John E. Smith

1.6k citations
41 papers · 1.1k · h-index 20

Impact in

Papers in

John E. Smith

41 papers receiving 1.1k citations

Peers

John E. Smith
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 615
  • Molecular Biology 658
  • Cell Biology 139
  • Aging 15
  • Genetics 81
Replace Kathleen A. Clark with:
Kathleen A. Clark United States
Jeanine A. Ursitti United States
Padmanabhan Vakeel United States
Elena Rostkova United Kingdom
Po‐Hsien Chu Taiwan
Allison Weiss United States
Aiping Du United States
Maegen A. Ackermann United States
Franz Obermayr Germany
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Citations per field
00.5×10×17×
Kathleen A. Clark · 1×
Citations per year

Countries citing papers authored by John E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by John E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Smith. 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 John E. Smith. The network helps show where John E. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014121
2 201785
3 201382
4 201476
5 201871
6 200057
7 201553
8 201950
9 201939
10 199638
11 202036
12 201535
13 200133
14 201432
15 200231
16 202025
17 199723
18 201922
19 202021
20 201721

About John E. Smith

John E. Smith is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Cellular and Molecular Neuroscience and Genetics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (26 papers), Muscle Physiology and Disorders (16 papers), Cellular Mechanics and Interactions (6 papers), Cardiovascular Effects of Exercise (5 papers), RNA Research and Splicing (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (615 citations), Molecular Biology (658 citations), Cell Biology (139 citations), Aging (15 citations) and Genetics (81 citations). John E. Smith has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Henk Granzier, Mei Methawasin, Chandra Saripalli, Kirk R. Hutchinson, Paola Tonino, Balázs Kiss, Claire Cronmiller, Siegfried Labeit, Coen A. C. Ottenheijm and Joshua Strom. Their work appears in journals such as Biophysical Journal, Circulation, The Journal of General Physiology, Development and Journal of Molecular and Cellular Cardiology.

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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