Lingfeng Chen

4.2k citations
132 papers · 3.3k · h-index 31

Impact in

Papers in

    • Fibroblast Growth Factor Research 10
    • Protein Tyrosine Phosphatases 7
    • PI3K/AKT/mTOR signaling in cancer 5
    • Immune Response and Inflammation 8

Lingfeng Chen

121 papers receiving 3.2k citations

Peers

Lingfeng Chen
Comparison fields: 5 of 165
  • Cell Biology 437
  • Cancer Research 306
  • Molecular Biology 1.3k
  • Molecular Medicine 89
  • Immunology 353
Replace Kevin A. Janes with:
Kevin A. Janes United States
Liqing Chen China
Adam I. Marcus United States
Yimin Wang China
Stephen L. Abrams United States
Bin Qu China
Marc Ferrer United States
Jaime Prilusky Israel
James R. Johnson United States
Kevin Dzobo South Africa
Lingfeng Chen relative to Kevin A. Janes United States Kevin A. Janes's profile →
Citations per field
00.5×3.2×
Kevin A. Janes · 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 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016248
2 2007165
3 2018150
4 2003139
5 2000125
6 2017114
7 2016109
8 2016105
9 2020101
10 201095
11 201885
12 202368
13 201667
14 201861
15 201459
16 202257
17 201657
18 202253
19 202151
20 201851

About Lingfeng Chen

Lingfeng Chen is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 132 papers that have together received 3.3k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (10 papers), Organic Electronics and Photovoltaics (9 papers), Immune Response and Inflammation (8 papers), Cellular Mechanics and Interactions (8 papers), Conducting polymers and applications (7 papers), Protein Tyrosine Phosphatases (7 papers), Organic Light-Emitting Diodes Research (7 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Cell Biology (437 citations), Cancer Research (306 citations), Molecular Biology (1.3k citations), Molecular Medicine (89 citations) and Immunology (353 citations). Lingfeng Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guang Liang, Lulu Zheng, Zhiguo Liu, Guang Liang, Doan B. Hoang, Miho Iijima, Peter N. Devreotes, Weitao Fu, Yi Elaine Huang and Feng Chen. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Organic Chemistry Frontiers, 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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