Feng Chen

63.7k total citations · 5 hit papers
730 papers, 19.1k citations indexed

About

Feng Chen is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Feng Chen has authored 730 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 294 papers in Molecular Biology, 85 papers in Surgery and 82 papers in Immunology. Recurrent topics in Feng Chen's work include RNA modifications and cancer (34 papers), Forensic and Genetic Research (32 papers) and Cancer-related molecular mechanisms research (27 papers). Feng Chen is often cited by papers focused on RNA modifications and cancer (34 papers), Forensic and Genetic Research (32 papers) and Cancer-related molecular mechanisms research (27 papers). Feng Chen collaborates with scholars based in China, United States and Hong Kong. Feng Chen's co-authors include Joshua S. Yuan, Ann M. Reed, C. Neal Stewart, David Fulton, Vincent L. Cryns, Merideth C. Kamradt, Jürgen Götz, Hongsheng Wang, Jiexin Li and David S. Roos and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Feng Chen

671 papers receiving 18.9k citations

Hit Papers

Statistical analysis of real-time PCR data 2005 2026 2012 2019 2006 2005 2011 2006 2025 500 1000 1.5k

Peers

Feng Chen
Comparison fields: 5 of 212
  • Molecular Biology 9.7k
  • Cancer Research 2.2k
  • Immunology 2.1k
  • Physiology 1.8k
  • Genetics 1.8k
Replace Jing Liu with:
Jing Liu China
Jie Wang China
Ling Li China
Jianjun Liu China
Zhihong Liu China
H. J. Yang China
Yibin Wang United States
Jia Wang China
Ling Chen China
David Lyon United States
Jing Liu China View profile →
Citations per field, relative to Feng Chen
Feng Chen · 1×
Citations per year, relative to Feng Chen
Feng Chen · 1×

Countries citing papers authored by Feng Chen

Since Specialization
Citations

This map shows the geographic impact of 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 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 Feng Chen more than expected).

Fields of papers citing papers by Feng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Chen. A scholar is included among the top collaborators of Feng Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Chen. Feng Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 0
5 1
6 1
7 3
8 7
9 3
10 0
11 1
12 18
13 5
14 3
15 0
16 90
17 185
18 2
19 105
20
Sequencing and Analysis of Neanderthal Genomic DNA breakdown →
359

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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