Roger S. Chen

642 citations
6 papers · 543 · h-index 6

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis

Papers in

    • Signaling Pathways in Disease 1
    • Protein Degradation and Inhibitors 1
    • Cancer therapeutics and mechanisms 1
    • NF-κB Signaling Pathways 2
    • Cancer, Hypoxia, and Metabolism 1

Roger S. Chen

6 papers receiving 518 citations

Peers

Roger S. Chen
Comparison fields: 5 of 69
  • Hematology 315
  • Oncology 182
  • Genetics 69
  • Molecular Biology 304
  • Immunology 76
Replace Tina M. Woo with:
Tina M. Woo United States
Nobuyoshi Tsuruoka Japan
Masanori Umeda Japan
Hai Lin China
Ruriko Tanaka Japan
Lata Chauhan United States
Soraya Wuillème‐Toumi France
Eloisi Caldas-Lopes United States
Daniel A Luedtke United States
Jana L. Dawson United States
Roger S. Chen relative to Tina M. Woo United States Tina M. Woo's profile →
Citations per field
00.5×1.5×1.9×
Tina M. Woo · 1×
Citations per year

Countries citing papers authored by Roger S. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Roger S. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Roger S. 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 Roger S. Chen Line = papers co-authored together Roger S. Chen links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2008183
2 2003155
3 200677
4 200465
5 200540
6 200323

About Roger S. Chen

Roger S. Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Immunology, having authored 6 papers that have together received 543 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (2 papers), NF-κB Signaling Pathways (2 papers), Multiple Myeloma Research and Treatments (2 papers), Signaling Pathways in Disease (1 paper), Protein Degradation and Inhibitors (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cancer therapeutics and mechanisms (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Hematology (315 citations), Oncology (182 citations), Genetics (69 citations), Molecular Biology (304 citations) and Immunology (76 citations). Roger S. Chen has collaborated with scholars based in Switzerland and United States. Frequent co-authors include David Stirling, George W. Muller, Faribourz Payvandi, Peter Schäfer, Linghua Zhang, Hon‐Wah Man, Lei Wu, J. Blake Bartlett, Laura G. Corral and Christopher C.W. Hughes. Their work appears in journals such as Microvascular Research, Journal of Pharmacology and Experimental Therapeutics, Cellular Immunology, Journal of Interferon & Cytokine Research and Chirality.

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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