Daniel A. Ryan

642 citations
5 papers · 566 · h-index 5

Impact in

  • Immunology top 10%
    • Psoriasis: Treatment and Pathogenesis
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • IL-33, ST2, and ILC Pathways 1
    • Supramolecular Chemistry and Complexes 1
    • Click Chemistry and Applications 1

Daniel A. Ryan

5 papers receiving 549 citations

Peers

Daniel A. Ryan
Comparison fields: 5 of 74
  • Immunology 302
  • Endocrine and Autonomic Systems 28
  • Oncology 79
  • Dermatology 26
  • Organic Chemistry 81
Replace Zhijun Xiang with:
Zhijun Xiang China
Natasha Rozenkrants United States
Dominik Thimm Germany
Michael Yeadon United Kingdom
Dominica Willmann Germany
Thao D. Perry United States
Eiichi Nakai Japan
Jane C. McPHEAT Sweden
Richard E Armer United Kingdom
Qianqian Ming United States
Daniel A. Ryan relative to Zhijun Xiang China Zhijun Xiang's profile →
Citations per field
00.5×1.5×1.8×
Zhijun Xiang · 1×
Citations per year

Countries citing papers authored by Daniel A. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Daniel A. Ryan, 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 A. Ryan Line = papers co-authored together Daniel A. Ryan links everyone, so they are left out of the graph.

All Works

About Daniel A. Ryan

Daniel A. Ryan is a scholar working on Immunology, Organic Chemistry, Spectroscopy, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 5 papers that have together received 566 indexed citations. Recurring topics across this work include Supramolecular Chemistry and Complexes (1 paper), Mass Spectrometry Techniques and Applications (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Advanced Chemical Sensor Technologies (1 paper), Pneumonia and Respiratory Infections (1 paper), Influenza Virus Research Studies (1 paper), Click Chemistry and Applications (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (302 citations), Endocrine and Autonomic Systems (28 citations), Oncology (79 citations), Dermatology (26 citations) and Organic Chemistry (81 citations). Daniel A. Ryan has collaborated with scholars based in United States and France. Frequent co-authors include David Y. Gin, Nicolas Manel, Monica W. L. Leung, Fabio R. Santori, Jun Ryul Huh, Michael R. Krout, Jonathan Chow, Maria Ciofani, Sangwon V. Kim and H. Eric Xu. Their work appears in journals such as Journal of the American Chemical Society, The Analyst, Nature and Chemical Biology & Drug Design.

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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