Suma A. Thomas

904 citations
5 papers · 463 · h-index 5

Impact in

Papers in

Suma A. Thomas

5 papers receiving 458 citations

Peers

Suma A. Thomas
Comparison fields: 5 of 82
  • Health Informatics 20
  • Cardiology and Cardiovascular Medicine 239
  • Health Information Management 13
  • Molecular Biology 190
  • Cellular and Molecular Neuroscience 36
Replace Fayzan Chaudhry with:
Fayzan Chaudhry United States
Muyang Yan China
Jia Qiu China
Veronique M.F. Meijborg Netherlands
Sven Kaese Germany
Moninder Bhogal United Kingdom
Kirsi Majamaa‐Voltti Finland
Jameel Ahmed United States
Fernando E.S. Cruz Netherlands
Stefan van Duijvenboden United Kingdom
Suma A. Thomas relative to Fayzan Chaudhry United States Fayzan Chaudhry's profile →
Citations per field
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Fayzan Chaudhry · 1×
Citations per year

Countries citing papers authored by Suma A. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Suma A. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suma A. Thomas. 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 Suma A. Thomas. The network helps show where Suma A. Thomas may publish in the future.

Co-authors

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

All Works

About Suma A. Thomas

Suma A. Thomas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Complementary and Manual Therapy, having authored 5 papers that have together received 463 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Connexins and lens biology (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Vitamin C and Antioxidants Research (1 paper), Neuroscience and Neural Engineering (1 paper), Vitamin D Research Studies (1 paper), Ion channel regulation and function (1 paper) and Therapeutic Uses of Natural Elements (1 paper). The work is most often cited by research in Health Informatics (20 citations), Cardiology and Cardiovascular Medicine (239 citations), Health Information Management (13 citations), Molecular Biology (190 citations) and Cellular and Molecular Neuroscience (36 citations). Suma A. Thomas has collaborated with scholars based in United States and Croatia. Frequent co-authors include Jeffrey E. Saffitz, Richard B. Schuessler, Eric C. Beyer, Michael E. Mendelsohn, Charles I. Berul, Michael A. Beardslee, Stuart P. Thomas, André G. Kléber, Seth R. Bauer and Mintu P. Turakhia. Their work appears in journals such as Circulation, Circulation Research, Circulation Arrhythmia and Electrophysiology, Journal of Cardiovascular Electrophysiology and Cleveland Clinic Journal of Medicine.

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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