Matthew S. Coates

1.7k citations
27 papers · 1.3k · h-index 13

Impact in

Papers in

Matthew S. Coates

26 papers receiving 1.3k citations

Peers

Matthew S. Coates
Comparison fields: 5 of 98
  • Pulmonary and Respiratory Medicine 756
  • Computational Mechanics 284
  • Pharmaceutical Science 69
  • Infectious Diseases 182
  • Food Science 176
Replace Laurent Vecellio with:
Laurent Vecellio France
Laleh Golshahi United States
Joerg Lindemann Germany
Itzı́ar González Spain
Phillip M. Lovalenti United States
Richard Leiacker Germany
Mozammal Hossain Japan
Geneviève Beck France
Satheesh K. Sivasubramani United States
Kumar Pallav United States
Matthew S. Coates relative to Laurent Vecellio France Laurent Vecellio's profile →
Citations per field
00.5×2×4×6.5×
Laurent Vecellio · 1×
Citations per year

Countries citing papers authored by Matthew S. Coates

Since Specialization
Citations

This map shows the geographic impact of Matthew S. Coates'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. Coates 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. Coates more than expected).

Fields of papers citing papers by Matthew S. Coates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021227
2 2004181
3 2005162
4 2006124
5 2007107
6 2005100
7 201889
8 200768
9 201748
10 202035
11 201834
12 201733
13 201720
14 202113
15 202213
16 202312
17 202110
18 20069
19 20229
20 20239

About Matthew S. Coates

Matthew S. Coates is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases, Computational Mechanics and Molecular Medicine, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Respiratory viral infections research (10 papers), Inhalation and Respiratory Drug Delivery (7 papers), Granular flow and fluidized beds (2 papers), Cystic Fibrosis Research Advances (2 papers), Nuclear physics research studies (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Congenital Diaphragmatic Hernia Studies (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (756 citations), Computational Mechanics (284 citations), Pharmaceutical Science (69 citations), Infectious Diseases (182 citations) and Food Science (176 citations). Matthew S. Coates has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Hak‐Kim Chan, David Frederick Fletcher, Judy A Raper, Herbert Chiou, Kazuhiro Ito, Garth Rapeport, Aibing Yu, Lindsey Cass, Runyu Yang and Ryan S. Thwaites. Their work appears in journals such as Pharmaceutical Research, Journal of Pharmaceutical Sciences, The Journal of Infectious Diseases, Viruses and American Journal of Respiratory and Critical Care Medicine.

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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