Shirley Sutton

3.3k citations
20 papers · 870 · h-index 15

Impact in

Papers in

Shirley Sutton

19 papers receiving 864 citations

Peers

Shirley Sutton
Comparison fields: 5 of 89
  • Cardiology and Cardiovascular Medicine 657
  • Structural Biology 13
  • Molecular Biology 463
  • Cell Biology 83
  • Developmental Neuroscience 14
Replace Antonio Pinto with:
Antonio Pinto Venezuela
Weikang Ma United States
Darshan V. Trivedi United States
Maria E. Zoghbi United States
Elisabetta Brunello United Kingdom
Alexandra Freiburg Germany
Betty Belknap United States
Ay Lin Kho United Kingdom
Milton Vieira Coelho Brazil
Christopher N. Toepfer United Kingdom
Shirley Sutton relative to Antonio Pinto Venezuela Antonio Pinto's profile →
Citations per field
00.5×1.5×1.8×
Antonio Pinto · 1×
Citations per year

Countries citing papers authored by Shirley Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Shirley Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017152
2 2013135
3 201586
4 201582
5 201557
6 201655
7 201553
8 201751
9 201348
10 201934
11 201927
12 201426
13 200420
14
Comments on Project MATCH: matching alcohol treatments to client heterogeneity.
199916
15 199615
16 19896
17 20154
18 20241
19 20111
20
Building Bridges Through Sensory Integration : Therapy for Children with Autism and Other Pervasive Developmental Disorders
20151

About Shirley Sutton

Shirley Sutton is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Atomic and Molecular Physics, and Optics, Epidemiology and Cell Biology, having authored 20 papers that have together received 870 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (13 papers), Cardiovascular Effects of Exercise (7 papers), Muscle Physiology and Disorders (5 papers), Force Microscopy Techniques and Applications (2 papers), Viral Infections and Immunology Research (2 papers), Cellular Mechanics and Interactions (2 papers), Autism Spectrum Disorder Research (1 paper) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (657 citations), Structural Biology (13 citations), Molecular Biology (463 citations), Cell Biology (83 citations) and Developmental Neuroscience (14 citations). Shirley Sutton has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include James A. Spudich, Kathleen M. Ruppel, Suman Nag, Ruth F. Sommese, Saswata S. Sarkar, Arjun S. Adhikari, Jongmin Sung, Leslie A. Leinwand, Darshan V. Trivedi and Tural Aksel. Their work appears in journals such as Science Advances, Nature Communications, Journal of Experimental Biology, Cell Reports and PLoS ONE.

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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