M.J. Peet

2.3k total citations
41 papers, 1.8k citations indexed

About

M.J. Peet is a scholar working on Mechanical Engineering, Materials Chemistry and Structural Biology. According to data from OpenAlex, M.J. Peet has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanical Engineering, 19 papers in Materials Chemistry and 8 papers in Structural Biology. Recurrent topics in M.J. Peet's work include Microstructure and Mechanical Properties of Steels (26 papers), Metal Alloys Wear and Properties (16 papers) and Advanced Electron Microscopy Techniques and Applications (8 papers). M.J. Peet is often cited by papers focused on Microstructure and Mechanical Properties of Steels (26 papers), Metal Alloys Wear and Properties (16 papers) and Advanced Electron Microscopy Techniques and Applications (8 papers). M.J. Peet collaborates with scholars based in United Kingdom, Iraq and United States. M.J. Peet's co-authors include H. K. D. H. Bhadeshia, Christopher J. Russo, S. S. Babu, Hussain S. Hasan, Katerina Naydenova, Richard A. Henderson, E. D. Specht, Carlos García-Mateo, Francisca G. Caballero and P. Zschack and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Acta Materialia and Scientific Reports.

In The Last Decade

M.J. Peet

40 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.J. Peet United Kingdom 23 1.2k 1.0k 337 263 256 41 1.8k
Kaiyuan Yu China 28 1.3k 1.1× 2.5k 2.4× 590 1.8× 73 0.3× 6 0.0× 86 3.0k
Gang Ji China 23 1.1k 0.9× 466 0.5× 89 0.3× 5 0.0× 140 0.5× 75 2.0k
Hitoshi Ohmori Japan 24 1.1k 0.9× 449 0.4× 152 0.5× 4 0.0× 84 0.3× 200 2.2k
C. Tromas France 29 893 0.7× 1.3k 1.3× 905 2.7× 49 0.2× 10 0.0× 72 2.1k
L. M. Brown United Kingdom 14 242 0.2× 894 0.9× 621 1.8× 27 0.1× 31 0.1× 41 1.5k
Peter Auger France 20 681 0.5× 734 0.7× 113 0.3× 513 2.0× 8 0.0× 42 1.3k
Christoph Pauly Germany 16 454 0.4× 632 0.6× 301 0.9× 14 0.1× 24 0.1× 63 1.2k
Huigang Shi China 15 251 0.2× 269 0.3× 72 0.2× 18 0.1× 27 0.1× 37 647
Steffen Brinckmann Germany 21 685 0.5× 871 0.8× 661 2.0× 111 0.4× 6 0.0× 62 1.4k
Chengge Jiao United Kingdom 14 112 0.1× 314 0.3× 99 0.3× 9 0.0× 95 0.4× 28 675

Countries citing papers authored by M.J. Peet

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Peet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Peet. 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 M.J. Peet. The network helps show where M.J. Peet may publish in the future.

