Daniel Walsh

452 citations
5 papers · 349 · h-index 3

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 1
    • IL-33, ST2, and ILC Pathways 1

Daniel Walsh

5 papers receiving 347 citations

Peers

Daniel Walsh
Comparison fields: 5 of 52
  • Physiology 84
  • Immunology 241
  • Speech and Hearing 17
  • Oncology 58
  • Biological Psychiatry 5
Replace Scott W. Hooker with:
Scott W. Hooker United States
Enja Schneider Germany
Susan Molleran Lee United States
Sailesh Gopalakrishna-Pillai United States
Lucy Hepburn United Kingdom
Margaret C. Chetty United Kingdom
Tanja M. Müller Germany
Alexander S. Roesler United States
Joshua Piotrowski United States
Ellen M. Ross United Kingdom
Daniel Walsh relative to Scott W. Hooker United States Scott W. Hooker's profile →
Citations per field
00.5×11×
Scott W. Hooker · 1×
Citations per year

Countries citing papers authored by Daniel Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown

About Daniel Walsh

Daniel Walsh is a scholar working on Immunology, Surgery, Molecular Biology, Pharmacology and Epidemiology, having authored 5 papers that have together received 349 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Cannabis and Cannabinoid Research (1 paper), Pharmacological Receptor Mechanisms and Effects (1 paper), Asthma and respiratory diseases (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Immune Cell Function and Interaction (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Physiology (84 citations), Immunology (241 citations), Speech and Hearing (17 citations), Oncology (58 citations) and Biological Psychiatry (5 citations). Daniel Walsh has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Stephen C. Jameson, Lalit K. Beura, David Masopust, Sara E. Hamilton, Changwei Peng, Katharine E. Block, Ameeta Kelekar, Lucy Vulchanova, Raíssa Fonseca and Yan Yan. Their work appears in journals such as The Journal of Immunology, Nature Immunology and Nature.

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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