Michelle S. Levine

37 total papers · 1.0k total citations
13 papers, 694 citations indexed

About

Michelle S. Levine is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Michelle S. Levine has authored 13 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Michelle S. Levine's work include Microtubule and mitosis dynamics (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Treatment and Pharmacology (2 papers). Michelle S. Levine is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Treatment and Pharmacology (2 papers). Michelle S. Levine collaborates with scholars based in United States, Canada and France. Michelle S. Levine's co-authors include Andrew J. Holland, Björn Bakker, Diether Lambrechts, Peter M. Lansdorp, Bram Boeckx, James T. Lu, Diana C.J. Spierings, Floris Foijer, Benjamin Vitre and Don W. Cleveland and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Michelle S. Levine

13 papers receiving 686 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 S. Levine 493 329 135 128 96 13 694
Hanjun Kim 431 0.9× 346 1.1× 83 0.6× 88 0.7× 63 0.7× 16 679
Paraskevi Briassouli 306 0.6× 264 0.8× 205 1.5× 63 0.5× 89 0.9× 11 572
Jennifer L. Brockman 432 0.9× 178 0.5× 250 1.9× 122 1.0× 63 0.7× 13 681
A. A. Karavanov 466 0.9× 144 0.4× 108 0.8× 52 0.4× 58 0.6× 12 638
María Guillamot 474 1.0× 271 0.8× 150 1.1× 44 0.3× 60 0.6× 10 602
Mihir Rajurkar 517 1.0× 272 0.8× 135 1.0× 85 0.7× 63 0.7× 12 706
C-X Deng 412 0.8× 214 0.7× 262 1.9× 81 0.6× 100 1.0× 11 574
Takahiro Aoto 484 1.0× 145 0.4× 101 0.7× 80 0.6× 52 0.5× 12 696
Peng Yue 587 1.2× 201 0.6× 122 0.9× 29 0.2× 143 1.5× 17 748
Valentí Gómez 399 0.8× 242 0.7× 90 0.7× 36 0.3× 118 1.2× 16 623

Countries citing papers authored by Michelle S. Levine

Since Specialization
Citations

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

Fields of papers citing papers by Michelle S. Levine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle S. Levine

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