Thomas Raven

970 citations
6 papers · 819 · h-index 5

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • interferon and immune responses
    • Phagocytosis and Immune Regulation
    • NF-κB Signaling Pathways

Papers in

    • Protein Tyrosine Phosphatases 2
    • Ubiquitin and proteasome pathways 1
    • Fungal and yeast genetics research 1
    • Pancreatic function and diabetes 2

Thomas Raven

6 papers receiving 795 citations

Peers

Thomas Raven
Comparison fields: 5 of 75
  • Immunology 295
  • Cancer Research 145
  • Molecular Biology 608
  • Oncology 148
  • Aging 6
Replace Kwok‐Tao Pun with:
Kwok‐Tao Pun United Kingdom
Walter Fiers Belgium
Peter H. Krammer Germany
Sumathi Muthukkumar United States
Joe Rodriguez United States
Kevin A. Myers United Kingdom
Eric A. Atkinson Canada
Alison J. Darmon Canada
Akiyuki Hada Japan
R. G. Ebb United States
Thomas Raven relative to Kwok‐Tao Pun United Kingdom Kwok‐Tao Pun's profile →
Citations per field
00.5×1.5×
Kwok‐Tao Pun · 1×
Citations per year

Countries citing papers authored by Thomas Raven

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Raven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Thomas Raven, 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 Thomas Raven Line = papers co-authored together Thomas Raven links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Thomas Raven

Thomas Raven is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Animal Science and Zoology, having authored 6 papers that have together received 819 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (2 papers), Pancreatic function and diabetes (2 papers), Microbial Inactivation Methods (1 paper), Ubiquitin and proteasome pathways (1 paper), NF-κB Signaling Pathways (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Immunology (295 citations), Cancer Research (145 citations), Molecular Biology (608 citations), Oncology (148 citations) and Aging (6 citations). Thomas Raven has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Robin Brown, Kwok‐Tao Pun, Stuart Farrow, Jean‐Claude Martinou, Julia H. White, Isabelle Martinou, Yingping Jiang, Jeremy Kitson, David V. Goeddel and L Ellis. Their work appears in journals such as Nature, Analytical Biochemistry, American Journal of Physiology-Endocrinology and Metabolism, Cell Death and Differentiation and Journal of Clinical Investigation.

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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