M. Dunn

1.6k citations
14 papers · 1.2k indexed · h-index 11

Impact in

  • Immunology top 5%
    • Psoriasis: Treatment and Pathogenesis
    • IL-33, ST2, and ILC Pathways
    • Dermatology and Skin Diseases

Papers in

M. Dunn

14 papers receiving 1.2k citations

Peers

M. Dunn
Comparison fields: 5 of 96
  • Immunology 615
  • Dermatology 237
  • Rheumatology 320
  • Hematology 190
  • Biophysics 77
Replace Anna Kuryliszyn-Moskal with:
Anna Kuryliszyn-Moskal Poland
Adrian Forster Switzerland
Cathy Zhao Australia
Andrew Taylor Australia
Wendy Marder United States
Noriko Iikuni United States
Pál Géher Hungary
Domenico Paolo Emanuele Margiotta Italy
Andra Bălănescu Romania
Frederick T. Murphy United States
M. Dunn relative to Anna Kuryliszyn-Moskal Poland Anna Kuryliszyn-Moskal's profile →
Citations per field
00.5×10×15.4×
Anna Kuryliszyn-Moskal · 1×
Citations per year

Countries citing papers authored by M. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by M. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2010228
2 201043
3
Long-term safety and efficacy of etanercept in patients with psoriasis: an open-label study.
201066
4 20093
5 2007268
6 200752
7 200631
8
Continued inhibition of radiographic progression in patients with psoriatic arthritis following 2 years of treatment with etanercept.
2006167
9 199710
10 199712
11 1997140
12 1996110
13 19959
14 199367

About M. Dunn

M. Dunn is a scholar working on Immunology, Dermatology, Rheumatology, Physiology and Hematology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (4 papers), Asthma and respiratory diseases (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Dermatology and Skin Diseases (2 papers), Dementia and Cognitive Impairment Research (2 papers), Spondyloarthritis Studies and Treatments (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Immunology (615 citations), Dermatology (237 citations), Rheumatology (320 citations), Hematology (190 citations) and Biophysics (77 citations). M. Dunn has collaborated with scholars based in United States and Canada. Frequent co-authors include Angelika Jahreis, Alice B. Gottlieb, Stephen K. Tyring, Kenneth B. Gordon, Yves Poulin, Richard G. Langley, Raymond A. Sobel, Howard N. Hodis, Wendy J. Mack and Philip J. Mease. Their work appears in journals such as Controlled Clinical Trials, American Journal of Respiratory and Critical Care Medicine, Journal of Allergy and Clinical Immunology, Lara D. Veeken and Archives of Gerontology and Geriatrics.

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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