Matthew Kay

35 total papers · 731 total citations
21 papers, 381 citations indexed

About

Matthew Kay is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Matthew Kay has authored 21 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Animal Science and Zoology. Recurrent topics in Matthew Kay's work include Cancer-related molecular mechanisms research (2 papers), Adipose Tissue and Metabolism (2 papers) and Animal Virus Infections Studies (2 papers). Matthew Kay is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), Adipose Tissue and Metabolism (2 papers) and Animal Virus Infections Studies (2 papers). Matthew Kay collaborates with scholars based in United States, China and Qatar. Matthew Kay's co-authors include Mahua Choudhury, Ravi Sonkar, Robert McLean, Gary M. Aron, Naïma Moustaïd‐Moussa, Md Mizanur Rahman, Fazle Hussain, Ahmed Al‐Harrasi, Shaikh Mizanoor Rahman and Min-Hee Kang and has published in prestigious journals such as Applied and Environmental Microbiology, International Journal of Molecular Sciences and Emerging infectious diseases.

In The Last Decade

Matthew Kay

19 papers receiving 376 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 Kay 146 82 70 58 39 21 381
Andrew Draghi 108 0.7× 37 0.5× 158 2.3× 34 0.6× 119 3.1× 16 438
Qiang Sun 150 1.0× 116 1.4× 27 0.4× 32 0.6× 36 0.9× 30 352
Askarbek Orakov 244 1.7× 138 1.7× 17 0.2× 25 0.4× 13 0.3× 11 389
Yingxin Wei 99 0.7× 17 0.2× 48 0.7× 79 1.4× 39 1.0× 26 337
Timothy Hamerly 177 1.2× 33 0.4× 101 1.4× 25 0.4× 12 0.3× 21 364
Jeff Gauthier 187 1.3× 38 0.5× 73 1.0× 20 0.3× 21 0.5× 27 428
Elisa Lazzeri 160 1.1× 43 0.5× 37 0.5× 17 0.3× 37 0.9× 17 372
Than S. Kyaw 175 1.2× 62 0.8× 64 0.9× 36 0.6× 8 0.2× 21 366
Siddhika Pareek 189 1.3× 46 0.6× 59 0.8× 25 0.4× 10 0.3× 17 336
P S MacWilliams 78 0.5× 27 0.3× 61 0.9× 36 0.6× 31 0.8× 26 445

Countries citing papers authored by Matthew Kay

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Kay. A scholar is included among the top collaborators of Matthew Kay 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 Kay. Matthew Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026