Herbert A. Runnels

747 citations
15 papers · 573 · h-index 13

Impact in

    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Ubiquitin and proteasome pathways 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • T-cell and B-cell Immunology 2
    • Immune Response and Inflammation 2

Herbert A. Runnels

15 papers receiving 563 citations

Peers

Herbert A. Runnels
Comparison fields: 5 of 77
  • Immunology 187
  • Microbiology 25
  • Molecular Biology 268
  • Genetics 101
  • Oncology 76
Replace Jonathan G. Lieber with:
Jonathan G. Lieber United States
Y. Taniguchi Japan
Hansjörg Schild Germany
Christophe Lallemand France
Regina Voglauer Austria
Yiwen Yao China
Zhen Yan China
Ken Dower United States
Juan M. Iturregui United States
Sadayoshi Sekiguchi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Herbert A. Runnels

Since Specialization
Citations

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

Fields of papers citing papers by Herbert A. Runnels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Herbert A. Runnels. 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 Herbert A. Runnels. The network helps show where Herbert A. Runnels may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011101
2 202194
3 200489
4 199655
5 201647
6 200042
7 201228
8 199426
9 201020
10 200019
11 202318
12 199714
13 199412
14 20214
15 20104

About Herbert A. Runnels

Herbert A. Runnels is a scholar working on Molecular Biology, Immunology, Cell Biology, Genetics and Oncology, having authored 15 papers that have together received 573 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Virus-based gene therapy research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cell Adhesion Molecules Research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (187 citations), Microbiology (25 citations), Molecular Biology (268 citations), Genetics (101 citations) and Oncology (76 citations). Herbert A. Runnels has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Peter E. Jensen, Joseph Curtis Moore, John J. Monaco, R. R. Bell, Jean S. Beebe, Petra Koza‐Taylor, Leslie Obert, Michael P. Lawton, Seth Sadis and Zaher A. Radi. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Advances in Therapy, Clinical Science, The Journal of Experimental Medicine and Frontiers in Bioengineering and Biotechnology.

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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