Michelle D. Leach

48 total papers · 1.7k total citations
23 papers, 1.3k citations indexed

About

Michelle D. Leach is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Michelle D. Leach has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Infectious Diseases and 8 papers in Epidemiology. Recurrent topics in Michelle D. Leach's work include Antifungal resistance and susceptibility (14 papers), Fungal Infections and Studies (8 papers) and Fungal and yeast genetics research (8 papers). Michelle D. Leach is often cited by papers focused on Antifungal resistance and susceptibility (14 papers), Fungal Infections and Studies (8 papers) and Fungal and yeast genetics research (8 papers). Michelle D. Leach collaborates with scholars based in United Kingdom, Canada and United States. Michelle D. Leach's co-authors include Leah E. Cowen, Alistair J. P. Brown, Nicole Robbins, Susan Budge, Edda Klipp, David Stead, Susan M. Nicholls, Louise A. Walker, Iryna Bohovych and Evelyn Argo and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Reviews Microbiology.

In The Last Decade

Michelle D. Leach

23 papers receiving 1.3k 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 D. Leach 732 686 472 251 152 23 1.3k
Susan M. Nicholls 660 0.9× 678 1.0× 489 1.0× 182 0.7× 153 1.0× 32 1.4k
D. Kerridge 673 0.9× 757 1.1× 429 0.9× 332 1.3× 208 1.4× 43 1.7k
Gwyneth Bertram 1.1k 1.5× 807 1.2× 534 1.1× 265 1.1× 155 1.0× 17 1.7k
Cathy Collins 734 1.0× 713 1.0× 449 1.0× 143 0.6× 116 0.8× 22 1.6k
Gloria Molero 626 0.9× 772 1.1× 516 1.1× 201 0.8× 179 1.2× 42 1.4k
M. S. Marriott 389 0.5× 502 0.7× 373 0.8× 135 0.5× 108 0.7× 33 1.2k
Stephanie Diezmann 457 0.6× 549 0.8× 630 1.3× 321 1.3× 130 0.9× 16 1.2k
Teresa R. O’Meara 614 0.8× 1.2k 1.7× 1.1k 2.3× 455 1.8× 132 0.9× 37 1.8k
Ed T. Buurman 1.1k 1.5× 532 0.8× 437 0.9× 237 0.9× 80 0.5× 46 1.8k
David Stead 642 0.9× 427 0.6× 260 0.6× 171 0.7× 238 1.6× 40 1.5k

Countries citing papers authored by Michelle D. Leach

Since Specialization
Citations

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

Fields of papers citing papers by Michelle D. Leach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle D. Leach

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle D. Leach. A scholar is included among the top collaborators of Michelle D. Leach 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 D. Leach. Michelle D. Leach 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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