Michelle L. Pleet

40 total papers · 735 total citations
24 papers, 474 citations indexed

About

Michelle L. Pleet is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Michelle L. Pleet has authored 24 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Infectious Diseases and 6 papers in Virology. Recurrent topics in Michelle L. Pleet's work include Extracellular vesicles in disease (12 papers), HIV Research and Treatment (6 papers) and Viral Infections and Vectors (5 papers). Michelle L. Pleet is often cited by papers focused on Extracellular vesicles in disease (12 papers), HIV Research and Treatment (6 papers) and Viral Infections and Vectors (5 papers). Michelle L. Pleet collaborates with scholars based in United States, France and South Africa. Michelle L. Pleet's co-authors include Catherine DeMarino, Fatah Kashanchi, Benjamin Lepene, Nazira El‐Hage, M. Javad Aman, Daniel O. Pinto, Robert A. Barclay, Myosotys Rodriguez, Heather Branscome and Maria Cowen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Michelle L. Pleet

24 papers receiving 473 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 L. Pleet 300 164 124 84 77 24 474
Christina L. Rootes 177 0.6× 240 1.5× 95 0.8× 109 1.3× 98 1.3× 18 486
Caroline Vanhulle 187 0.6× 173 1.1× 148 1.2× 45 0.5× 54 0.7× 16 447
Xiaobing He 202 0.7× 52 0.3× 187 1.5× 121 1.4× 124 1.6× 30 502
Maolin Zhang 210 0.7× 90 0.5× 174 1.4× 110 1.3× 136 1.8× 23 438
M. Kakinuma 172 0.6× 63 0.4× 205 1.7× 92 1.1× 36 0.5× 25 498
Grace Bushar 150 0.5× 96 0.6× 195 1.6× 84 1.0× 31 0.4× 18 500
Maxime Chazal 135 0.5× 241 1.5× 182 1.5× 80 1.0× 32 0.4× 21 498
Sanjay Sarkar 112 0.4× 240 1.5× 90 0.7× 109 1.3× 32 0.4× 26 513
Takaharu Ueno 128 0.4× 68 0.4× 221 1.8× 113 1.3× 30 0.4× 27 457
Katrina B. Mar 201 0.7× 187 1.1× 217 1.8× 118 1.4× 33 0.4× 14 506

Countries citing papers authored by Michelle L. Pleet

Since Specialization
Citations

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

Fields of papers citing papers by Michelle L. Pleet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle L. Pleet

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