Richard Chen

119 papers receiving 3.6k citations

Richard Chen's Hit Papers

A network-based analysis of systemic inflammation in humans 2005 · 1.1k citations
1.1k0+7+14Years since publication2505007501000

Peers

Richard Chen
Comparison fields: 5 of 180
  • Biological Psychiatry 83
  • Immunology 471
  • Cancer Research 331
  • Nephrology 139
  • Molecular Biology 1.3k
Replace Grier P. Page with:
Grier P. Page United States
Jie Zhang China
Nelson L.S. Tang Hong Kong
Kai Liu China
Paul A. Friedman United States
Xiao Xiao China
Ran Zhang China
Jing Zhang China
Yong Zhang China
Xiaohong Liu China
Richard Chen relative to Grier P. Page United States Grier P. Page's profile →
Citations per field
00.5×1.5×
Grier P. Page · 1×
Citations per year

Countries citing papers authored by Richard Chen

Since Specialization
Citations

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

Fields of papers citing papers by Richard Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A network-based analysis of systemic inflammation in humans
Hit paper breakdown →
20051129
2
DNA-dependent protein kinase stimulates an independently active, nonhomologous, end-joining apparatus.
2000209
3 1993139
4 2010137
5 2011129
6 1994110
7 201392
8 200586
9 200383
10 202076
11 199572
12 202165
13 201264
14 201461
15 201751
16 201850
17 201748
18 200946
19 201844
20 201540

About Richard Chen

Richard Chen is a scholar working on Molecular Biology, Oncology, Cancer Research, Cardiology and Cardiovascular Medicine and Genetics, having authored 133 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (21 papers), Cancer Immunotherapy and Biomarkers (11 papers), Immunotherapy and Immune Responses (8 papers), Genomics and Phylogenetic Studies (7 papers), Genomics and Rare Diseases (6 papers), vaccines and immunoinformatics approaches (6 papers), Food composition and properties (6 papers) and Bipolar Disorder and Treatment (6 papers). The work is most often cited by research in Biological Psychiatry (83 citations), Immunology (471 citations), Cancer Research (331 citations), Nephrology (139 citations) and Molecular Biology (1.3k citations). Richard Chen has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Ramon M. Felciano, Steve E. Calvano, Carol Miller‐Graziano, Daniel R. Richards, Michael Mindrinos, Lyle L. Moldawer, Ronald G. Tompkins, Ronald W. Davis, Wenzhong Xiao and Bernard H. Brownstein. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Nature Communications, Journal of Vascular and Interventional Radiology and CNS Spectrums.

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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