Loren E. Hough

2.0k total citations
47 papers, 1.5k citations indexed

About

Loren E. Hough is a scholar working on Molecular Biology, Cell Biology and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Loren E. Hough has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Cell Biology and 9 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Loren E. Hough's work include RNA Research and Splicing (16 papers), Liquid Crystal Research Advancements (9 papers) and Nuclear Structure and Function (9 papers). Loren E. Hough is often cited by papers focused on RNA Research and Splicing (16 papers), Liquid Crystal Research Advancements (9 papers) and Nuclear Structure and Function (9 papers). Loren E. Hough collaborates with scholars based in United States, Germany and United Kingdom. Loren E. Hough's co-authors include Noel A. Clark, Matthew A. Glaser, Michi Nakata, David M. Walba, Eva Körblová, Meredith D. Betterton, Joseph E. Maclennan, Michael P. Rout, Dong Chen and Jaclyn Tetenbaum-Novatt and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Loren E. Hough

45 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
Loren E. Hough United States 21 733 604 312 257 252 47 1.5k
Giuliano Zanchetta Italy 21 869 1.2× 417 0.7× 206 0.7× 291 1.1× 82 0.3× 49 1.6k
Marco Buscaglia Italy 24 752 1.0× 555 0.9× 137 0.4× 433 1.7× 120 0.5× 58 1.6k
Seok‐Cheol Hong South Korea 21 560 0.8× 286 0.5× 130 0.4× 418 1.6× 334 1.3× 64 1.9k
K. Tompa Hungary 18 455 0.6× 153 0.3× 117 0.4× 452 1.8× 167 0.7× 119 1.3k
Wojciech T. Góźdź Poland 21 465 0.6× 102 0.2× 288 0.9× 475 1.8× 23 0.1× 66 1.2k
Zoher Gueroui France 20 689 0.9× 153 0.3× 73 0.2× 250 1.0× 31 0.1× 31 1.3k
V. G. Nazarenko Ukraine 19 305 0.4× 1.4k 2.3× 428 1.4× 513 2.0× 236 0.9× 78 1.7k
H.J. Deuling Germany 13 517 0.7× 364 0.6× 161 0.5× 129 0.5× 67 0.3× 17 1.2k
Józef K. Mościcki Poland 17 193 0.3× 347 0.6× 185 0.6× 484 1.9× 309 1.2× 67 1.2k

Countries citing papers authored by Loren E. Hough

Since Specialization
Citations

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

Fields of papers citing papers by Loren E. Hough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Loren E. Hough. 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 Loren E. Hough. The network helps show where Loren E. Hough may publish in the future.

Co-authorship network of co-authors of Loren E. Hough

This figure shows the co-authorship network connecting the top 25 collaborators of Loren E. Hough. A scholar is included among the top collaborators of Loren E. Hough 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 Loren E. Hough. Loren E. Hough 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.
Ramirez, Dominique, Loren E. Hough, & Michael R. Shirts. (2024). Coiled-coil domains are sufficient to drive liquid-liquid phase separation in protein models. Biophysical Journal. 123(6). 703–717. 26 indexed citations
2.
Whited, Allison M., Irwin Jungreis, Jonathan M. Mudge, et al.. (2024). Biophysical characterization of high-confidence, small human proteins. SHILAP Revista de lepidopterología. 4(3). 100167–100167. 1 indexed citations
3.
Ramirez, Dominique, Loren E. Hough, & Michael R. Shirts. (2023). Coiled-coil domains can drive liquid-liquid phase separation. Biophysical Journal. 122(3). 209a–209a. 1 indexed citations
4.
Lewis, Karen A., et al.. (2023). ParSe 2.0: A web tool to identify drivers of protein phase separation at the proteome level. Protein Science. 32(9). e4756–e4756. 9 indexed citations
5.
Correia, John J., et al.. (2022). Intrinsically disordered regions that drive phase separation form a robustly distinct protein class. Journal of Biological Chemistry. 299(1). 102801–102801. 44 indexed citations
6.
Correia, John J., et al.. (2021). Beta turn propensity and a model polymer scaling exponent identify intrinsically disordered phase-separating proteins. Journal of Biological Chemistry. 297(5). 101343–101343. 24 indexed citations
7.
Lee, Thomas, et al.. (2020). C-Terminal Tail Polyglycylation and Polyglutamylation Alter Microtubule Mechanical Properties. Biophysical Journal. 119(11). 2219–2230. 10 indexed citations
8.
Lee, Thomas, et al.. (2020). C-Terminal Tail Polyglycylation and Polyglutamylation Alter Microtubule Mechanical Properties. Biophysical Journal. 118(3). 597a–597a. 1 indexed citations
9.
Betterton, Meredith D., et al.. (2019). Bound-State Diffusion due to Binding to Flexible Polymers in a Selective Biofilter. Biophysical Journal. 118(2). 376–385. 6 indexed citations
10.
Betterton, Meredith D., et al.. (2019). Design principles of selective transport through biopolymer barriers. Physical review. E. 100(4). 42414–42414. 13 indexed citations
11.
Hough, Loren E., et al.. (2018). In-Cell NMR within Budding Yeast Reveals Cytoplasmic Masking of Hydrophobic Residues of FG Repeats. Biophysical Journal. 115(9). 1690–1695. 15 indexed citations
12.
Blackwell, Robert N., C. J. Edelmaier, Zachary R. Gergely, et al.. (2017). Physical Determinants of Bipolar Mitotic Spindle Assembly and Stability in Fission Yeast. Biophysical Journal. 112(3). 432a–432a.
13.
Vernerey, Franck J., et al.. (2017). Effects of soft interactions and bound mobility on diffusion in crowded environments: a model of sticky and slippery obstacles. Physical Biology. 14(4). 45008–45008. 10 indexed citations
14.
Blackwell, Robert N., C. J. Edelmaier, Zachary R. Gergely, et al.. (2017). Physical determinants of bipolar mitotic spindle assembly and stability in fission yeast. Science Advances. 3(1). e1601603–e1601603. 44 indexed citations
15.
Gergely, Zachary R., et al.. (2016). Kinesin-8 effects on mitotic microtubule dynamics contribute to spindle function in fission yeast. Molecular Biology of the Cell. 27(22). 3490–3514. 28 indexed citations
16.
Blackwell, Robert N., et al.. (2015). Hysteresis, reentrance, and glassy dynamics in systems of self-propelled rods. Physical Review E. 92(6). 60501–60501. 12 indexed citations
17.
Tetenbaum-Novatt, Jaclyn, Loren E. Hough, Roxana Mironska, Anna Sophia McKenney, & Michael P. Rout. (2012). Nucleocytoplasmic Transport: A Role for Nonspecific Competition in Karyopherin-Nucleoporin Interactions. Molecular & Cellular Proteomics. 11(5). 31–46. 49 indexed citations
18.
Hough, Loren E., Anne Schwabe, Matthew A. Glaser, J. Richard McIntosh, & Meredith D. Betterton. (2009). Microtubule Depolymerization by the Kinesin-8 Motor Kip3p: A Mathematical Model. Biophysical Journal. 96(8). 3050–3064. 33 indexed citations
19.
Hough, Loren E., Chenhui Zhu, Michi Nakata, et al.. (2007). Optical Activity Produced by Layer Chirality in Bent-Core Liquid Crystals. Physical Review Letters. 98(3). 37802–37802. 21 indexed citations
20.
Prosperi, Davide, Carlo Morasso, Francesco Mantegazza, et al.. (2006). Phantom Nanoparticles as Probes of Biomolecular Interactions. Small. 2(8-9). 1060–1067. 16 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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