Susan M. Buttler

10 total papers · 488 total citations
9 papers, 401 citations indexed

About

Susan M. Buttler is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Psychiatry and Mental health. According to data from OpenAlex, Susan M. Buttler has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 2 papers in Psychiatry and Mental health. Recurrent topics in Susan M. Buttler's work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Hormonal and reproductive studies (2 papers). Susan M. Buttler is often cited by papers focused on Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Hormonal and reproductive studies (2 papers). Susan M. Buttler collaborates with scholars based in United States and Canada. Susan M. Buttler's co-authors include James C. Stolzenbach, Maureen T. Kelly, Carolyn M. Setze, Darryl J. Sleep, Peter H. Jones, Anthony Edmonds, Harold Bays, Michael H. Davidson, Syed M. Mohiuddin and Paul Siami and has published in prestigious journals such as The American Journal of Cardiology, American Heart Journal and Atherosclerosis.

In The Last Decade

Susan M. Buttler

9 papers receiving 388 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Susan M. Buttler 274 261 88 86 48 9 401
Jeanne M. Dobrzynski 100 0.4× 161 0.6× 44 0.5× 26 0.3× 102 2.1× 14 349
Thomas Brewster 108 0.4× 153 0.6× 12 0.1× 33 0.4× 35 0.7× 10 404
William S. Mullican 112 0.4× 137 0.5× 103 1.2× 14 0.2× 36 0.8× 9 426
Shaul Yaari 121 0.4× 145 0.6× 29 0.3× 63 0.7× 57 1.2× 14 422
Allen Shek 82 0.3× 189 0.7× 7 0.1× 27 0.3× 65 1.4× 17 419
Barbara A. Duncan 59 0.2× 59 0.2× 30 0.3× 29 0.3× 99 2.1× 11 349
Hardik Vasnawala 165 0.6× 140 0.5× 8 0.1× 31 0.4× 95 2.0× 12 405
Lyne Messier 168 0.6× 60 0.2× 17 0.2× 21 0.2× 81 1.7× 14 440
Malcolm Kendrick 151 0.6× 192 0.7× 6 0.1× 43 0.5× 70 1.5× 12 393
Chih Jen Chang 86 0.3× 105 0.4× 13 0.1× 18 0.2× 16 0.3× 10 420

Countries citing papers authored by Susan M. Buttler

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Buttler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Buttler. 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 Susan M. Buttler. The network helps show where Susan M. Buttler may publish in the future.

Co-authorship network of co-authors of Susan M. Buttler

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Buttler. A scholar is included among the top collaborators of Susan M. Buttler 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 Susan M. Buttler. Susan M. Buttler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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