Mark Pfuhl

2.0k total citations
51 papers, 1.5k citations indexed

About

Mark Pfuhl is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Mark Pfuhl has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 18 papers in Cardiology and Cardiovascular Medicine and 11 papers in Cell Biology. Recurrent topics in Mark Pfuhl's work include Cardiomyopathy and Myosin Studies (18 papers), RNA and protein synthesis mechanisms (13 papers) and Protein Structure and Dynamics (11 papers). Mark Pfuhl is often cited by papers focused on Cardiomyopathy and Myosin Studies (18 papers), RNA and protein synthesis mechanisms (13 papers) and Protein Structure and Dynamics (11 papers). Mark Pfuhl collaborates with scholars based in United Kingdom, Germany and United States. Mark Pfuhl's co-authors include Annalisa Pastore, Mathias Gautel, Elena Rostkova, Abdessamad Ababou, Jaime Pascual, Matti Saraste, Anastasia S. Politou, Siegfried Labeit, Paul C. Driscoll and Michaël Nilges and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Mark Pfuhl

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Pfuhl United Kingdom 22 1.1k 682 479 179 151 51 1.5k
László Nyitray Hungary 24 1.4k 1.3× 461 0.7× 447 0.9× 88 0.5× 48 0.3× 76 1.8k
Hanna Brzeska United States 24 1.2k 1.1× 557 0.8× 930 1.9× 87 0.5× 154 1.0× 44 1.7k
Andrey A. Bobkov United States 23 1.1k 1.1× 359 0.5× 1.1k 2.3× 311 1.7× 106 0.7× 61 2.3k
Grzegorz Rębowski United States 20 709 0.7× 372 0.5× 815 1.7× 146 0.8× 50 0.3× 38 1.5k
Takanori Otomo United States 19 1.3k 1.2× 175 0.3× 972 2.0× 85 0.5× 162 1.1× 25 2.3k
James J. Hartman United States 17 1.1k 1.0× 375 0.5× 879 1.8× 48 0.3× 105 0.7× 28 1.8k
Julie Ménétrey France 18 954 0.9× 510 0.7× 719 1.5× 166 0.9× 61 0.4× 27 1.4k
Vitold E. Galkin United States 20 859 0.8× 648 1.0× 541 1.1× 274 1.5× 37 0.2× 41 1.6k
Hans M. Warrick United States 19 1.2k 1.1× 676 1.0× 756 1.6× 142 0.8× 49 0.3× 30 1.8k
Małgorzata Boczkowska United States 23 1.0k 1.0× 314 0.5× 720 1.5× 76 0.4× 46 0.3× 40 1.7k

Countries citing papers authored by Mark Pfuhl

Since Specialization
Citations

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

Fields of papers citing papers by Mark Pfuhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Pfuhl

