Michael A. Martin

1.9k citations
28 papers · 993 indexed · 1 hit paper · h-index 12
Topics
SARS-CoV-2 and COVID-19 Research (6 papers)COVID-19 epidemiological studies (6 papers)Viral Infections and Outbreaks Research (4 papers)

In The Last Decade

Michael A. Martin

26 papers receiving 944 citations

Hit Papers

The changing epidemiology of SARS-CoV-22022202620232024202250100150

Peers

Michael A. Martin
Comparison fields: 5 of 139
  • Infectious Diseases 478
  • Epidemiology 253
  • Public Health, Environmental and Occupational Health 231
  • Modeling and Simulation 140
  • Clinical Biochemistry 138
Replace Matthew J. Hepburn with:
Matthew J. Hepburn United States
Chang Kyung Kang South Korea
Jay B. Varkey United States
Raúl Ortíz de Lejarazu Spain
Neil M. Vora United States
Benoît Visseaux France
Zack Moore United States
Kalliopi Theodoridou Greece
Niranjan Bhat United States
Art Reingold United States
Michael A. Martin relative to Matthew J. Hepburn United States Matthew J. Hepburn's profile →
Citations per field
00.5×1.5×2.3×
Matthew J. Hepburn · 1×
Citations per year

Countries citing papers authored by Michael A. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Martin. 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 Michael A. Martin. The network helps show where Michael A. Martin may publish in the future.

Co-authorship network of co-authors of Michael A. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Martin. A scholar is included among the top collaborators of Michael A. Martin 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 Michael A. Martin. Michael A. Martin 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 2
2 8
3 1
4 11
5 6
6 6
7 2
8
The changing epidemiology of SARS-CoV-2breakdown →
177
9 34
10 89
11 0
12 5
13 17
14 3
15
Aboriginal Fisheries of the Lower Columbia River
5
16 109
17 6
18 292
19 12
20 3

About Michael A. Martin

Michael A. Martin is a scholar working on Modeling and Simulation, Infectious Diseases and Transplantation, having authored 28 papers that have together received 993 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Modeling and Simulation (140 citations), Infectious Diseases (478 citations) and Clinical Biochemistry (138 citations). Michael A. Martin has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Katia Koelle, Ben Lopman, Rustom Antia, Natalie E. Dean, Manette T. Niu, Theodore F. Tsai, David VanInsberghe, Robert T. Chen, Martín S. Cetron and Gina T. Mootrey. Their work appears in journals such as Science, New England Journal of Medicine 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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