Matthew S. Yan

10 total papers · 546 total citations
8 papers, 411 citations indexed

About

Matthew S. Yan is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew S. Yan has authored 8 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew S. Yan's work include Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (4 papers) and Histone Deacetylase Inhibitors Research (2 papers). Matthew S. Yan is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (4 papers) and Histone Deacetylase Inhibitors Research (2 papers). Matthew S. Yan collaborates with scholars based in Canada and United States. Matthew S. Yan's co-authors include Philip A. Marsden, H. S. Jeffrey Man, Jason Ho, Paul J. Turgeon, Charles Matouk, Jason E. Fish, Deepak Srivastava, Rosanne St. Bernard, Jenny Jing Wang and Michael Ohh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Matthew S. Yan

8 papers receiving 408 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew S. Yan 296 206 54 37 31 8 411
Paul J. Turgeon 288 1.0× 231 1.1× 35 0.6× 25 0.7× 21 0.7× 13 401
Akashi Taguchi 252 0.9× 126 0.6× 39 0.7× 27 0.7× 23 0.7× 11 400
Mei Chong 329 1.1× 192 0.9× 42 0.8× 18 0.5× 35 1.1× 9 464
Thomas Hackenbeck 271 0.9× 231 1.1× 52 1.0× 19 0.5× 59 1.9× 12 462
Candi Trac 351 1.2× 226 1.1× 49 0.9× 34 0.9× 45 1.5× 10 467
Johanna Guzman 174 0.6× 93 0.5× 46 0.9× 22 0.6× 22 0.7× 8 431
Marta Fierro‐Fernández 267 0.9× 118 0.6× 41 0.8× 16 0.4× 31 1.0× 13 396
Bupe R. Mwaikambo 265 0.9× 77 0.4× 42 0.8× 25 0.7× 19 0.6× 10 492
Eileen Vesely 325 1.1× 81 0.4× 68 1.3× 63 1.7× 32 1.0× 8 482
Hirofumi Ishii 220 0.7× 81 0.4× 91 1.7× 15 0.4× 42 1.4× 7 432

Countries citing papers authored by Matthew S. Yan

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Yan. 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 Matthew S. Yan. The network helps show where Matthew S. Yan may publish in the future.

Co-authorship network of co-authors of Matthew S. Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Yan. A scholar is included among the top collaborators of Matthew S. Yan 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 Matthew S. Yan. Matthew S. Yan 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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