Matthew Brown

33 total papers · 827 total citations
22 papers, 540 citations indexed

About

Matthew Brown is a scholar working on Epidemiology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthew Brown has authored 22 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Oncology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthew Brown's work include Global Health and Surgery (5 papers), Polyomavirus and related diseases (3 papers) and Global Security and Public Health (3 papers). Matthew Brown is often cited by papers focused on Global Health and Surgery (5 papers), Polyomavirus and related diseases (3 papers) and Global Security and Public Health (3 papers). Matthew Brown collaborates with scholars based in United States, United Kingdom and China. Matthew Brown's co-authors include Freddie Bray, Wanqing Chen, Jie He, Peter M. Howley, Lijun Wang, Tim K. Mackey, Ahmedin Jemal, Kexin Sun, Farhad Islami and Rongshou Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

Matthew Brown

22 papers receiving 480 citations

Author Peers

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

Author						Papers	Cites
Matthew Brown	185	109	74	69	60	22	540
Atar Baer	41 0.2×	238 2.2×	68 0.9×	66 1.0×	40 0.7×	24	462
Honglin Jiang	121 0.7×	54 0.5×	102 1.4×	41 0.6×	52 0.9×	38	491
Rajneesh Kumar Joshi	46 0.2×	76 0.7×	59 0.8×	91 1.3×	114 1.9×	38	512
Anirban Mukherjee	48 0.3×	150 1.4×	261 3.5×	19 0.3×	93 1.6×	39	556
Andrea Marongiu	108 0.6×	199 1.8×	81 1.1×	74 1.1×	76 1.3×	52	577
Mostafa Eltobgy	69 0.4×	112 1.0×	116 1.6×	46 0.7×	12 0.2×	25	470
Isaac R. Rodriguez‐Chavez	157 0.8×	144 1.3×	95 1.3×	64 0.9×	122 2.0×	19	585
Aisha Khan	42 0.2×	62 0.6×	39 0.5×	63 0.9×	115 1.9×	44	587
Daniele Giardiello	187 1.0×	48 0.4×	44 0.6×	48 0.7×	34 0.6×	25	486
Zhengwei Wan	110 0.6×	118 1.1×	97 1.3×	65 0.9×	77 1.3×	38	488

Countries citing papers authored by Matthew Brown

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Brown

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