Matthew H. Secrest

38 total papers · 553 total citations
18 papers, 402 citations indexed

About

Matthew H. Secrest is a scholar working on Oncology, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Matthew H. Secrest has authored 18 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Pollution and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Matthew H. Secrest's work include Diabetes Treatment and Management (3 papers), Energy and Environment Impacts (3 papers) and Air Quality and Health Impacts (3 papers). Matthew H. Secrest is often cited by papers focused on Diabetes Treatment and Management (3 papers), Energy and Environment Impacts (3 papers) and Air Quality and Health Impacts (3 papers). Matthew H. Secrest collaborates with scholars based in Canada, United States and Switzerland. Matthew H. Secrest's co-authors include Kristian B. Filion, Jill Baumgartner, James J. Schauer, Ellison Carter, Xudong Yang, Alexandra Lai, Pascal Reynier, Bettina Habib, Mark J. Eisenberg and Jacob A. Udell and has published in prestigious journals such as Environmental Science & Technology, Blood and The Science of The Total Environment.

In The Last Decade

Matthew H. Secrest

18 papers receiving 397 citations

Hit Papers

Tiragolumab in combinatio... 2025 2026 2025 5 10 15 20

Author Peers

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

Author Last Decade Papers Cites
Matthew H. Secrest 148 106 78 55 52 18 402
Hanyang Lin 82 0.6× 38 0.4× 84 1.1× 20 0.4× 45 0.9× 10 365
Wen-Yeh Hsieh 199 1.3× 42 0.4× 54 0.7× 33 0.6× 15 0.3× 8 392
Claire Sampankanpanich Soria 113 0.8× 51 0.5× 149 1.9× 28 0.5× 39 0.8× 22 367
Limin Wang 99 0.7× 19 0.2× 26 0.3× 68 1.2× 57 1.1× 11 366
Zhenyu Wu 134 0.9× 31 0.3× 50 0.6× 22 0.4× 75 1.4× 48 430
Emma Coady 55 0.4× 36 0.3× 46 0.6× 167 3.0× 82 1.6× 14 414
Dian He 103 0.7× 27 0.3× 19 0.2× 37 0.7× 41 0.8× 28 372
Qin Zhou 218 1.5× 22 0.2× 37 0.5× 13 0.2× 44 0.8× 24 438
Lucia Bisceglia 134 0.9× 27 0.3× 83 1.1× 74 1.3× 37 0.7× 54 410
Yang Fu 179 1.2× 56 0.5× 23 0.3× 38 0.7× 17 0.3× 16 353

Countries citing papers authored by Matthew H. Secrest

Since Specialization
Citations

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

Fields of papers citing papers by Matthew H. Secrest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew H. Secrest

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