Ryan G. Walker

913 citations
24 papers · 766 · h-index 13

Impact in

Papers in

    • TGF-β signaling in diseases 11
    • Muscle Physiology and Disorders 8
    • Protein Structure and Dynamics 6
    • GDF15 and Related Biomarkers 4

Ryan G. Walker

23 papers receiving 740 citations

Peers

Ryan G. Walker
Comparison fields: 5 of 67
  • Aging 42
  • Developmental Neuroscience 35
  • Molecular Biology 431
  • Rheumatology 62
  • Physiology 98
Replace Tommaso Poggioli with:
Tommaso Poggioli United Kingdom
Marc A. Egerman United States
Shenglin Ma Switzerland
Qiang Yu China
Saara Forsström Finland
Yaobin Jing China
Laura Cecilia Zelarayan Germany
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Sofia Ahola Finland
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Citations per field
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Tommaso Poggioli · 1×
Citations per year

Countries citing papers authored by Ryan G. Walker

Since Specialization
Citations

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

Fields of papers citing papers by Ryan G. Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016173
2 2015168
3 201796
4 201757
5 201439
6 201832
7 201427
8 201521
9 201521
10 202018
11 201917
12 201515
13 201615
14 201913
15 201211
16 20238
17 20087
18 20126
19 20156
20 20205

About Ryan G. Walker

Ryan G. Walker is a scholar working on Molecular Biology, Rheumatology, Cardiology and Cardiovascular Medicine, Cell Biology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 766 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (11 papers), Muscle Physiology and Disorders (8 papers), Protein Structure and Dynamics (6 papers), GDF15 and Related Biomarkers (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Cholesterol and Lipid Metabolism (2 papers), Nerve injury and regeneration (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Aging (42 citations), Developmental Neuroscience (35 citations), Molecular Biology (431 citations), Rheumatology (62 citations) and Physiology (98 citations). Ryan G. Walker has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Thomas B. Thompson, Richard Theodore Lee, Amy J. Wagers, Yick W. Fong, Tommaso Poggioli, Juhyun Oh, Ana Vujić, Miook Cho, Lee L. Rubin and Peter Ganz. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Scientific Reports, Circulation Research and Brain Research.

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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