Matthew J. Evans

11.2k total citations · 7 hit papers
75 papers, 8.7k citations indexed

About

Matthew J. Evans is a scholar working on Hepatology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthew J. Evans has authored 75 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Hepatology, 30 papers in Epidemiology and 18 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthew J. Evans's work include Hepatitis C virus research (31 papers), Hepatitis B Virus Studies (23 papers) and Mosquito-borne diseases and control (16 papers). Matthew J. Evans is often cited by papers focused on Hepatitis C virus research (31 papers), Hepatitis B Virus Studies (23 papers) and Mosquito-borne diseases and control (16 papers). Matthew J. Evans collaborates with scholars based in United States, United Kingdom and Panama. Matthew J. Evans's co-authors include Charles M. Rice, Jane A. McKeating, Brett D. Lindenbach, Benno Wölk, Andrew J. Syder, Dennis R. Burton, Maryline Panis, Timothy L. Tellinghuisen, Richard O. Hynes and Toshiaki Maruyama and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew J. Evans

72 papers receiving 8.5k citations

Hit Papers

Complete Replication of Hepatitis C Virus in Cell Culture 2005 2026 2012 2019 2005 2007 2009 2016 2016 500 1000 1.5k

Peers

Matthew J. Evans
Comparison fields: 5 of 130
  • Hepatology 5.0k
  • Epidemiology 4.5k
  • Molecular Biology 2.1k
  • Infectious Diseases 1.4k
  • Public Health, Environmental and Occupational Health 1.3k
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Michinori Kohara Japan View profile →
Citations per field, relative to Matthew J. Evans
Matthew J. Evans · 1×
Citations per year, relative to Matthew J. Evans
Matthew J. Evans · 1×

Countries citing papers authored by Matthew J. Evans

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Evans

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 9
4 4
5 2
6 51
7 79
8 182
9
Zika Virus Targets Human STAT2 to Inhibit Type I Interferon Signaling breakdown →
614
10 22
11 1
12 34
13 71
14 2
15 195
16 124
17 95
18
Claudin-1 is a hepatitis C virus co-receptor required for a late step in entry breakdown →
930
19
Complete Replication of Hepatitis C Virus in Cell Culture breakdown →
1850
20 209

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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