Matthew B. Frieman

23.3k citations
112 papers · 10.1k indexed · 7 hit papers · h-index 55

Matthew B. Frieman

110 papers receiving 9.9k citations

Hit Papers

Binding and Neutrali...2002006202620122019100200300400500

Peers

Matthew B. Frieman
Comparison fields: 5 of 166
  • Infectious Diseases 7.0k
  • Animal Science and Zoology 1.7k
  • Immunology 1.8k
  • Modeling and Simulation 345
  • Neurology 906
Replace Yusen Zhou with:
Yusen Zhou China
M. Alejandra Tortorici United States
Mark R. Denison United States
Xinquan Wang China
Vineet D. Menachery United States
Daniel Wrapp United States
Alexandra C. Walls United States
Jianhua Sui China
Benjamin W. Neuman United States
Nianshuang Wang United States
Matthew B. Frieman relative to Yusen Zhou China Yusen Zhou's profile →
Citations per field
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Yusen Zhou · 1×
Citations per year

Countries citing papers authored by Matthew B. Frieman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew B. Frieman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Matthew B. Frieman, 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 B. Frieman Line = papers co-authored together Matthew B. Frieman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20239
3 20233
4 20233
5 202312
6 20231
7 20238
8 202230
9 202216
10 202233
11 202142
12 20213
13 202151
14 202037
15 201646
16 2015172
17
Antiviral Potential of ERK/MAPK and PI3K/AKT/mTOR Signaling Modulation for Middle East Respiratory Syndrome Coronavirus Infection as Identified by Temporal Kinome Analysisbreakdown →
2014307
18 2009293
19 2009137
20 2008112

About Matthew B. Frieman

Matthew B. Frieman is a scholar working on Infectious Diseases, Animal Science and Zoology and Modeling and Simulation, having authored 112 papers that have together received 10.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (72 papers), COVID-19 Clinical Research Studies (29 papers), Animal Virus Infections Studies (26 papers), Viral gastroenteritis research and epidemiology (16 papers), interferon and immune responses (15 papers), Respiratory viral infections research (10 papers), Viral Infections and Outbreaks Research (10 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Infectious Diseases (7.0k citations), Animal Science and Zoology (1.7k citations) and Immunology (1.8k citations). Matthew B. Frieman has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Christopher M. Coleman, Ralph S. Baric, Peter Palese, Sarah A. Kopecky-Bromberg, Mark T. Heise, Thiagarajan Venkataraman, Kirsten Kulcsar, Boyd L. Yount, Ketan Dighe and Parikshit Moitra. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Nature Communications.

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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