andrew M. Stern United States
Shengyong Yang China
Kevin A. Janes United States
Lingfeng Chen relative to Xiangyu Zhang China Xiangyu Zhang's profile →
Citations per field
00.5×2×3×4.2×
Xiangyu Zhang · 1×
Citations per year

Countries citing papers authored by Lingfeng Chen

Since Specialization
Citations

This map shows the geographic impact of Lingfeng Chen'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 Lingfeng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingfeng Chen more than expected).

Fields of papers citing papers by Lingfeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingfeng Chen. 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 Lingfeng Chen. The network helps show where Lingfeng Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Lingfeng Chen, 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 Lingfeng Chen Line = papers co-authored together Lingfeng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016262
2 2007172
3 2018167
4 2003141
5 2000134
6 2017128
7 2010119
8 2016117
9 2020116
10 202393
11 201888
12 202272
13 201670
14 201867
15 201461
16 201661
17 202157
18 202257
19 201956
20 201855

About Lingfeng Chen

Lingfeng Chen is a scholar working on Organic Chemistry, Molecular Biology, Computational Theory and Mathematics, Molecular Medicine and Immunology, having authored 137 papers that have together received 3.5k indexed citations. Recurring topics across this work include Organic Light-Emitting Diodes Research (8 papers), Computational Drug Discovery Methods (8 papers), Fibroblast Growth Factor Research (8 papers), Immune Response and Inflammation (7 papers), Synthesis and biological activity (7 papers), Protein Degradation and Inhibitors (5 papers), Organic Electronics and Photovoltaics (5 papers) and Protein Tyrosine Phosphatases (5 papers). The work is most often cited by research in Cell Biology (323 citations), Molecular Medicine (104 citations), Drug Discovery (4 citations), Molecular Biology (804 citations) and Pulmonary and Respiratory Medicine (371 citations). Lingfeng Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guang Liang, Lulu Zheng, Doan Bang Hoang, Zhiguo Liu, Guang Liang, Peter N. Devreotes, Miho Iijima, Weitao Fu, Yi Elaine Huang and Ziheng Zhang. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Frontiers in Oncology, ACS Sustainable Chemistry & Engineering and Frontiers in Pharmacology.

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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