Michelle Swimley

14 total papers · 466 total citations
9 papers, 358 citations indexed

About

Michelle Swimley is a scholar working on Endocrinology, Infectious Diseases and Ecology. According to data from OpenAlex, Michelle Swimley has authored 9 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, 6 papers in Infectious Diseases and 3 papers in Ecology. Recurrent topics in Michelle Swimley's work include Escherichia coli research studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and Bacteriophages and microbial interactions (3 papers). Michelle Swimley is often cited by papers focused on Escherichia coli research studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and Bacteriophages and microbial interactions (3 papers). Michelle Swimley collaborates with scholars based in United States, Canada and Argentina. Michelle Swimley's co-authors include Beatriz Quiñones, Robert E. Mandrell, Ken Teter, Mendel Friedman, Shane Massey, Michael B. Cooley, Edith Pierre-Jerome, Edward R. Atwill, Michele T. Jay‐Russell and Samarpita Walker and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Michelle Swimley

9 papers receiving 356 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michelle Swimley 249 176 118 86 52 9 358
Wiebke Streckel 177 0.7× 109 0.6× 189 1.6× 72 0.8× 53 1.0× 9 326
M.P. Dibb-Fuller 209 0.8× 161 0.9× 231 2.0× 86 1.0× 64 1.2× 10 377
Anna C. Noller 200 0.8× 115 0.7× 141 1.2× 56 0.7× 51 1.0× 5 330
Ingela Hedenström 213 0.9× 117 0.7× 166 1.4× 40 0.5× 41 0.8× 13 366
Gian Marco Baranzoni 177 0.7× 95 0.5× 110 0.9× 55 0.6× 68 1.3× 15 298
Inger Løbersli 214 0.9× 173 1.0× 94 0.8× 54 0.6× 127 2.4× 11 395
Sylvia M. Scotland 351 1.4× 197 1.1× 108 0.9× 67 0.8× 32 0.6× 12 385
Takayuki Kurazono 218 0.9× 105 0.6× 228 1.9× 46 0.5× 74 1.4× 20 360
Jacqueline W. Louie 225 0.9× 114 0.6× 85 0.7× 91 1.1× 97 1.9× 9 345
Virginia Aquili 88 0.4× 126 0.7× 123 1.0× 186 2.2× 61 1.2× 13 321

Countries citing papers authored by Michelle Swimley

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Swimley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Swimley

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

All Works

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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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