Co-authorship network of co-authors of M.J. Peet

This figure shows the co-authorship network connecting the top 25 collaborators of M.J. Peet. A scholar is included among the top collaborators of M.J. Peet 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 M.J. Peet. M.J. Peet 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.
Naydenova, Katerina, et al.. (2025). Reducing the effects of radiation damage in cryo-EM using liquid helium temperatures. Proceedings of the National Academy of Sciences. 122(17). e2421538122–e2421538122. 4 indexed citations
2.
McMullan, Greg, Katerina Naydenova, Keitaro Yamashita, et al.. (2023). Structure determination by cryoEM at 100 keV. Proceedings of the National Academy of Sciences. 120(49). e2312905120–e2312905120. 17 indexed citations
3.
Peet, M.J., et al.. (2023). Accurate magnification determination for cryoEM using gold. Ultramicroscopy. 256. 113883–113883. 5 indexed citations
4.
Peet, M.J., Richard A. Henderson, & Christopher J. Russo. (2023). Measuring Electron Dose Efficiency in TEM and STEM. Microscopy and Microanalysis. 29(Supplement_1). 1012–1012.
5.
Naydenova, Katerina, Akiko Kamegawa, M.J. Peet, et al.. (2022). On the reduction in the effects of radiation damage to two-dimensional crystals of organic and biological molecules at liquid-helium temperature. Ultramicroscopy. 237. 113512–113512. 21 indexed citations
6.
Naydenova, Katerina, Kyle Muir, Long-Fei Wu, et al.. (2021). Structure of the SARS-CoV-2 RNA-dependent RNA polymerase in the presence of favipiravir-RTP. Proceedings of the National Academy of Sciences. 118(7). 142 indexed citations
7.
Naydenova, Katerina, M.J. Peet, & Christopher J. Russo. (2019). Multifunctional graphene supports for electron cryomicroscopy. Proceedings of the National Academy of Sciences. 116(24). 11718–11724. 87 indexed citations
8.
Peet, M.J., Richard A. Henderson, & Christopher J. Russo. (2019). The energy dependence of contrast and damage in electron cryomicroscopy of biological molecules. Ultramicroscopy. 203. 125–131. 104 indexed citations
9.
Naydenova, Katerina, Greg McMullan, M.J. Peet, et al.. (2019). CryoEM at 100 keV: a demonstration and prospects. IUCrJ. 6(6). 1086–1098. 75 indexed citations
10.
Chintha, Appa Rao, et al.. (2019). Role of fracture toughness in impact-abrasion wear. Wear. 428-429. 430–437. 56 indexed citations
11.
Wu, Kaiming, et al.. (2018). Magnetism and high magnetic-field-induced stability of alloy carbides in Fe-based materials. Scientific Reports. 8(1). 3049–3049. 20 indexed citations
12.
Solano-Alvarez, W., E.J. Pickering, M.J. Peet, et al.. (2016). Soft novel form of white-etching matter and ductile failure of carbide-free bainitic steels under rolling contact stresses. Acta Materialia. 121. 215–226. 48 indexed citations
13.
Li, Yonggang, et al.. (2015). Magnetic-field-induced magnetism and thermal stability of carbides Fe6−xMoxC in molybdenum-containing steels. Acta Materialia. 102. 24–31. 22 indexed citations
14.
Hulme-Smith, Christopher, I. Lonardelli, M.J. Peet, Ann‐Christin Dippel, & H. K. D. H. Bhadeshia. (2013). Enhanced thermal stability in nanostructured bainitic steel. Scripta Materialia. 69(2). 191–194. 34 indexed citations
15.
Peet, M.J. & H. K. D. H. Bhadeshia. (2011). Surface Relief Due to Bainite Transformation at 473 K (200 °C). Metallurgical and Materials Transactions A. 42(11). 3344–3348. 27 indexed citations
16.
Peet, M.J., Hussain S. Hasan, & H. K. D. H. Bhadeshia. (2011). Prediction of thermal conductivity of steel. International Journal of Heat and Mass Transfer. 54(11-12). 2602–2608. 128 indexed citations
17.
Peet, M.J. & A. A. Shirzadi. (2010). Neural network modelling of hot deformation of austenite. Open Research Online (The Open University). 3 indexed citations
18.
Peet, M.J., et al.. (2010). Fatigue of extremely fine bainite. Materials Science and Technology. 27(1). 119–123. 43 indexed citations
19.
Babu, S. S., E. D. Specht, S. A. David, et al.. (2010). Time-Resolved X-ray diffraction Investigation of Austenite and Transformation to Bainite †. 1 indexed citations
20.
García-Mateo, Carlos, M.J. Peet, Francisca G. Caballero, & H. K. D. H. Bhadeshia. (2004). Tempering of hard mixture of bainitic ferrite and austenite. Materials Science and Technology. 20(7). 814–818. 157 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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