Peter Höök

1.2k total citations
34 papers, 849 citations indexed

About

Peter Höök is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Peter Höök has authored 34 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cell Biology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peter Höök's work include Microtubule and mitosis dynamics (9 papers), Muscle Physiology and Disorders (7 papers) and Cardiomyopathy and Myosin Studies (7 papers). Peter Höök is often cited by papers focused on Microtubule and mitosis dynamics (9 papers), Muscle Physiology and Disorders (7 papers) and Cardiomyopathy and Myosin Studies (7 papers). Peter Höök collaborates with scholars based in United States, Sweden and United Kingdom. Peter Höök's co-authors include Lars Larsson, Richard B. Vallee, Vidyasagar Sriramoju, Bhagavathi Ramamurthy, A. Daniel Jones, Simon M. Hughes, John Sleep, Xiaopeng Li, Arne Gennerich and Matthew P. Nicholas and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Physiology.

In The Last Decade

Peter Höök

31 papers receiving 828 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 Höök United States 14 459 297 178 125 117 34 849
Karim R. Sultan Germany 13 490 1.1× 101 0.3× 249 1.4× 139 1.1× 61 0.5× 26 720
Evi Masschelein Switzerland 13 223 0.5× 99 0.3× 82 0.5× 185 1.5× 30 0.3× 24 619
Jennifer Rood United States 13 514 1.1× 140 0.5× 47 0.3× 299 2.4× 28 0.2× 20 1.1k
Caroline Cieniewski‐Bernard France 18 640 1.4× 156 0.5× 85 0.5× 130 1.0× 31 0.3× 36 841
Hideki Hoshino Japan 19 366 0.8× 122 0.4× 41 0.2× 80 0.6× 12 0.1× 39 806
David Amar Israel 19 624 1.4× 123 0.4× 61 0.3× 116 0.9× 20 0.2× 46 1.2k
Kavitha Mukund United States 9 389 0.8× 88 0.3× 20 0.1× 147 1.2× 68 0.6× 16 692
Yukari Endo Japan 12 263 0.6× 59 0.2× 71 0.4× 53 0.4× 26 0.2× 40 533
Boa Kim United States 15 400 0.9× 71 0.2× 103 0.6× 211 1.7× 19 0.2× 28 907
Winifred Barouch United States 9 571 1.2× 364 1.2× 174 1.0× 102 0.8× 29 0.2× 10 859

Countries citing papers authored by Peter Höök

Since Specialization
Citations

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

Fields of papers citing papers by Peter Höök

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Höök

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Höök. A scholar is included among the top collaborators of Peter Höök 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 Höök. Peter Höök 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.
Höök, Peter, Young Il Lee, & H. Lee Sweeney. (2023). Myosin VI powers self-organization of branched contractile actin network. Biochemical and Biophysical Research Communications. 691. 149329–149329. 3 indexed citations
2.
Höök, Peter, Rustem I. Litvinov, Oleg V. Kim, et al.. (2017). Strong Binding of Platelet Integrin αIIbβ3 to Fibrin Clots: Potential Target to Destabilize Thrombi. Scientific Reports. 7(1). 13001–13001. 29 indexed citations
3.
Höök, Peter. (2016). Using course‐subject C o‐occurrence ( CSCO ) to reveal the structure of an academic discipline: A framework to evaluate different inputs of a domain map. Journal of the Association for Information Science and Technology. 68(1). 182–196. 4 indexed citations
4.
Nicholas, Matthew P., et al.. (2015). Control of cytoplasmic dynein force production and processivity by its C-terminal domain. Nature Communications. 6(1). 6206–6206. 63 indexed citations
5.
Höök, Peter & Richard B. Vallee. (2012). Dynein dynamics. Nature Structural & Molecular Biology. 19(5). 467–469. 8 indexed citations
6.
Höök, Peter. (2010). The Mechanical Components of the Dynein Motor. The Scientific World JOURNAL. 10. 857–864. 3 indexed citations
7.
Höök, Peter, Toshiki Yagi, Anindya Ghosh‐Roy, John C. Williams, & Richard B. Vallee. (2009). The Dynein Stalk Contains an Antiparallel Coiled Coil with Region-Specific Stability. Biochemistry. 48(12). 2710–2713. 7 indexed citations
8.
Larsson, Lars, Xin Wang, Fushun Yu, et al.. (2008). Adaptation by alternative RNA splicing of slow troponin T isoforms in type 1 but not type 2 Charcot-Marie-Tooth disease. American Journal of Physiology-Cell Physiology. 295(3). C722–C731. 16 indexed citations
9.
Vallee, Richard B. & Peter Höök. (2006). Autoinhibitory and other autoregulatory elements within the dynein motor domain. Journal of Structural Biology. 156(1). 175–181. 13 indexed citations
10.
Zhu, Guangyu, Fanglong Yang, Raghavan Balachandran, et al.. (2006). Synthesis and Biological Evaluation of Purealin and Analogues as Cytoplasmic Dynein Heavy Chain Inhibitors. Journal of Medicinal Chemistry. 49(6). 2063–2076. 36 indexed citations
11.
Höök, Peter & Richard B. Vallee. (2006). The dynein family at a glance. Journal of Cell Science. 119(21). 4369–4371. 122 indexed citations
12.
Höök, Peter, Atsushi Mikami, Beth Shafer, et al.. (2005). Long Range Allosteric Control of Cytoplasmic Dynein ATPase Activity by the Stalk and C-terminal Domains. Journal of Biological Chemistry. 280(38). 33045–33054. 39 indexed citations
13.
14.
Höök, Peter. (2002). Creating an Online Tutorial and Pathfinder. Law library journal. 94(2). 243–265. 8 indexed citations
15.
Larsson, Lars, et al.. (2001). Effects of Aging on Regulation of Muscle Contraction at the Motor Unit, Muscle Cell, and Molecular Levels. International Journal of Sport Nutrition and Exercise Metabolism. 11(s1). S28–S43. 35 indexed citations
16.
Ramamurthy, Bhagavathi, Peter Höök, A. Daniel Jones, & Lars Larsson. (2001). Changes in myosin structure and function in response to glycation. The FASEB Journal. 15(13). 2415–2422. 114 indexed citations
17.
Höök, Peter & Lars Larsson. (2000). Actomyosin interactions in a novel single muscle fiber in vitro motility assay.. Journal of Muscle Research and Cell Motility. 21(4). 357–365. 43 indexed citations
18.
Höök, Peter, Xiao Feng Li, John Sleep, Simon M. Hughes, & Lars Larsson. (1999). The effect of age on in vitro motility speed of slow myosin extracted from single rat soleus fibres.. PubMed. 167(4). 325–6. 7 indexed citations
19.
Höök, Peter, Xiaopeng Li, John Sleep, Simon M. Hughes, & Lars Larsson. (1999). In vitro motility speed of slow myosin extracted from single soleus fibres from young and old rats. The Journal of Physiology. 520(2). 463–471. 75 indexed citations
20.
Sanjeevi, Carani B., Peter Höök, Mona Landin‐Olsson, et al.. (1996). DR4 subtypes and their molecular properties in a population‐based study of Swedish childhood diabetes. Tissue Antigens. 47(4). 275–283. 35 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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