Joël Ryan

1.6k citations
47 papers · 1.0k · h-index 20

Impact in

Papers in

    • Zebrafish Biomedical Research Applications 4
    • Microtubule and mitosis dynamics 3
    • Cell Image Analysis Techniques 4

Joël Ryan

43 papers receiving 969 citations

Peers

Joël Ryan
Comparison fields: 5 of 123
  • Aging 34
  • Cell Biology 216
  • Molecular Biology 538
  • Biophysics 43
  • Developmental Neuroscience 28
Replace Koji L. Ode with:
Koji L. Ode Japan
Andrew Michael Seeds United States
Mark H. Ellisman United States
Michael Winding United States
Joseph L. Dynes United States
David J. Luginbuhl United States
Jan Felix Evers Germany
Tony Cijsouw Netherlands
Constance Richter Germany
Joël Ryan relative to Koji L. Ode Japan Koji L. Ode's profile →
Citations per field
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Koji L. Ode · 1×
Citations per year

Countries citing papers authored by Joël Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Joël Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201092
2 201991
3 200968
4 199167
5 201366
6 202050
7 201948
8 202146
9 201743
10 201739
11 202333
12 201533
13 201633
14 201431
15 202329
16 201229
17 197226
18 202125
19 201021
20 202121

About Joël Ryan

Joël Ryan is a scholar working on Cell Biology, Biophysics, Cellular and Molecular Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Genomics and Chromatin Dynamics (4 papers), Cell Image Analysis Techniques (4 papers), Epigenetics and DNA Methylation (4 papers), Zebrafish Biomedical Research Applications (4 papers), RNA and protein synthesis mechanisms (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Aging (34 citations), Cell Biology (216 citations), Molecular Biology (538 citations), Biophysics (43 citations) and Developmental Neuroscience (28 citations). Joël Ryan has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Louis Saint‐Amant, Paul S. Maddox, Heinrich Leonhardt, Ethan Clark Garner, Jonas F. Dorn, Yanwei Xi, Marc Ekker, Man Yu, Sandra Noble and Thomas Pietri. Their work appears in journals such as eLife, Scientific Reports, Journal of Neuroscience, Contemporary Music Review and Theory of Computing Systems.

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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