Matthew S. Miller

8.4k citations
134 papers · 5.1k indexed · 1 hit paper · h-index 37
Topics
Influenza Virus Research Studies (39 papers)SARS-CoV-2 and COVID-19 Research (24 papers)Respiratory viral infections research (23 papers)

In The Last Decade

Matthew S. Miller

127 papers receiving 5.0k citations

Hit Papers

Immunological considerations for COVID-19 vaccine strategies20202026202220242020200400600

Peers

Matthew S. Miller
Comparison fields: 5 of 162
  • Epidemiology 1.5k
  • Infectious Diseases 1.5k
  • Molecular Biology 1.4k
  • Immunology 1.1k
  • Cellular and Molecular Neuroscience 531
Replace J. Kenneth Baillie with:
J. Kenneth Baillie United Kingdom
Chung Yan Cheung Hong Kong
Anis Larbi Singapore
Michael Haber United States
Pio Conti Italy
Beatrix Grubeck‐Loebenstein Austria
Mark T. Drayson United Kingdom
Thomas M. Moran United States
Magnus Gisslén Sweden
Kazuya Shirato Japan
Matthew S. Miller relative to J. Kenneth Baillie United Kingdom J. Kenneth Baillie's profile →
Citations per field
00.5×2.7×
J. Kenneth Baillie · 1×
Citations per year

Countries citing papers authored by Matthew S. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew S. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Miller. A scholar is included among the top collaborators of Matthew S. Miller 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 S. Miller. Matthew S. Miller 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
#WorkIndexed citations
1 1
2 0
3 9
4 22
5 5
6 1
7 2
8 16
9 10
10 10
11 38
12 27
13 3
14 17
15 12
16 8
17 11
18 28
19 125
20 21

About Matthew S. Miller

Matthew S. Miller is a scholar working on Modeling and Simulation, Infectious Diseases and Immunology, having authored 134 papers that have together received 5.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (39 papers), SARS-CoV-2 and COVID-19 Research (24 papers) and Respiratory viral infections research (23 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Immunology (1.1k citations) and Modeling and Simulation (231 citations). Matthew S. Miller has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Thomas F. Burks, Peter Palese, Sam Afkhami, Zhou Xing, Brian D. Lichty, Mangalakumari Jeyanathan, Fiona Smaill, Caitlin E. Mullarkey, Florian Krammer and James J. Galligan. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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