Lin‐Feng Chen

11.3k citations
100 papers · 9.2k indexed · 3 hit papers · h-index 40

Impact in

Papers in

    • NF-κB Signaling Pathways 23
    • Immune Response and Inflammation 11
    • Immune Cell Function and Interaction 10

Lin‐Feng Chen

97 papers receiving 9.1k citations

Hit Papers

SIRT1 Protects against Microglia-dependent Amyloid-β Toxicity through Inhibiting NF-κB Signaling 2005 · 634 citations
63420012026200920172505007501000

Peers

Lin‐Feng Chen
Comparison fields: 5 of 129
  • Virology 801
  • Geriatrics and Gerontology 640
  • Cancer Research 2.2k
  • Immunology 2.3k
  • Molecular Biology 5.1k
Replace F. Xiao‐Feng Qin with:
F. Xiao‐Feng Qin China
Anthony Rongvaux United States
Fernando Macián United States
Chih‐Hao Chang United States
Claus Scheidereit Germany
Takeshi Tokuhisa Japan
Geir Bjørkøy Norway
Didier Métivier France
Jörn Dengjel Germany
Amer A. Beg United States
Lin‐Feng Chen relative to F. Xiao‐Feng Qin China F. Xiao‐Feng Qin's profile →
Citations per field
00.5×3.8×
F. Xiao‐Feng Qin · 1×
Citations per year

Countries citing papers authored by Lin‐Feng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐Feng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20243
4 20244
5 20243
6 202312
7 20230
8 202017
9 201767
10 201760
11 20151
12 2014111
13 2012379
14 201245
15 200938
16 2008479
17 200783
18 20061
19 2005377
20 199834

About Lin‐Feng Chen

Lin‐Feng Chen is a scholar working on Cancer Research, Immunology, Molecular Biology, Virology and Oncology, having authored 100 papers that have together received 9.2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (23 papers), Ubiquitin and proteasome pathways (12 papers), Immune Response and Inflammation (11 papers), Immune Cell Function and Interaction (10 papers), Epigenetics and DNA Methylation (9 papers), Protein Degradation and Inhibitors (9 papers), Helicobacter pylori-related gastroenterology studies (8 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Virology (801 citations), Geriatrics and Gerontology (640 citations), Cancer Research (2.2k citations), Immunology (2.3k citations) and Molecular Biology (5.1k citations). Lin‐Feng Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Warner C. Greene, Eric Verdin, Wolfgang Fischle, Hakju Kwon, Xiaodong Yang, Samuel A. Williams, Acacia Lamb, Bo Huang, Yajun Mu and Keiko Ozato. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, The EMBO Journal and Molecular and Cellular Biology.

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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