Martin Wilkinson

3.9k total citations
43 papers, 2.7k citations indexed

About

Martin Wilkinson is a scholar working on Molecular Biology, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Martin Wilkinson has authored 43 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Condensed Matter Physics and 13 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Martin Wilkinson's work include Magnetic and transport properties of perovskites and related materials (10 papers), Alzheimer's disease research and treatments (9 papers) and Rare-earth and actinide compounds (9 papers). Martin Wilkinson is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (10 papers), Alzheimer's disease research and treatments (9 papers) and Rare-earth and actinide compounds (9 papers). Martin Wilkinson collaborates with scholars based in United Kingdom, United States and Germany. Martin Wilkinson's co-authors include E. O. Wollan, W. C. Koehler, C. G. Shull, J. W. Cable, H. R. Child, Dale B. Wigley, N. S. Gingrich, Yuriy Chaban, Elizabeth A. McCormack and Oliver Willhöft and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Martin Wilkinson

42 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Wilkinson United Kingdom 28 1.1k 1.0k 747 597 574 43 2.7k
Andreas Meyer Germany 28 1.2k 1.1× 935 0.9× 628 0.8× 702 1.2× 316 0.6× 111 3.0k
A. Schröder Germany 26 1.5k 1.4× 2.1k 2.0× 574 0.8× 359 0.6× 692 1.2× 101 3.6k
S. Ofer Israel 28 874 0.8× 1.0k 1.0× 820 1.1× 620 1.0× 311 0.5× 122 2.8k
D. L. Cox United States 28 1.4k 1.3× 2.8k 2.7× 1.7k 2.3× 404 0.7× 806 1.4× 90 4.3k
G. Meigs United States 26 1.4k 1.3× 1.1k 1.1× 2.1k 2.9× 1.6k 2.7× 320 0.6× 57 4.2k
B. Farago France 45 491 0.5× 916 0.9× 1.6k 2.1× 3.8k 6.4× 932 1.6× 175 6.5k
C. W. Garland United States 36 2.0k 1.9× 513 0.5× 819 1.1× 1.9k 3.2× 162 0.3× 126 3.8k
M. Roth Israel 26 421 0.4× 346 0.3× 702 0.9× 944 1.6× 985 1.7× 103 2.8k
Kenji Ohwada Japan 25 1.4k 1.3× 933 0.9× 233 0.3× 1.2k 2.0× 180 0.3× 108 2.5k
Robert M. Dalgliesh United Kingdom 27 571 0.5× 471 0.5× 927 1.2× 946 1.6× 322 0.6× 177 3.2k

Countries citing papers authored by Martin Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Martin Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Wilkinson. A scholar is included among the top collaborators of Martin Wilkinson 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 Martin Wilkinson. Martin Wilkinson 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.
Xu, Yong, Martin Wilkinson, Anastasia Zhuravleva, et al.. (2025). Kinetic Steering of Amyloid Formation and Polymorphism by Canagliflozin, a Type-2 Diabetes Drug. Journal of the American Chemical Society. 147(14). 11859–11878. 3 indexed citations
2.
Yang, Hyunjun, Abby Oehler, Julia P. G. Jones, et al.. (2025). High-throughput discovery of fluoroprobes that recognize amyloid fibril polymorphs. Nature Chemistry. 17(10). 1565–1575. 1 indexed citations
3.
Machin, Jonathan, Martin Wilkinson, Sabine M. Ulamec, et al.. (2024). Residues 2 to 7 of α-synuclein regulate amyloid formation via lipid-dependent and lipid-independent pathways. Proceedings of the National Academy of Sciences. 121(34). e2315006121–e2315006121. 10 indexed citations
4.
Louros, Nikolaos, Martin Wilkinson, Meine Ramakers, et al.. (2024). Local structural preferences in shaping tau amyloid polymorphism. Nature Communications. 15(1). 1028–1028. 16 indexed citations
5.
Ninkina, Natalia, Sabine M. Ulamec, Eftychia Vasili, et al.. (2024). Substitution of Met-38 to Ile in γ-synuclein found in two patients with amyotrophic lateral sclerosis induces aggregation into amyloid. Proceedings of the National Academy of Sciences. 121(2). e2309700120–e2309700120. 6 indexed citations
6.
Jenkins, Joshua, Andreas Schertel, Yehuda Halfon, et al.. (2024). CryoET of β-amyloid and tau within postmortem Alzheimer’s disease brain. Nature. 631(8022). 913–919. 34 indexed citations
7.
Wilkinson, Martin, C.J. Lovatt, Yong Xu, et al.. (2023). The in-tissue molecular architecture of β-amyloid pathology in the mammalian brain. Nature Communications. 14(1). 2833–2833. 31 indexed citations
8.
Wilkinson, Martin, Rodrigo Gallardo, Roberto Maya‐Martinez, et al.. (2023). Disease-relevant β2-microglobulin variants share a common amyloid fold. Nature Communications. 14(1). 1190–1190. 12 indexed citations
9.
Wilkinson, Martin, et al.. (2023). Structural evolution of fibril polymorphs during amyloid assembly. Cell. 186(26). 5798–5811.e26. 48 indexed citations
11.
Cheng, Kaiying, Martin Wilkinson, Yuriy Chaban, & Dale B. Wigley. (2020). A conformational switch in response to Chi converts RecBCD from phage destruction to DNA repair. Nature Structural & Molecular Biology. 27(1). 71–77. 49 indexed citations
12.
Wilkinson, Martin, et al.. (2019). Structure of the DNA-Bound Spacer Capture Complex of a Type II CRISPR-Cas System. Molecular Cell. 75(1). 90–101.e5. 30 indexed citations
13.
Willhöft, Oliver, Mohamed Ghoneim, Chia‐Liang Lin, et al.. (2018). Structure and dynamics of the yeast SWR1-nucleosome complex. Science. 362(6411). 118 indexed citations
14.
Ayala, Rafael, Oliver Willhöft, Ricardo Aramayo, et al.. (2018). Structure and regulation of the human INO80–nucleosome complex. Nature. 556(7701). 391–395. 131 indexed citations
16.
Carrasco, Carolina, et al.. (2016). Chi hotspots trigger a conformational change in the helicase-like domain of AddAB to activate homologous recombination. Nucleic Acids Research. 44(6). 2727–2741. 6 indexed citations
17.
Patterson, Fiona, et al.. (2012). Evaluating cognitive ability, knowledge tests and situational judgement tests for postgraduate selection. Medical Education. 46(4). 399–408. 54 indexed citations
18.
Koehler, W. C., J. W. Cable, H. R. Child, Martin Wilkinson, & E. O. Wollan. (1967). Magnetic Structures of Holmium. II. The Magnetization Process. Physical Review. 158(2). 450–461. 112 indexed citations
19.
Cable, J. W., E. O. Wollan, W. C. Koehler, & Martin Wilkinson. (1961). Neutron Diffraction Study of Metallic Erbium. Journal of Applied Physics. 32(3). S49–S50. 59 indexed citations
20.
Koehler, W. C., Martin Wilkinson, J. W. Cable, & E. O. Wollan. (1959). Single crystal neutron diffraction studies of antiferromagnets at low temperatures in applied magnetic fields. Journal de Physique. 20(2-3). 180–184. 4 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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