Chad M. Paton

93 total papers · 2.3k total citations
66 papers, 1.7k citations indexed

About

Chad M. Paton is a scholar working on Nutrition and Dietetics, Physiology and Cell Biology. According to data from OpenAlex, Chad M. Paton has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Nutrition and Dietetics, 27 papers in Physiology and 15 papers in Cell Biology. Recurrent topics in Chad M. Paton's work include Nuts composition and effects (16 papers), Diet and metabolism studies (15 papers) and Muscle metabolism and nutrition (15 papers). Chad M. Paton is often cited by papers focused on Nuts composition and effects (16 papers), Diet and metabolism studies (15 papers) and Muscle metabolism and nutrition (15 papers). Chad M. Paton collaborates with scholars based in United States, United Kingdom and Canada. Chad M. Paton's co-authors include James M. Ntambi, Jamie A. Cooper, Matthew T. Flowers, Alexis Stamatikos, Harini Sampath, Xueqing Liu, Minghui Zhao, Kiki Chu, James M. Hagberg and Ruth Sullivan and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Physiology.

In The Last Decade

Chad M. Paton

61 papers receiving 1.6k citations

Hit Papers

Biochemical and physiolog... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Chad M. Paton 558 499 470 250 238 66 1.7k
Cathérine Mounier 1.0k 1.8× 426 0.9× 254 0.5× 237 0.9× 333 1.4× 66 2.1k
Hitomi Fukuda 587 1.1× 498 1.0× 321 0.7× 200 0.8× 152 0.6× 53 1.4k
Natalie A. Mellett 850 1.5× 532 1.1× 181 0.4× 156 0.6× 151 0.6× 68 1.9k
So Young Bu 639 1.1× 402 0.8× 199 0.4× 302 1.2× 116 0.5× 52 1.5k
Yang Song 739 1.3× 453 0.9× 302 0.6× 293 1.2× 205 0.9× 68 2.3k
Arild C. Rustan 737 1.3× 679 1.4× 312 0.7× 273 1.1× 92 0.4× 57 1.5k
Jonatan Miranda 485 0.9× 652 1.3× 454 1.0× 97 0.4× 184 0.8× 63 2.0k
Christopher A. Jolly 770 1.4× 411 0.8× 461 1.0× 349 1.4× 131 0.6× 58 1.9k
Sukhinder Kaur Cheema 601 1.1× 401 0.8× 582 1.2× 192 0.8× 85 0.4× 79 1.7k
Silvia Lorente‐Cebrián 833 1.5× 909 1.8× 514 1.1× 209 0.8× 500 2.1× 50 2.3k

Countries citing papers authored by Chad M. Paton

Since Specialization
Citations

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

Fields of papers citing papers by Chad M. Paton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad M. Paton

This figure shows the co-authorship network connecting the top 25 collaborators of Chad M. Paton. A scholar is included among the top collaborators of Chad M. Paton 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 Chad M. Paton. Chad M. Paton 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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