Matthew L. Thomas

29 total papers · 14.7k total citations
12 papers, 632 citations indexed

About

Matthew L. Thomas is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Infectious Diseases. According to data from OpenAlex, Matthew L. Thomas has authored 12 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 5 papers in Environmental Engineering and 2 papers in Infectious Diseases. Recurrent topics in Matthew L. Thomas's work include Air Quality and Health Impacts (7 papers), Air Quality Monitoring and Forecasting (4 papers) and HIV/AIDS Research and Interventions (2 papers). Matthew L. Thomas is often cited by papers focused on Air Quality and Health Impacts (7 papers), Air Quality Monitoring and Forecasting (4 papers) and HIV/AIDS Research and Interventions (2 papers). Matthew L. Thomas collaborates with scholars based in United Kingdom, Switzerland and Canada. Matthew L. Thomas's co-authors include Gavin Shaddick, Sophie Gumy, Pierpaolo Mudu, G Ruggeri, Aaron van Donkelaar, Yang Liu, Amelia Green, Annette Prüss‐Üstün, Aaron Cohen and Michael Bräuer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Environment International.

In The Last Decade

Matthew L. Thomas

10 papers receiving 614 citations

Author Peers

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

Author						Papers	Cites
Matthew L. Thomas	443	195	120	119	86	12	632
Anxu Wang	468 1.1×	222 1.1×	50 0.4×	253 2.1×	114 1.3×	16	749
Tze-Ming Chen	334 0.8×	155 0.8×	69 0.6×	100 0.8×	105 1.2×	7	651
Marianthi-Anna Kioumourtzoglou	603 1.4×	165 0.8×	121 1.0×	106 0.9×	59 0.7×	13	742
Anders C. Erickson	654 1.5×	161 0.8×	170 1.4×	86 0.7×	57 0.7×	30	789
Tonya G. Mason	567 1.3×	199 1.0×	78 0.7×	85 0.7×	55 0.6×	12	692
Changchun Xiao	487 1.1×	147 0.8×	77 0.6×	42 0.4×	49 0.6×	26	659
Robert Tang	583 1.3×	233 1.2×	59 0.5×	62 0.5×	67 0.8×	21	762
Janaki Gokhale	334 0.8×	155 0.8×	69 0.6×	100 0.8×	105 1.2×	11	716
Ming Chu	323 0.7×	90 0.5×	76 0.6×	56 0.5×	43 0.5×	23	754
Fang Wei	466 1.1×	99 0.5×	128 1.1×	121 1.0×	51 0.6×	26	668

Countries citing papers authored by Matthew L. Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Matthew L. Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew L. Thomas

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