Wayne L. Ryan

1.8k citations
64 papers · 1.5k · h-index 18

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Nitric Oxide and Endothelin Effects

Papers in

Wayne L. Ryan

58 papers receiving 1.3k citations

Peers

Wayne L. Ryan
Comparison fields: 5 of 111
  • Cancer Research 303
  • Physiology 85
  • Clinical Biochemistry 106
  • Biochemistry 113
  • Molecular Biology 727
Replace Catherine Figarella with:
Catherine Figarella France
Harutoshi Kizaki Japan
Bengt G. Johansson Sweden
Ernst-Dieter Jarasch Germany
Giovanna Valentini Italy
Heleen Vreeling‐Sindelárová Netherlands
Max E. Rafelson United States
R.J. Wieme Belgium
H. Stähelin Japan
Sumio Watanabe Japan
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Citations per field
00.5×3.3×
Catherine Figarella · 1×
Citations per year

Countries citing papers authored by Wayne L. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Wayne L. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017218
2 1968206
3
Adenosine 3',5'-cyclic monophosphate and contact inhibition.
1971113
4
Cyclic nucleotides on cell growth in vitro.
197098
5 201075
6 196470
7 196843
8 196943
9 197239
10 196639
11 200534
12 197332
13 196331
14 201824
15 196422
16 196621
17 197820
18
Utility of an ELISA-based antibody test for detection of heartworm infection in cats.
199518
19 196717
20 196216

About Wayne L. Ryan

Wayne L. Ryan is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Physiology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Adenosine and Purinergic Signaling (7 papers), Biochemical and Molecular Research (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Animal Virus Infections Studies (4 papers), Immunotherapy and Immune Responses (3 papers), Renal and related cancers (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (303 citations), Physiology (85 citations), Clinical Biochemistry (106 citations), Biochemistry (113 citations) and Molecular Biology (727 citations). Wayne L. Ryan has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Margaret L. Heidrick, Gary Krzyzanowski, M. Rohan Fernando, Chao Jiang, Ibert C. Wells, Michael J. Carver, Richard J. Johnson, Gary L. Curtis, Frej Stenbäck and Samuel J. DiMari. Their work appears in journals such as Experimental Biology and Medicine, Science, Archives of Biochemistry and Biophysics, Cancer Letters and Fertility and Sterility.

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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