John J. Ryan

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

Impact in

Papers in

    • Cell death mechanisms and regulation 3
    • Receptor Mechanisms and Signaling 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cytokine Signaling Pathways and Interactions 5

John J. Ryan

34 papers receiving 2.1k citations

Peers

John J. Ryan
Comparison fields: 5 of 117
  • Endocrinology, Diabetes and Metabolism 410
  • Immunology 446
  • Transplantation 40
  • Oncology 408
  • Immunology and Allergy 59
Replace Hiroshi Nihei with:
Hiroshi Nihei Japan
Fred P.H.T.M. Romijn Netherlands
Tetsuya Kaneko Japan
Hae Il Cheong South Korea
Michael Poon United States
Björn Tampe Germany
Edouard Battegay Switzerland
Harlan F. Weisman United States
Roberto Giulio Romanelli Italy
Mitsukazu Gotoh Japan
John J. Ryan relative to Hiroshi Nihei Japan Hiroshi Nihei's profile →
Citations per field
00.5×3.9×
Hiroshi Nihei · 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 2013311
2 1988280
3 1996140
4 2003134
5 2005115
6 2005115
7 199288
8 201379
9 200077
10 199475
11 200770
12 198467
13 200665
14 201561
15 200152
16 198845
17 200445
18 199041
19 199936
20 201933

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), Renal Transplantation Outcomes and Treatments (2 papers), Receptor Mechanisms and Signaling (2 papers), Asthma and respiratory diseases (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (410 citations), Immunology (446 citations), Transplantation (40 citations), Oncology (408 citations) and Immunology and Allergy (59 citations). John J. Ryan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ian Hay, Erik J. Bergstralh, Colum A. Gorman, Kenneth P. Offord, Zhigang Hong, Hannah J. Zhang, Erik Morrow, Willard W. Sharp, Stephen L. Archer 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 Journal of Geriatric Physical Therapy.

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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