This map shows the geographic impact of Mitch Leslie'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 Mitch Leslie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitch Leslie more than expected).
This network shows the impact of papers produced by Mitch Leslie. 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 Mitch Leslie. The network helps show where Mitch Leslie may publish in the future.
Co-authors
The 2 scholars most cited alongside Mitch Leslie, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Mitch LeslieLine = papers co-authored togetherMitch Leslie links everyone, so they are left out of the graph.
All Works
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Mitch Leslie is a scholar working on Molecular Biology, Cell Biology, Immunology, Oncology and Physiology, having authored 245 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (13 papers), Mitochondrial Function and Pathology (8 papers), Cellular transport and secretion (8 papers), Cellular Mechanics and Interactions (7 papers), Immune Cell Function and Interaction (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Lipid Membrane Structure and Behavior (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Hematology (125 citations), Immunology (227 citations), Aging (16 citations), Molecular Biology (445 citations) and Cancer Research (95 citations). Mitch Leslie has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Spyros Retsas and N. Scott. Their work appears in journals such as Science, The Journal of Cell Biology, Engineering, Science of Aging Knowledge Environment and Cancer Discovery.
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.