Matthew S. Crowe

46 total papers · 855 total citations
8 papers, 683 citations indexed

About

Matthew S. Crowe is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Matthew S. Crowe has authored 8 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Matthew S. Crowe's work include Melanoma and MAPK Pathways (5 papers), Cancer Mechanisms and Therapy (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Matthew S. Crowe is often cited by papers focused on Melanoma and MAPK Pathways (5 papers), Cancer Mechanisms and Therapy (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Matthew S. Crowe collaborates with scholars based in United States, United Kingdom and Switzerland. Matthew S. Crowe's co-authors include Christopher M. Counter, Donita C. Brady, Dennis J. Thiele, Stefan Knapp, Sharon L. Campbell, Kunhong Xiao, A. Chaikuad, G. Aaron Hobbs, Michelle L. Turski and Diana M. Cardona and has published in prestigious journals such as Nature, Cancer Research and Oncogene.

In The Last Decade

Matthew S. Crowe

8 papers receiving 675 citations

Hit Papers

Copper is required for on... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Matthew S. Crowe 288 274 219 117 116 8 683
Stéphanie Blockhuys 261 0.9× 311 1.1× 237 1.1× 184 1.6× 122 1.1× 20 687
Michelle Cicchini 410 1.4× 143 0.5× 185 0.8× 122 1.0× 158 1.4× 9 719
Byung-Eun Kim 244 0.8× 351 1.3× 189 0.9× 48 0.4× 44 0.4× 7 660
Divya Ramchandani 249 0.9× 118 0.4× 171 0.8× 124 1.1× 167 1.4× 12 574
Archita Das 288 1.0× 212 0.8× 123 0.6× 91 0.8× 72 0.6× 21 690
Luisa Shin Ogawa 448 1.6× 104 0.4× 162 0.7× 96 0.8× 88 0.8× 17 669
Abigael Muchenditsi 158 0.5× 414 1.5× 190 0.9× 38 0.3× 35 0.3× 15 743
Jane Kepros 250 0.9× 100 0.4× 277 1.3× 85 0.7× 170 1.5× 7 655
Fumiya Ito 345 1.2× 98 0.4× 68 0.3× 292 2.5× 158 1.4× 25 741
Elie Hatem 328 1.1× 92 0.3× 61 0.3× 48 0.4× 110 0.9× 18 627

Countries citing papers authored by Matthew S. Crowe

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Crowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew S. Crowe

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