Peter J. Knight

7.6k total citations
101 papers, 5.7k citations indexed

About

Peter J. Knight is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Peter J. Knight has authored 101 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 54 papers in Cardiology and Cardiovascular Medicine and 28 papers in Cell Biology. Recurrent topics in Peter J. Knight's work include Cardiomyopathy and Myosin Studies (54 papers), Muscle Physiology and Disorders (28 papers) and Force Microscopy Techniques and Applications (17 papers). Peter J. Knight is often cited by papers focused on Cardiomyopathy and Myosin Studies (54 papers), Muscle Physiology and Disorders (28 papers) and Force Microscopy Techniques and Applications (17 papers). Peter J. Knight collaborates with scholars based in United Kingdom, United States and Japan. Peter J. Knight's co-authors include Stan A. Burgess, John Trinick, James R. Sellers, David J. Ellar, Matt Walker, Kavitha Thirumurugan, Michelle Peckham, Takahide Kon, Kazuo Sutoh and Neil Crickmore and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter J. Knight

99 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. Knight United Kingdom 43 3.6k 2.2k 2.1k 680 503 101 5.7k
Hans Georg Mannherz Germany 47 5.0k 1.4× 3.0k 1.3× 1.9k 0.9× 860 1.3× 195 0.4× 169 9.8k
Kevin Leonard Germany 47 3.8k 1.0× 731 0.3× 1.2k 0.6× 420 0.6× 148 0.3× 136 5.9k
John Trinick United Kingdom 42 3.5k 1.0× 1.6k 0.7× 3.2k 1.5× 1.7k 2.5× 133 0.3× 95 6.4k
Mary C. Reedy United States 39 3.0k 0.8× 1.0k 0.5× 1.9k 0.9× 559 0.8× 86 0.2× 81 5.2k
Matthew D. Welch United States 43 3.8k 1.1× 4.3k 1.9× 677 0.3× 367 0.5× 459 0.9× 88 8.5k
Uno Lindberg Sweden 48 4.9k 1.3× 4.3k 1.9× 1.4k 0.7× 614 0.9× 74 0.1× 109 9.0k
Emil Reisler United States 46 3.4k 0.9× 3.3k 1.5× 2.8k 1.3× 1.2k 1.8× 44 0.1× 195 6.7k
Marion L. Greaser United States 55 5.8k 1.6× 1.6k 0.7× 5.6k 2.6× 866 1.3× 195 0.4× 171 10.1k
Lois E. Greene United States 48 4.5k 1.3× 2.6k 1.2× 2.2k 1.0× 498 0.7× 57 0.1× 116 6.4k
Kosçak Maruyama Japan 39 3.8k 1.0× 2.5k 1.1× 3.5k 1.7× 837 1.2× 135 0.3× 276 6.6k

