Matthew Brown

816 citations
21 papers · 530 · h-index 12

Impact in

  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology
    • Polyomavirus and related diseases
    • Global Cancer Incidence and Screening

Papers in

Matthew Brown

21 papers receiving 476 citations

Peers

Matthew Brown
Comparison fields: 5 of 98
  • Hepatology 50
  • Oncology 133
  • Health 22
  • Epidemiology 85
  • Virology 10
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Jingjun Qiu United States
Primus Che Kenya
A Lanier United States
Raman Verma United Kingdom
Lawrence Wang United States
Yang Deng China
Zhenggang Jiang China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Matthew Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Brown Line = papers co-authored together Matthew Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019209
2 197640
3 200934
4 197733
5 202032
6 202030
7 197423
8 200222
9 200920
10 201917
11 200113
12 202112
13 201811
14
Bridging Public Health and Foreign Affairs: The Tradecraft of Global Health Diplomacy and the Role of Health Attachés
201410
15 20206
16
Radiation sensitivity modification by chemotherapeutic agents.
19815
17 20234
18 20194
19
Intersection of diplomacy and public health: The role of health attaches in the United States government's global engagement
20132
20 20192

About Matthew Brown

Matthew Brown is a scholar working on Oncology, Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 21 papers that have together received 530 indexed citations. Recurring topics across this work include Global Health and Surgery (3 papers), Polyomavirus and related diseases (3 papers), Hepatitis B Virus Studies (2 papers), Viral Infections and Immunology Research (2 papers), DNA Repair Mechanisms (1 paper), Online and Blended Learning (1 paper), Protein Degradation and Inhibitors (1 paper) and Global Health Workforce Issues (1 paper). The work is most often cited by research in Hepatology (50 citations), Oncology (133 citations), Health (22 citations), Epidemiology (85 citations) and Virology (10 citations). Matthew Brown has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Zhixun Yang, Kexin Sun, Chunqing Lin, Jie He, Farhad Islami, Rongshou Zheng, Freddie Bray, Siwei Zhang, Ahmedin Jemal and Wanqing Chen. Their work appears in journals such as The Lancet Global Health, Frontiers in Public Health, PLoS ONE, Journal of Digital Learning in Teacher Education and Proceedings of the National Academy of Sciences.

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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