Mathew J. Platt

33 total papers · 773 total citations
14 papers, 612 citations indexed

About

Mathew J. Platt is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Mathew J. Platt has authored 14 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 2 papers in Surgery. Recurrent topics in Mathew J. Platt's work include Cardiovascular Function and Risk Factors (4 papers), Cardiovascular and exercise physiology (2 papers) and Adipose Tissue and Metabolism (2 papers). Mathew J. Platt is often cited by papers focused on Cardiovascular Function and Risk Factors (4 papers), Cardiovascular and exercise physiology (2 papers) and Adipose Tissue and Metabolism (2 papers). Mathew J. Platt collaborates with scholars based in Canada, United States and Japan. Mathew J. Platt's co-authors include Jeremy A. Simpson, Susan E. Quaggin, Peter H. Backx, Susumu Seino, Daniel J. Drucker, Tadao Shibasaki, Minsuk Kim, Jason S. Huber, Keith R. Brunt and Peihua Lu and has published in prestigious journals such as Nature Medicine, Nature Communications and The FASEB Journal.

In The Last Decade

Mathew J. Platt

14 papers receiving 603 citations

Hit Papers

GLP-1 receptor activation... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Mathew J. Platt 321 225 181 151 83 14 612
Lucília M. A. Lessa 324 1.0× 257 1.1× 74 0.4× 134 0.9× 68 0.8× 15 621
Nobuo Kajitani 338 1.1× 168 0.7× 68 0.4× 161 1.1× 63 0.8× 10 639
Philipp Welschof 428 1.3× 225 1.0× 126 0.7× 228 1.5× 112 1.3× 9 656
Hyun Wha Chung 212 0.7× 227 1.0× 78 0.4× 128 0.8× 80 1.0× 13 573
Nathalie Lapointe 223 0.7× 212 0.9× 302 1.7× 119 0.8× 101 1.2× 20 611
Ryo Kodera 370 1.2× 169 0.8× 65 0.4× 188 1.2× 58 0.7× 16 646
Anna Di Martino 300 0.9× 239 1.1× 185 1.0× 158 1.0× 81 1.0× 13 624
Gaetana Albanese 300 0.9× 239 1.1× 185 1.0× 154 1.0× 81 1.0× 11 612
Elena Zinßius 279 0.9× 212 0.9× 108 0.6× 135 0.9× 138 1.7× 7 596
H. Steinberg 270 0.8× 163 0.7× 215 1.2× 94 0.6× 210 2.5× 10 669

Countries citing papers authored by Mathew J. Platt

Since Specialization
Citations

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

Fields of papers citing papers by Mathew J. Platt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathew J. Platt. 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 Mathew J. Platt. The network helps show where Mathew J. Platt may publish in the future.

Co-authorship network of co-authors of Mathew J. Platt

This figure shows the co-authorship network connecting the top 25 collaborators of Mathew J. Platt. A scholar is included among the top collaborators of Mathew J. Platt 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 Mathew J. Platt. Mathew J. Platt 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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