Michael Crabtree

2.4k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Michael Crabtree is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Michael Crabtree has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 7 papers in Oncology. Recurrent topics in Michael Crabtree's work include Genetic factors in colorectal cancer (8 papers), Protein Structure and Dynamics (6 papers) and Colorectal Cancer Treatments and Studies (5 papers). Michael Crabtree is often cited by papers focused on Genetic factors in colorectal cancer (8 papers), Protein Structure and Dynamics (6 papers) and Colorectal Cancer Treatments and Studies (5 papers). Michael Crabtree collaborates with scholars based in United Kingdom, United States and Germany. Michael Crabtree's co-authors include Robin Phillips, Karl Heinimann, Oliver M. Sieber, Ian Tomlinson, Shirley V. Hodgson, Lara Lipton, Jane Clarke, Paulo Fidalgo, Torben F. Ørntoft and Lauri A. Aaltonen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael Crabtree

27 papers receiving 1.4k citations

Hit Papers

Multiple Colorectal Adenomas, Classic Adenomatous Polypos... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Crabtree United Kingdom 16 749 715 511 241 178 28 1.4k
Daniel Williamson United Kingdom 24 186 0.2× 1.1k 1.6× 238 0.5× 368 1.5× 88 0.5× 60 1.9k
Thomas Scholl United States 20 318 0.4× 1.1k 1.5× 396 0.8× 371 1.5× 1.0k 5.7× 46 2.5k
Victor Levenson United States 22 142 0.2× 1.0k 1.4× 368 0.7× 543 2.3× 163 0.9× 34 1.4k
Cindy Matsen United States 14 147 0.2× 719 1.0× 643 1.3× 542 2.2× 211 1.2× 46 1.8k
Paola Orlandi Italy 25 128 0.2× 509 0.7× 591 1.2× 263 1.1× 96 0.5× 94 1.7k
Anna D’Angelo Italy 18 186 0.2× 421 0.6× 110 0.2× 138 0.6× 189 1.1× 59 968
Sara E. Dobbins United Kingdom 16 245 0.3× 503 0.7× 195 0.4× 179 0.7× 163 0.9× 24 981
Allison Berger United States 21 145 0.2× 1.6k 2.3× 779 1.5× 241 1.0× 65 0.4× 69 2.1k
Hiroko Endo Japan 24 60 0.1× 827 1.2× 791 1.5× 446 1.9× 104 0.6× 81 2.0k
Graeme E. Walker United Kingdom 16 51 0.1× 610 0.9× 338 0.7× 117 0.5× 128 0.7× 23 1.2k

Countries citing papers authored by Michael Crabtree

Since Specialization
Citations

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

Fields of papers citing papers by Michael Crabtree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Crabtree. 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 Michael Crabtree. The network helps show where Michael Crabtree may publish in the future.

Co-authorship network of co-authors of Michael Crabtree

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Crabtree. A scholar is included among the top collaborators of Michael Crabtree 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 Michael Crabtree. Michael Crabtree is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Crabtree, Michael, J. F. Holland, Arvind Pillai, et al.. (2023). Ion binding with charge inversion combined with screening modulates DEAD box helicase phase transitions. Cell Reports. 42(11). 113375–113375. 21 indexed citations
2.
Holland, J. F., Michael Crabtree, & Timothy J. Nott. (2020). In Vitro Transition Temperature Measurement of Phase-Separating Proteins by Microscopy. Methods in molecular biology. 2141. 703–714. 5 indexed citations
3.
Crabtree, Michael, et al.. (2020). Efficacy of Pulpal Anesthesia Using a Needle-less Syringe. Anesthesia Progress. 67(4). 200–206. 1 indexed citations
4.
Crabtree, Michael, et al.. (2018). Folding and binding pathways of BH3-only proteins are encoded within their intrinsically disordered sequence, not templated by partner proteins. Journal of Biological Chemistry. 293(25). 9718–9723. 30 indexed citations
5.
Mogg, Adrian J., Thomas E. Eessalu, Megan Johnson, et al.. (2018). In Vitro Pharmacological Characterization and In Vivo Validation of LSN3172176 a Novel M1 Selective Muscarinic Receptor Agonist Tracer Molecule for Positron Emission Tomography. Journal of Pharmacology and Experimental Therapeutics. 365(3). 602–613. 8 indexed citations
6.
Bradley, Sophie J., Colin Molloy, Christoffer Bundgaard, et al.. (2018). Bitopic Binding Mode of an M1 Muscarinic Acetylcholine Receptor Agonist Associated with Adverse Clinical Trial Outcomes. Molecular Pharmacology. 93(6). 645–656. 21 indexed citations
7.
Crabtree, Michael & Sarah L. Shammas. (2018). Stopped-Flow Kinetic Techniques for Studying Binding Reactions of Intrinsically Disordered Proteins. Methods in enzymology on CD-ROM/Methods in enzymology. 611. 423–457. 6 indexed citations
8.
Crabtree, Michael, et al.. (2017). Conserved Helix-Flanking Prolines Modulate Intrinsically Disordered Protein:Target Affinity by Altering the Lifetime of the Bound Complex. Biochemistry. 56(18). 2379–2384. 37 indexed citations
9.
Paul, Fabian, Christoph Wehmeyer, Esam T. Abualrous, et al.. (2017). Protein-peptide association kinetics beyond the seconds timescale from atomistic simulations. Nature Communications. 8(1). 1095–1095. 116 indexed citations
10.
Shammas, Sarah L., et al.. (2016). Insights into Coupled Folding and Binding Mechanisms from Kinetic Studies. Journal of Biological Chemistry. 291(13). 6689–6695. 119 indexed citations
11.
Harmon, Tyler S., Michael Crabtree, Sarah L. Shammas, et al.. (2016). GADIS: Algorithm for designing sequences to achieve target secondary structure profiles of intrinsically disordered proteins. Protein Engineering Design and Selection. 29(9). 339–346. 19 indexed citations
12.
Bakker, Geor, Kora de Bruin, Jos Eersels, et al.. (2015). 123I-Iododexetimide Preferentially Binds to the Muscarinic Receptor Subtype M1In Vivo. Journal of Nuclear Medicine. 56(2). 317–322. 18 indexed citations
13.
Bennett, Elizabeth, et al.. (2011). Mental Health Status and Perceived Barriers to Seeking Treatment in Rural Reserve Component Veterans. Journal of Rural Social Sciences. 26(3). 6. 4 indexed citations
14.
Crabtree, Michael, Roberta Pileggi, Indraneel Bhattacharyya, et al.. (2008). RAGE mRNA Expression and Its Correlation with Nuclear Factor Kappa Beta mRNA Expression in Inflamed Human Periradicular Tissues. Journal of Endodontics. 34(6). 689–692. 13 indexed citations
16.
17.
Sieber, Oliver M., Lara Lipton, Michael Crabtree, et al.. (2003). Multiple Colorectal Adenomas, Classic Adenomatous Polyposis, and Germ-Line Mutations inMYH. New England Journal of Medicine. 348(9). 791–799. 596 indexed citations breakdown →
18.
Groves, Christopher J., Hanan Lamlum, Michael Crabtree, et al.. (2002). Mutation Cluster Region, Association Between Germline and Somatic Mutations and Genotype-Phenotype Correlation in Upper Gastrointestinal Familial Adenomatous Polyposis. American Journal Of Pathology. 160(6). 2055–2061. 93 indexed citations

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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