Leslie Smoot

4.9k citations
45 papers · 3.0k indexed · 1 hit paper · h-index 23

Leslie Smoot

44 papers receiving 2.9k citations

Hit Papers

Mutations in Sarcomere Protein Genes as a Cause of Dilate...20002026200820172000100200300400500

Peers

Leslie Smoot
Comparison fields: 5 of 111
  • Molecular Biology 1.9k
  • Cardiology and Cardiovascular Medicine 890
  • Genetics 437
  • Epidemiology 384
  • Surgery 347
Replace Piotr Religa with:
Piotr Religa Sweden
Laurent Metzinger France
Nolan L. Boyd United States
Soichi Sano Japan
Laura Porretti Italy
Markku Heikinheimo Finland
Atsushi Ikeda Japan
Masaru Matsui Japan
Brian T. Nowlin United States
Marta Diegoli Italy
Leslie Smoot relative to Piotr Religa Sweden Piotr Religa's profile →
Citations per field
00.5×5.1×
Piotr Religa · 1×
Citations per year

Countries citing papers authored by Leslie Smoot

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Smoot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leslie Smoot

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Smoot. A scholar is included among the top collaborators of Leslie Smoot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leslie Smoot. Leslie Smoot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 9
3 12
4 34
5 63
6 46
7 26
8 13
9 1
10 48
11 18
12 42
13 68
14 189
15 22
16 138
17 78
18 110
19
Mutations in Sarcomere Protein Genes as a Cause of Dilated Cardiomyopathybreakdown →
527
20 2

About Leslie Smoot

Leslie Smoot is a scholar working on Developmental Neuroscience, Transplantation and Cardiology and Cardiovascular Medicine, having authored 45 papers that have together received 3.0k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (10 papers), Williams Syndrome Research (7 papers) and Congenital heart defects research (6 papers). The work is most often cited by research in Developmental Neuroscience (186 citations), Cardiology and Cardiovascular Medicine (890 citations) and Molecular Biology (1.9k citations). Leslie Smoot has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Vijak Mahdavi, Roger E. Breitbart, Yi‐Tao Yu, B Nadal-Ginard, Christine E. Seidman, Mary P. Mullen, Barbara McDonough, John A. Jarcho, Sapna Sharma and J G Seidman. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Circulation.

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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