Ryan G. Walker

1.0k citations
26 papers · 756 · h-index 14

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • GDF15 and Related Biomarkers

Papers in

    • Muscle Physiology and Disorders 11
    • TGF-β signaling in diseases 4
    • Protein Structure and Dynamics 3
    • Lipoproteins and Cardiovascular Health 3

Ryan G. Walker

23 papers receiving 741 citations

Peers

Ryan G. Walker
Comparison fields: 5 of 90
  • Aging 38
  • Rheumatology 169
  • Physiology 192
  • Molecular Biology 484
  • Genetics 54
Replace Farid Moussavi‐Harami with:
Farid Moussavi‐Harami United States
Katarzyna Goljanek‐Whysall United Kingdom
Giulia Minetti Switzerland
Xiaomin Kang China
Tomàs Pinós Spain
Kevin I. Watt Australia
Marc A. Egerman United States
Xiaochen Fan China
Garrett A. Sessions United States
Marie‐Lune Simard Germany
Ryan G. Walker relative to Farid Moussavi‐Harami United States Farid Moussavi‐Harami's profile →
Citations per field
00.5×2.7×
Farid Moussavi‐Harami · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015159
2 2016155
3 201786
4 201755
5 201854
6 201438
7 201830
8 201425
9 201523
10 201520
11 201916
12 201615
13 201515
14 201914
15 201212
16 20087
17 20236
18 20126
19 20156
20 20205

About Ryan G. Walker

Ryan G. Walker is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Physiology and Rheumatology, having authored 26 papers that have together received 756 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), GDF15 and Related Biomarkers (5 papers), TGF-β signaling in diseases (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Protein Structure and Dynamics (3 papers), Nutrition and Health in Aging (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Aging (38 citations), Rheumatology (169 citations), Physiology (192 citations), Molecular Biology (484 citations) and Genetics (54 citations). Ryan G. Walker has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Thomas B. Thompson, Richard Lee, Amy J. Wagers, Tommaso Poggioli, Yick W. Fong, Juhyun Oh, Ana Vujić, Miook Cho, Lee L. Rubin and Bettina Heidecker. Their work appears in journals such as Journal of Biological Chemistry, Brain Research, Circulation Research, Endocrinology and Experimental Biology and Medicine.

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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