Leslie M. Mayo-Smith

665 citations
12 papers · 390 indexed · h-index 11
Topics
Vibrio bacteria research studies (10 papers)Escherichia coli research studies (4 papers)Aquaculture disease management and microbiota (3 papers)

In The Last Decade

Leslie M. Mayo-Smith

12 papers receiving 381 citations

Peers

Leslie M. Mayo-Smith
Comparison fields: 5 of 66
  • Endocrinology 175
  • Molecular Biology 149
  • Genetics 111
  • Epidemiology 57
  • Ecology 53
Replace Arti Mishra with:
Arti Mishra India
Crystal N. Ellis United States
Bradford P. Taylor United States
Rebecca J. Malott Canada
Emilio Siena Italy
James M. Pruckler United States
Kimberly R. Davis United States
Christina L. Cordero United States
Peter J. Flynn United States
Miriam Ramliden Sweden
Leslie M. Mayo-Smith relative to Arti Mishra India Arti Mishra's profile →
Citations per field
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Arti Mishra · 1×
Citations per year

Countries citing papers authored by Leslie M. Mayo-Smith

Since Specialization
Citations

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

Fields of papers citing papers by Leslie M. Mayo-Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie M. Mayo-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 Leslie M. Mayo-Smith. The network helps show where Leslie M. Mayo-Smith may publish in the future.

Co-authorship network of co-authors of Leslie M. Mayo-Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie M. Mayo-Smith. A scholar is included among the top collaborators of Leslie M. Mayo-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 Leslie M. Mayo-Smith. Leslie M. Mayo-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 7
2 32
3 19
4 22
5 10
6 13
7 13
8 51
9 39
10 35
11 10
12 139

About Leslie M. Mayo-Smith

Leslie M. Mayo-Smith is a scholar working on Endocrinology, Immunology and Modeling and Simulation, having authored 12 papers that have together received 390 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (10 papers), Escherichia coli research studies (4 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Endocrinology (175 citations), Molecular Medicine (43 citations) and Genetics (111 citations). Leslie M. Mayo-Smith has collaborated with scholars based in United States, Bangladesh and Canada. Frequent co-authors include Vaughn S. Cooper, Charles C. Traverse, Jason B. Harris, Edward T. Ryan, Stephen B. Calderwood, Crystal N. Ellis, Louise C. Ivers, Firdausi Qadri, Richelle C. Charles and Molly F. Franke. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Evolution.

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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