John E. Straub

26.2k total citations · 1 hit paper
200 papers, 8.7k citations indexed

About

John E. Straub is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Physiology. According to data from OpenAlex, John E. Straub has authored 200 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Molecular Biology, 62 papers in Atomic and Molecular Physics, and Optics and 45 papers in Physiology. Recurrent topics in John E. Straub's work include Protein Structure and Dynamics (95 papers), Spectroscopy and Quantum Chemical Studies (58 papers) and Alzheimer's disease research and treatments (34 papers). John E. Straub is often cited by papers focused on Protein Structure and Dynamics (95 papers), Spectroscopy and Quantum Chemical Studies (58 papers) and Alzheimer's disease research and treatments (34 papers). John E. Straub collaborates with scholars based in United States, Japan and Germany. John E. Straub's co-authors include D. Thirumalai, B. J. Berne, Michal Borkovec, Govardhan Reddy, Ioan Andricioaei, Jaegil Kim, Francesca Massi, Bogdan Tarus, Diane E. Sagnella and Hiroshi Fujisaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

John E. Straub

198 papers receiving 8.5k citations

Hit Papers

Classical and modern methods in reaction rate theory 1988 2026 2000 2013 1988 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Straub United States 51 5.3k 2.8k 2.1k 1.7k 1.0k 200 8.7k
Ilpo Vattulainen Finland 72 11.7k 2.2× 3.3k 1.2× 790 0.4× 1.8k 1.1× 328 0.3× 309 16.4k
Jack A. Tuszyński Canada 53 5.0k 0.9× 1.5k 0.5× 1.3k 0.6× 790 0.5× 958 0.9× 596 12.1k
Angel E. Garcı́a United States 64 10.8k 2.0× 4.0k 1.4× 1.1k 0.5× 4.4k 2.5× 331 0.3× 184 14.4k
Yuji Sugita Japan 52 9.3k 1.8× 2.1k 0.8× 917 0.4× 2.9k 1.7× 259 0.2× 269 13.0k
Amedeo Caflisch Switzerland 71 11.0k 2.1× 1.1k 0.4× 2.0k 1.0× 2.6k 1.5× 409 0.4× 288 14.8k
John F. Nagle United States 73 15.2k 2.9× 6.6k 2.4× 749 0.4× 1.4k 0.8× 499 0.5× 202 19.1k
Joan–Emma Shea United States 64 7.3k 1.4× 1.0k 0.4× 3.7k 1.8× 2.5k 1.5× 136 0.1× 182 10.5k
D. Thirumalai United States 85 17.0k 3.2× 5.4k 1.9× 1.7k 0.8× 9.0k 5.2× 890 0.9× 380 24.1k
Huan‐Xiang Zhou United States 69 14.3k 2.7× 2.2k 0.8× 463 0.2× 4.6k 2.7× 503 0.5× 407 18.9k
Robert B. Best United States 68 15.1k 2.9× 3.6k 1.3× 661 0.3× 5.6k 3.2× 289 0.3× 185 18.6k

Countries citing papers authored by John E. Straub

Since Specialization
Citations

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

Fields of papers citing papers by John E. Straub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John E. Straub

