John McDaid

1.8k citations
38 papers · 1.4k · h-index 20

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Mast cells and histamine
    • Immunodeficiency and Autoimmune Disorders

Papers in

John McDaid

34 papers receiving 1.4k citations

Peers

John McDaid
Comparison fields: 5 of 106
  • Nephrology 158
  • Immunology 415
  • Physiology 93
  • Cellular and Molecular Neuroscience 318
  • Genetics 139
Replace Pingwei Zhao with:
Pingwei Zhao China
Sandip Panicker United States
Dominique Lorang United States
Tatsuro Mutoh Japan
Eulalia Bazán Spain
John D. Lee Australia
Kyungmin Ji United States
Susanna Mantovani Australia
Olivier Valdenaire Switzerland
Christoph G. Goemans United Kingdom
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Citations per field
00.5×5.1×
Pingwei Zhao · 1×
Citations per year

Countries citing papers authored by John McDaid

Since Specialization
Citations

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

Fields of papers citing papers by John McDaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006182
2 2003132
3 2009101
4 200984
5 201274
6 201268
7 200666
8 200766
9 200964
10 202055
11 200953
12 200751
13 200850
14 202044
15 201443
16 200140
17 200537
18 200530
19 200628
20 200719

About John McDaid

John McDaid is a scholar working on Cellular and Molecular Neuroscience, Immunology, Molecular Biology, Physiology and Nephrology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Mast cells and histamine (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), T-cell and B-cell Immunology (3 papers), Renal Diseases and Glomerulopathies (3 papers), Vasculitis and related conditions (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Nephrology (158 citations), Immunology (415 citations), Physiology (93 citations), Cellular and Molecular Neuroscience (318 citations) and Genetics (139 citations). John McDaid has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Nicole J. Horwood, Brian M. J. Foxwell, Charles D. Pusey, T. Celeste Napier, Frederick W.K. Tam, Tara Mahon, David Webster, Fionula M. Brennan, Jamie I. D. Campbell and Christine D. Palmer. Their work appears in journals such as Journal of the American Society of Nephrology, Journal of Pharmacology and Experimental Therapeutics, The Journal of Immunology, Kidney International and Pharmaceutics.

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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