Paul Young

5.2k total citations
66 papers, 4.2k citations indexed

About

Paul Young is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Paul Young has authored 66 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 15 papers in Cell Biology. Recurrent topics in Paul Young's work include Cardiomyopathy and Myosin Studies (11 papers), Cellular transport and secretion (8 papers) and Adipose Tissue and Metabolism (8 papers). Paul Young is often cited by papers focused on Cardiomyopathy and Myosin Studies (11 papers), Cellular transport and secretion (8 papers) and Adipose Tissue and Metabolism (8 papers). Paul Young collaborates with scholars based in United States, Ireland and United Kingdom. Paul Young's co-authors include Mathias Gautel, Kristina Djinović‐Carugo, Jari Ylänne, Matti Saraste, Geoffrey D. Holman, Elisabeth Ehler, James F. Clarke, Masato Kasuga, Dieter O. Fürst and Peter F. M. van der Ven and has published in prestigious journals such as Nature, Cell and The Journal of Cell Biology.

In The Last Decade

Paul Young

66 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Young United States 31 2.7k 907 885 718 599 66 4.2k
Dominique Mornet France 37 3.6k 1.3× 1.7k 1.9× 1.1k 1.2× 845 1.2× 528 0.9× 152 5.0k
Michael Schlame United States 46 6.5k 2.4× 508 0.6× 550 0.6× 827 1.2× 583 1.0× 116 7.7k
J Lacapère France 31 3.1k 1.2× 247 0.3× 637 0.7× 512 0.7× 963 1.6× 117 5.0k
Richard T. Mathias United States 44 4.6k 1.7× 626 0.7× 379 0.4× 717 1.0× 747 1.2× 120 5.3k
Yasuharu Sasaki Japan 37 4.8k 1.8× 760 0.8× 1.5k 1.7× 1.3k 1.7× 1.2k 1.9× 108 7.9k
Akikazu Fujita Japan 35 2.9k 1.1× 434 0.5× 966 1.1× 677 0.9× 1.0k 1.7× 102 4.4k
Ahmad Almilaji Germany 15 2.4k 0.9× 530 0.6× 363 0.4× 473 0.7× 1.0k 1.7× 29 4.2k
Ekaterina Shumilina Germany 29 3.1k 1.2× 553 0.6× 424 0.5× 937 1.3× 1.0k 1.7× 92 5.5k
Susan Treves Switzerland 40 3.4k 1.3× 1.5k 1.6× 641 0.7× 519 0.7× 1.0k 1.7× 150 4.6k
Bernat Elvira Germany 15 2.3k 0.9× 533 0.6× 365 0.4× 409 0.6× 1.0k 1.7× 42 4.2k

Countries citing papers authored by Paul Young

Since Specialization
Citations

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

Fields of papers citing papers by Paul Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Young

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Young. A scholar is included among the top collaborators of Paul Young 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 Paul Young. Paul Young 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.
Fitzel, Rahel, Katja Burk, Andrew J. Lindsay, et al.. (2025). Condensate Formation of the Human RNA-binding Protein SMAUG1 is Controlled by its Intrinsically Disordered Regions and Interactions with 14-3-3 Proteins. Journal of Molecular Biology. 437(19). 169314–169314. 1 indexed citations
2.
Collins, Timothy W., et al.. (2020). Regulated phase separation in nanopatterned protein-polysaccharide thin films by spin coating. Colloids and Surfaces B Biointerfaces. 190. 110967–110967. 10 indexed citations
3.
Collins, Timothy W., et al.. (2018). Nanopatterned protein-polysaccharide thin films by humidity regulated phase separation. Journal of Colloid and Interface Science. 532. 171–181. 9 indexed citations
4.
Saha, Orthis, et al.. (2017). Proteomic analysis reveals novel ligands and substrates for LNX1 E3 ubiquitin ligase. PLoS ONE. 12(11). e0187352–e0187352. 11 indexed citations
5.
Young, Paul, et al.. (2015). The actinin family of actin cross-linking proteins – a genetic perspective. Cell & Bioscience. 5(1). 49–49. 81 indexed citations
6.
7.
Horgan, Conor P., et al.. (2010). The role of endosomal-recycling in long-term potentiation. Cellular and Molecular Life Sciences. 68(2). 185–194. 17 indexed citations
8.
Young, Paul, et al.. (2008). Single-neuron labeling with inducible Cre-mediated knockout in transgenic mice. Nature Neuroscience. 11(6). 721–728. 131 indexed citations
9.
Young, Paul, Jing Nie, Xueyong Wang, et al.. (2005). LNX1 is a perisynaptic Schwann cell specific E3 ubiquitin ligase that interacts with ErbB2. Molecular and Cellular Neuroscience. 30(2). 238–248. 36 indexed citations
10.
Fulford, Jonathan, S. Vadeyar, Rachel J. Moore, et al.. (2003). Fetal brain activity in response to a visual stimulus. Human Brain Mapping. 20(4). 239–245. 77 indexed citations
11.
Ylänne, Jari, Klaus Scheffzek, Paul Young, & Matti Saraste. (2001). Crystal Structure of the α-Actinin Rod Reveals an Extensive Torsional Twist. Structure. 9(7). 597–604. 152 indexed citations
12.
Young, Paul. (2000). The interaction of titin and alpha-actinin is controlled by a phospholipid-regulated intramolecular pseudoligand mechanism. The EMBO Journal. 19(23). 6331–6340. 87 indexed citations
13.
Marciani, Luca, Penny Gowland, Rachel J. Moore, et al.. (2000). Gastric Response to Increased Meal Viscosity Assessed by Echo-Planar Magnetic Resonance Imaging in Humans. Journal of Nutrition. 130(1). 122–127. 199 indexed citations
14.
Djinović‐Carugo, Kristina, Paul Young, Mathias Gautel, & Matti Saraste. (1999). Molecular Basis for Cross-Linking of Actin Filaments: Structure of the α-Actinin Rod. Cell. 98(4). 537–546. 218 indexed citations
15.
Sennitt, Matthew V., Alberto J. Kaumann, Peter Molenaar, et al.. (1998). The contribution of classical (beta1/2-) and atypical beta-adrenoceptors to the stimulation of human white adipocyte lipolysis and right atrial appendage contraction by novel beta3-adrenoceptor agonists of differing selectivities.. PubMed. 285(3). 1084–95. 53 indexed citations
16.
Marciani, Luca, Pretima Manoj, B.P. Hills, et al.. (1998). Echo-Planar Imaging Relaxometry to Measure the Viscosity of a Model Meal. Journal of Magnetic Resonance. 135(1). 82–86. 19 indexed citations
17.
Mayans, Olga, Peter F. M. van der Ven, Matthias Wilm, et al.. (1998). Structural basis for activation of the titin kinase domain during myofibrillogenesis. Nature. 395(6705). 863–869. 298 indexed citations
18.
19.
Beeley, Lee J., John M. Berge, Helen Chapman, et al.. (1995). Synthesis of a selective alpha-2A adrenoceptor antagonist, BRL 48962, and its characterization at cloned human alpha-adrenoceptors. Bioorganic & Medicinal Chemistry. 3(12). 1693–1698. 8 indexed citations
20.
Ibrahimi, Azeddine, Lydia Teboul, D Gaillard, et al.. (1994). Evidence for a common mechanism of action for fatty acids and thiazolidinedione antidiabetic agents on gene expression in preadipose cells.. Molecular Pharmacology. 46(6). 1070–1076. 123 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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