Michael Smith

3.3k citations
12 papers · 108 indexed · h-index 7
Topics
SARS-CoV-2 and COVID-19 Research (3 papers)Influenza Virus Research Studies (2 papers)Vaccine Coverage and Hesitancy (2 papers)
Journals
SHILAP Revista de lepidopterologíaEmerging infectious diseasesBMJ Open

In The Last Decade

Michael Smith

12 papers receiving 105 citations

Peers

Michael Smith
Comparison fields: 5 of 53
  • Health 38
  • Infectious Diseases 37
  • Epidemiology 28
  • Pollution 13
  • Sociology and Political Science 11
Replace Derly Andrade-Molina with:
Derly Andrade-Molina Ecuador
Rachel Severson United States
Safayet Jamil Bangladesh
Oladipo Ogunbode Nigeria
Joshua Arthur Ghana
Parvati Nair United Kingdom
Jacopo Garlasco Italy
Emily Beales United Kingdom
A. S. M. Roknuzzaman Bangladesh
María Elena Ceballos Chile
Michael Smith relative to Derly Andrade-Molina Ecuador Derly Andrade-Molina's profile →
Citations per field
00.5×6.5×
Derly Andrade-Molina · 1×
Citations per year

Countries citing papers authored by Michael Smith

Since Specialization
Citations

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

Fields of papers citing papers by Michael Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Smith

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4 1
5 7
6 7
7 19
8 7
9 14
10 15
11 32
12 1

About Michael Smith

Michael Smith is a scholar working on Applied Microbiology and Biotechnology, Occupational Therapy and Health, having authored 12 papers that have together received 108 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Influenza Virus Research Studies (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (10 citations), Health (38 citations) and Modeling and Simulation (11 citations). Michael Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Christopher B. Miller, Ronan E. O’Carroll, Noah C. Venables, Gloria R. Leon, Sara Kim, Emily T. Martin, Brendan Flannery, Manish Patel, Karen C. Johnston and Lisa A. Jackson. Their work appears in journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and BMJ Open.

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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