Daniel Regan-Komito

585 citations
16 papers · 414 · h-index 10

Impact in

    • Immune cells in cancer
    • Phagocytosis and Immune Regulation
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Psoriasis: Treatment and Pathogenesis
    • Autoimmune and Inflammatory Disorders Research

Papers in

    • IL-33, ST2, and ILC Pathways 2
    • Immunotherapy and Immune Responses 2
    • Immune responses and vaccinations 2
    • Microscopic Colitis 3
    • Mycobacterium research and diagnosis 2

Daniel Regan-Komito

14 papers receiving 412 citations

Peers

Daniel Regan-Komito
Comparison fields: 5 of 74
  • Immunology 211
  • Hematology 51
  • Neurology 30
  • Rheumatology 43
  • Immunology and Allergy 13
Replace Zayda L. Piedra-Quintero with:
Zayda L. Piedra-Quintero Mexico
Yan Qi China
Alice Barbarin France
Kazuhito Gotoh Japan
Xavier Blanchet Germany
Selina McHarg United Kingdom
Zengli Guo United States
Martina Meßner Germany
Susanne Aschermann Germany
David Soler United States
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Citations per field
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Zayda L. Piedra-Quintero · 1×
Citations per year

Countries citing papers authored by Daniel Regan-Komito

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Regan-Komito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Regan-Komito. 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 Daniel Regan-Komito. The network helps show where Daniel Regan-Komito may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201485
2 202084
3 201552
4 202143
5 201331
6 202027
7 202123
8 201321
9 201718
10 201714
11 20249
12 20145
13 20241
14 20251
15 20250
16 20240

About Daniel Regan-Komito

Daniel Regan-Komito is a scholar working on Immunology, Epidemiology, Molecular Biology, Genetics and Surgery, having authored 16 papers that have together received 414 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (4 papers), Cell Adhesion Molecules Research (3 papers), Microscopic Colitis (3 papers), Gut microbiota and health (2 papers), Mycobacterium research and diagnosis (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Immunotherapy and Immune Responses (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Immunology (211 citations), Hematology (51 citations), Neurology (30 citations), Rheumatology (43 citations) and Immunology and Allergy (13 citations). Daniel Regan-Komito has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include David R. Greaves, Asif Iqbal, Stephen N. Sansom, James W. Swann, Thibault Griseri, Keith M. Channon, Eileen McNeill, Hassan Melhem, Jan Hendrik Niess and Philippos Demetriou. Their work appears in journals such as Journal of Crohn s and Colitis, Nature Communications, Blood, Interface Focus and Cell Death and Disease.

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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