Ren‐Ming Dai

4.0k citations
11 papers · 1.4k · h-index 8

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Ubiquitin and proteasome pathways 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Heat shock proteins research 1
    • Histone Deacetylase Inhibitors Research 1

Ren‐Ming Dai

11 papers receiving 1.4k citations

Peers

Ren‐Ming Dai
Comparison fields: 5 of 89
  • Immunology 408
  • Cell Biology 322
  • Molecular Biology 905
  • Oncology 328
  • Cancer Research 107
Replace Marie Mancini with:
Marie Mancini United States
Karen A. Fortner United States
Sylvia Rothenberger Switzerland
Petra Vollmer Germany
Sayan Chakraborty United States
Gediminas Greicius Singapore
Yiping Sun China
Sergei Chuvpilo Germany
Andris Avots Germany
Kazuko Murata Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ren‐Ming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ren‐Ming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ren‐Ming Dai. 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 Ren‐Ming Dai. The network helps show where Ren‐Ming Dai may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2007374
2 2010359
3 1998272
4 2010123
5 201288
6 200978
7 200543
8 200830
9 19927
10
Isolation of genome-enzyme complex from cytoplasmic polyhedrosis virus of silkworm Bombyx mori.
19823
11
The protein subunits of the double-stranded RNA dependent RNA polymerase and methyltransferase of the cytoplasmic polyhedrosis virus of silkworm, Bombyx mori.
19862

About Ren‐Ming Dai

Ren‐Ming Dai is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Infectious Diseases, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), NF-κB Signaling Pathways (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Alzheimer's disease research and treatments (1 paper), Heat shock proteins research (1 paper), Immunotherapy and Immune Responses (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Immunology (408 citations), Cell Biology (322 citations), Molecular Biology (905 citations), Oncology (328 citations) and Cancer Research (107 citations). Ren‐Ming Dai has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Chou-Chi H. Li, Carlos Gorbea, Dan L. Longo, Rosalba Salcedo, Giorgio Trinchieri, Andrea Worschech, Marco Cardone, Ena Wang, Francesco M. Marincola and Zsófia Gyulai. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine, Toxicology and Applied Pharmacology, FEBS Letters and The EMBO Journal.

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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