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Pfuhl. A scholar is included among the top collaborators of Mark Pfuhl 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 Mark Pfuhl. Mark Pfuhl 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.
Koch, Daniel, Ay Lin Kho, Atsushi Fukuzawa, et al.. (2023). Obscurin Rho GEF domains are phosphorylated by MST-family kinases but do not exhibit nucleotide exchange factor activity towards Rho GTPases in vitro. PLoS ONE. 18(4). e0284453–e0284453. 4 indexed citations
2.
Savarese, Marco, Susanne Rinné, Anne Schänzer, et al.. (2023). Differential effects of mutations of POPDC proteins on heteromeric interaction and membrane trafficking. Acta Neuropathologica Communications. 11(1). 4–4. 4 indexed citations
3.
Campbell, Kenneth S., et al.. (2023). Discovery of novel cardiac troponin activators using fluorescence polarization-based high throughput screening assays. Scientific Reports. 13(1). 5216–5216. 5 indexed citations
4.
Lukacik, Petra, et al.. (2022). East Coast fever, a neglected tropical disease with an outdated vaccine approach?. Trends in Parasitology. 38(11). 930–932. 3 indexed citations
5.
Whittaker, Sara B.‐M., et al.. (2019). Controlling the dynamics of the Nek2 leucine zipper by engineering of “kinetic” disulphide bonds. PLoS ONE. 14(2). e0210352–e0210352. 2 indexed citations
6.
Burgess, Selena G., Sarah Sabir, Nimesh Joseph, et al.. (2018). Mitotic spindle association of TACC3 requires Aurora‐A‐dependent stabilization of a cryptic α‐helix. The EMBO Journal. 37(8). 43 indexed citations
7.
Kho, Ay Lin, et al.. (2015). The Cardiac Stress Response Factor Ms1 Can Bind to DNA and Has a Function in the Nucleus. PLoS ONE. 10(12). e0144614–e0144614. 3 indexed citations
8.
Rostkova, Elena, Mathias Gautel, & Mark Pfuhl. (2014). Solution NMR assignment of the heavy chain complex of the human cardiac myosin regulatory light chain. Biomolecular NMR Assignments. 9(1). 51–53. 1 indexed citations
10.
Ababou, Abdessamad, Mark Pfuhl, & John E. Ladbury. (2009). Novel Insights into the Mechanisms of CIN85 SH3 Domains Binding to Cbl Proteins: Solution-Based Investigations and In Vivo Implications. Journal of Molecular Biology. 387(5). 1120–1136. 11 indexed citations
11.
Ababou, Abdessamad, et al.. (2008). The stoichiometry of binding between CIN85 SH3 domain A and a proline-rich motif from Cbl-b in solution.. UCL Discovery (University College London). 1 indexed citations
12.
Ababou, Abdessamad, et al.. (2008). Myosin Binding Protein C Positioned to Play a Key Role in Regulation of Muscle Contraction: Structure and Interactions of Domain C1. Journal of Molecular Biology. 384(3). 615–630. 76 indexed citations
14.
Renzoni, Debora, Diego Esposito, Mark Pfuhl, et al.. (2001). Structural characterization of the N-terminal oligomerization domain of the bacterial chromatin-structuring protein, H-NS. Journal of Molecular Biology. 306(5). 1127–1137. 32 indexed citations
15.
McAlister, M., Ben Davis, Mark Pfuhl, & Paul C. Driscoll. (1998). NMR analysis of the N-terminal SRCR domain of human CD5: engineering of a glycoprotein for superior characteristics in NMR experiments. Protein Engineering Design and Selection. 11(10). 847–853. 16 indexed citations
16.
Pfuhl, Mark, et al.. (1998). Sequence specific 1H, 13C and15 N resonance assignment of rat CD2 domain 1. Journal of Biomolecular NMR. 12(3). 457–458. 3 indexed citations
17.
Pfuhl, Mark, Steven J. Winder, Maria Antonietta Castiglione Morelli, Siegfried Labeit, & Annalisa Pastore. (1996). Correlation Between Conformational and Binding Properties of Nebulin Repeats. Journal of Molecular Biology. 257(2). 367–384. 67 indexed citations
18.
Ubbink, Marcellus, Mark Pfuhl, John van der Oost, Axel Berg, & Gerard W. Canters. (1996). NMR assignments and relaxation studies of Thiobacillus versutus ferrocytochrome c‐550 indicate the presence of a highly mobile 13‐residues long C‐terminal tail. Protein Science. 5(12). 2494–2505. 13 indexed citations
19.
Pascual, Jaime, Mark Pfuhl, Germán Rivas, Annalisa Pastore, & Matti Saraste. (1996). The spectrin repeat folds into a three‐helix bundle in solution. FEBS Letters. 383(3). 201–207. 65 indexed citations
20.
Pfuhl, Mark, Mathias Gautel, Anastasia S. Politou, Catherine Joseph, & Annalisa Pastore. (1995). Secondary structure determination by NMR spectroscopy of an immunoglobulin-like domain from the giant muscle protein titin. Journal of Biomolecular NMR. 6(1). 48–58. 19 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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