Countries citing papers authored by Peter J. Knight

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Knight

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Knight. A scholar is included among the top collaborators of Peter J. Knight 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 Peter J. Knight. Peter J. Knight 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.
Klebl, David P., Cristina M. Risi, Éva Forgács, et al.. (2025). Swinging lever mechanism of myosin directly shown by time-resolved cryo-EM. Nature. 642(8067). 519–526. 6 indexed citations
2.
Fineberg, Adam, Yasuharu Takagi, Kavitha Thirumurugan, et al.. (2024). Myosin-5 varies its step length to carry cargo straight along the irregular F-actin track. Proceedings of the National Academy of Sciences. 121(13). e2401625121–e2401625121. 9 indexed citations
3.
Scarff, Charlotte A., et al.. (2020). Structure of the shutdown state of myosin-2. Nature. 588(7838). 515–520. 44 indexed citations
4.
Wolny, Marcin, Matthew Batchelor, Gail J. Bartlett, et al.. (2017). Characterization of long and stable de novo single alpha-helix domains provides novel insight into their stability. Scientific Reports. 7(1). 44341–44341. 43 indexed citations
5.
Billington, Neil, et al.. (2013). Flexibility within the Heads of Muscle Myosin-2 Molecules. Journal of Molecular Biology. 426(4). 894–907. 19 indexed citations
6.
Roberts, A. J., Naoki Numata, Matt Walker, et al.. (2009). AAA+ Ring and Linker Swing Mechanism in the Dynein Motor. Cell. 136(3). 485–495. 149 indexed citations
7.
Kon, Takahide, Kenji Imamula, A. J. Roberts, et al.. (2009). Helix sliding in the stalk coiled coil of dynein couples ATPase and microtubule binding. Nature Structural & Molecular Biology. 16(3). 325–333. 127 indexed citations
8.
Keen, Jeff N., G. Nasir Khan, Peter J. Knight, et al.. (2008). Evidence for the Oligomeric State of ‘Elastic’ Titin in Muscle Sarcomeres. Journal of Molecular Biology. 384(2). 299–312. 18 indexed citations
9.
Sellers, James R. & Peter J. Knight. (2007). Folding and regulation in myosins II and V. Journal of Muscle Research and Cell Motility. 28(7-8). 363–370. 33 indexed citations
10.
Thirumurugan, Kavitha, Takeshi Sakamoto, John A. Hammer, James R. Sellers, & Peter J. Knight. (2006). The cargo-binding domain regulates structure and activity of myosin 5. Nature. 442(7099). 212–215. 145 indexed citations
11.
Reid, Ronald E., et al.. (2003). Human genetic variations in the 5HT2A receptor. Pharmacogenetics. 13(2). 107–118. 22 indexed citations
12.
Burgess, Stan A., Matthew Walker, Hitoshi Sakakibara, Kazuhiro Oiwa, & Peter J. Knight. (2003). The structure of dynein-c by negative stain electron microscopy. Journal of Structural Biology. 146(1-2). 205–216. 52 indexed citations
13.
Holmes, David, et al.. (2001). Titin and the sarcomere symmetry paradox11Edited by J. Karn. Journal of Molecular Biology. 305(3). 401–409. 103 indexed citations
14.
Walker, Matthew, Stan A. Burgess, James R. Sellers, et al.. (2000). Two-headed binding of a processive myosin to F-actin. Nature. 405(6788). 804–807. 245 indexed citations
15.
Knight, Peter J., Barbara H. Knowles, & David J. Ellar. (1995). Molecular Cloning of an Insect Aminopeptidase N That Serves as a Receptor for Bacillus thuringiensis CryIA(c) Toxin. Journal of Biological Chemistry. 270(30). 17765–17770. 149 indexed citations
16.
Knight, Peter J., Neil Crickmore, & David J. Ellar. (1994). The receptor for Bacillus thuringiensis CrylA(c) delta‐endotoxin in the brush border membrane of the lepidopteran Manduca sexta is aminopeptidase N. Molecular Microbiology. 11(3). 429–436. 343 indexed citations
17.
Labeit, Siegfried, Toby J. Gibson, A. Lakey, et al.. (1991). Evidence that nebulin is a protein‐ruler in muscle thin filaments. FEBS Letters. 282(2). 313–316. 165 indexed citations
18.
Knowles, Barbara H., Peter J. Knight, & David J. Ellar. (1991). N-acetyl galactosamine is part of the receptor in insect gut epithelia that recognizes an insecticidal protein fromBacillus thuringiensis. Proceedings of the Royal Society B Biological Sciences. 245(1312). 31–35. 87 indexed citations
19.
Knight, Peter J. & John Trinick. (1982). [2] Preparation of myofibrils. Methods in enzymology on CD-ROM/Methods in enzymology. 85 Pt B. 9–12. 92 indexed citations
20.
Knight, Peter J.. (1979). Hydrolysis of p-NN′-phenylenebismaleimide and its adducts with cysteine. Implications for cross-linking of proteins. Biochemical Journal. 179(1). 191–197. 36 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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