Shanna Hamilton

68 total papers · 902 total citations
29 papers, 678 citations indexed

About

Shanna Hamilton is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Shanna Hamilton has authored 29 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Shanna Hamilton's work include Cardiac electrophysiology and arrhythmias (22 papers), Ion channel regulation and function (16 papers) and Mitochondrial Function and Pathology (9 papers). Shanna Hamilton is often cited by papers focused on Cardiac electrophysiology and arrhythmias (22 papers), Ion channel regulation and function (16 papers) and Mitochondrial Function and Pathology (9 papers). Shanna Hamilton collaborates with scholars based in United States, United Kingdom and Canada. Shanna Hamilton's co-authors include Dmitry Terentyev, Radmila Terentyeva, Andriy E. Belevych, Richard Clements, Mark A. Tarnopolsky, Tae Yun Kim, Bum‐Rak Choi, Jane Shearer, K. Chorneyko and Jim R. Potvin and has published in prestigious journals such as Circulation Research, The Journal of Physiology and Journal of Applied Physiology.

In The Last Decade

Shanna Hamilton

27 papers receiving 671 citations

Author Peers

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

Author Last Decade Papers Cites
Shanna Hamilton 421 331 95 81 70 29 678
Rakeshwar S. Guleria 405 1.0× 131 0.4× 83 0.9× 38 0.5× 101 1.4× 25 723
Prakash Subramanyam 467 1.1× 224 0.7× 47 0.5× 145 1.8× 110 1.6× 14 791
Tadakatsu Inagaki 263 0.6× 135 0.4× 49 0.5× 58 0.7× 213 3.0× 35 772
Qun Lu 199 0.5× 124 0.4× 65 0.7× 82 1.0× 175 2.5× 40 569
Evelyn M. Kanter 487 1.2× 402 1.2× 50 0.5× 74 0.9× 60 0.9× 25 767
Ning Feng 354 0.8× 261 0.8× 23 0.2× 65 0.8× 132 1.9× 20 724
Cara A. Timpani 577 1.4× 93 0.3× 78 0.8× 48 0.6× 280 4.0× 33 791
Ying‐Ming Liou 246 0.6× 148 0.4× 46 0.5× 125 1.5× 73 1.0× 51 732
Neha Singh 341 0.8× 113 0.3× 43 0.5× 94 1.2× 91 1.3× 36 672
Tsuneaki Homma 249 0.6× 210 0.6× 66 0.7× 32 0.4× 191 2.7× 20 619

Countries citing papers authored by Shanna Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by Shanna Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanna Hamilton

This figure shows the co-authorship network connecting the top 25 collaborators of Shanna Hamilton. A scholar is included among the top collaborators of Shanna Hamilton 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 Shanna Hamilton. Shanna Hamilton 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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