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Straub. A scholar is included among the top collaborators of John E. Straub 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 John E. Straub. John E. Straub 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.
Mugnai, Mauro L., Debayan Chakraborty, Hung T. Nguyen, et al.. (2025). Sizes, conformational fluctuations, and SAXS profiles for intrinsically disordered proteins. Protein Science. 34(4). e70067–e70067. 2 indexed citations
2.
Pantelopulos, George A., et al.. (2024). Cholesterol and Lipid Rafts in the Biogenesis of Amyloid-β Protein and Alzheimer's Disease. Annual Review of Biophysics. 53(1). 455–486. 11 indexed citations
3.
Allen, Karen N., et al.. (2023). Synergistic computational and experimental studies of a phosphoglycosyl transferase membrane/ligand ensemble. Journal of Biological Chemistry. 299(10). 105194–105194. 8 indexed citations
4.
Xu, Lin, et al.. (2023). Characterizing the transmembrane domains of ADAM10 and BACE1 and the impact of membrane composition. Biophysical Journal. 122(19). 3999–4010. 5 indexed citations
5.
Straub, John E., et al.. (2022). On Computing Equilibrium Binding Constants for Protein–Protein Association in Membranes. Journal of Chemical Theory and Computation. 18(6). 3961–3971. 13 indexed citations
6.
Chakraborty, Debayan, John E. Straub, & D. Thirumalai. (2020). Differences in the free energies between the excited states of A β 40 and A β 42 monomers encode their aggregation propensities. Proceedings of the National Academy of Sciences. 117(33). 19926–19937. 55 indexed citations
7.
Hutchison, J.M.S., Kuo‐Chih Shih, Holger A. Scheidt, et al.. (2020). Bicelles Rich in both Sphingolipids and Cholesterol and Their Use in Studies of Membrane Proteins. Journal of the American Chemical Society. 142(29). 12715–12729. 31 indexed citations
8.
Straub, John E., et al.. (2016). Chemical Characterization and Identification of Organosilicon Contaminants in ISS Potable Water. ThinkTech (Texas Tech University). 1 indexed citations
9.
Cho, Woo Jong, Jaegil Kim, Joonho Lee, et al.. (2014). Limit of Metastability for Liquid and Vapor Phases of Water. Physical Review Letters. 112(15). 157802–157802. 18 indexed citations
10.
Li, Mai Suan, et al.. (2010). Factors Governing Fibrillogenesis of Polypeptide Chains Revealed by Lattice Models. Physical Review Letters. 105(21). 218101–218101. 104 indexed citations
11.
Reddy, Govardhan, John E. Straub, & D. Thirumalai. (2009). Dynamics of locking of peptides onto growing amyloid fibrils. Proceedings of the National Academy of Sciences. 106(29). 11948–11953. 114 indexed citations
12.
Leu, Bogdan M., Yong Zhang, Lintao Bu, et al.. (2008). Resilience of the Iron Environment in Heme Proteins. Biophysical Journal. 95(12). 5874–5889. 29 indexed citations
13.
Buchete, Nicolae‐Viorel, John E. Straub, & D. Thirumalai. (2007). Dissecting contact potentials for proteins: Relative contributions of individual amino acids. Proteins Structure Function and Bioinformatics. 70(1). 119–130. 14 indexed citations
14.
Massi, Francesca, Dmitri K. Klimov, D. Thirumalai, & John E. Straub. (2002). Charge states rather than propensity for β‐structure determine enhanced fibrillogenesis in wild‐type Alzheimer's β‐amyloid peptide compared to E22Q Dutch mutant. Protein Science. 11(7). 1639–1647. 65 indexed citations
15.
Massi, Francesca, Jeff Peng, Jonathan P. Lee, & John E. Straub. (2001). Simulation Study of the Structure and Dynamics of the Alzheimer’s Amyloid Peptide Congener in Solution. Biophysical Journal. 80(1). 31–44. 110 indexed citations
16.
Whitfield, Troy W. & John E. Straub. (2001). Enhanced sampling in numerical path integration: An approximation for the quantum statistical density matrix based on the nonextensive thermostatistics. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(6). 66115–66115. 1 indexed citations
17.
Massi, Francesca & John E. Straub. (2001). Probing the Origins of Increased Activity of the E22Q “Dutch” Mutant Alzheimer's β-Amyloid Peptide. Biophysical Journal. 81(2). 697–709. 38 indexed citations
18.
Andricioaei, Ioan & John E. Straub. (1998). Global optimization using bad derivatives: Derivative-free method for molecular energy minimization. Journal of Computational Chemistry. 19(13). 1445–1455. 12 indexed citations
19.
Straub, John E. & Martin Karplus. (1990). The interpretation of site-directed mutagenesis experiments by linear free energy relations. Protein Engineering Design and Selection. 3(8). 673–675. 6 indexed citations
20.
Straub, John E., et al.. (1980). Water and steam : their properties and current industrial applications : proceedings of the 9th International Conference on the Properties of Steam held at the Technische Universität München, F.R.G., 10-14 September 1979. Pergamon Press eBooks. 1 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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