Toby P. Thomas

501 citations
7 papers · 217 · h-index 7

Impact in

Papers in

Toby P. Thomas

7 papers receiving 214 citations

Peers

Toby P. Thomas
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 120
  • Molecular Biology 107
  • Cancer Research 18
  • Pathology and Forensic Medicine 21
  • Cellular and Molecular Neuroscience 21
Replace Gema Mondéjar‐Parreño with:
Gema Mondéjar‐Parreño Spain
Denielli da Silva Gonçalves Bós Netherlands
Jin Ma China
Su‐Kiat Chua Taiwan
Sara A. Wennersten United States
Datun Qi China
Pedro A. Sousa Portugal
Yustina M. Puspitasari Switzerland
Yingguang Shan China
Toby P. Thomas relative to Gema Mondéjar‐Parreño Spain Gema Mondéjar‐Parreño's profile →
Citations per field
00.5×1.5×
Gema Mondéjar‐Parreño · 1×
Citations per year

Countries citing papers authored by Toby P. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Toby P. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Toby P. 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 Toby P. Thomas Line = papers co-authored together Toby P. Thomas links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202091
2 201836
3 202027
4 201925
5 201918
6 202114
7 20146

About Toby P. Thomas

Toby P. Thomas is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Surgery and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 217 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (4 papers), Cardiac Ischemia and Reperfusion (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Signaling Pathways in Disease (1 paper), Mechanical Circulatory Support Devices (1 paper), Neuropeptides and Animal Physiology (1 paper), HER2/EGFR in Cancer Research (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (120 citations), Molecular Biology (107 citations), Cancer Research (18 citations), Pathology and Forensic Medicine (21 citations) and Cellular and Molecular Neuroscience (21 citations). Toby P. Thomas has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Laurel A. Grisanti, Miles A. Tanner, Erhe Gao, Douglas G. Tilley, Walter J. Koch, Charles A. Maitz, Claudio de Lucia, Rhonda L. Carter, Jeffrey Benovic and Raffaele Marfella. Their work appears in journals such as Frontiers in Physiology, Theranostics, JCI Insight, Journal of Molecular and Cellular Cardiology and International Journal of Molecular Sciences.

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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