John J. Ryan

2.7k citations
35 papers · 2.1k · h-index 24

Impact in

Papers in

John J. Ryan

34 papers receiving 2.1k citations

Peers

John J. Ryan
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 422
  • Immunology 484
  • Transplantation 52
  • Oncology 446
  • Pathology and Forensic Medicine 197
Replace Fred P.H.T.M. Romijn with:
Fred P.H.T.M. Romijn Netherlands
Hiroshi Nihei Japan
A. Testa Italy
Tetsuya Kaneko Japan
Michael Poon United States
Maribel Díaz‐Ricart Spain
Hae Il Cheong South Korea
Cira Di Gioia Italy
Jingbo Zhang China
Roberto Giulio Romanelli Italy
John J. Ryan relative to Fred P.H.T.M. Romijn Netherlands Fred P.H.T.M. Romijn's profile →
Citations per field
00.5×2.7×
Fred P.H.T.M. Romijn · 1×
Citations per year

Countries citing papers authored by John J. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by John J. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013307
2 1988280
3 1996140
4 2003134
5 2005115
6 2005114
7 199288
8 201379
9 200077
10 199475
11 200769
12 198466
13 200665
14 201560
15 200152
16 200446
17 198845
18 199041
19 199936
20 199033

About John J. Ryan

John J. Ryan is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Physiology, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Mast cells and histamine (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Cell death mechanisms and regulation (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Genetic factors in colorectal cancer (2 papers), Asthma and respiratory diseases (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (422 citations), Immunology (484 citations), Transplantation (52 citations), Oncology (446 citations) and Pathology and Forensic Medicine (197 citations). John J. Ryan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ian Hay, Erik J. Bergstralh, Colum A. Gorman, Kenneth P. Offord, Zhigang Hong, Erik Morrow, Stephen L. Archer, Hannah J. Zhang, Willard W. Sharp and Sarah M. Jacobs-Helber. Their work appears in journals such as Blood, World Journal of Surgery, Journal of Neuroimmunology, The Journal of Immunology and American Journal of Nephrology.

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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