Klaus Schulten

9.8k total citations · 1 hit paper
111 papers, 7.1k citations indexed

About

Klaus Schulten is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Klaus Schulten has authored 111 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 25 papers in Atomic and Molecular Physics, and Optics and 15 papers in Artificial Intelligence. Recurrent topics in Klaus Schulten's work include Protein Structure and Dynamics (24 papers), RNA and protein synthesis mechanisms (16 papers) and Lipid Membrane Structure and Behavior (16 papers). Klaus Schulten is often cited by papers focused on Protein Structure and Dynamics (24 papers), RNA and protein synthesis mechanisms (16 papers) and Lipid Membrane Structure and Behavior (16 papers). Klaus Schulten collaborates with scholars based in United States, Germany and United Kingdom. Klaus Schulten's co-authors include Thomas Martinetz, Helge Ritter, Klaus Obermayer, Helmut Heller, Michael Schaefer, Emad Tajkhorshid, Peter L. Freddolino, Ilia A. Solov’yov, Christian Kurrer and James C. Gumbart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Klaus Schulten

109 papers receiving 6.8k citations

Hit Papers

Topology representing networks 1994 2026 2004 2015 1994 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus Schulten United States 49 3.4k 1.2k 1.2k 990 750 111 7.1k
Eytan Domany Israel 68 8.2k 2.4× 1.8k 1.5× 1.2k 1.0× 469 0.5× 293 0.4× 275 17.0k
Roderick V. Jensen United States 42 2.0k 0.6× 1.4k 1.2× 956 0.8× 293 0.3× 184 0.2× 120 8.1k
Fred A. Hamprecht Germany 36 2.4k 0.7× 945 0.8× 821 0.7× 258 0.3× 353 0.5× 140 8.7k
Jordi García‐Ojalvo Spain 47 4.6k 1.4× 963 0.8× 840 0.7× 1.6k 1.6× 868 1.2× 212 11.4k
Lev S. Tsimring United States 56 5.5k 1.6× 413 0.3× 576 0.5× 1.2k 1.2× 546 0.7× 175 14.5k
Jack A. Tuszyński Canada 53 5.0k 1.5× 1.5k 1.2× 318 0.3× 586 0.6× 1.5k 2.0× 596 12.1k
Kunihiko Kaneko Japan 55 3.6k 1.1× 497 0.4× 921 0.8× 1.2k 1.2× 361 0.5× 342 11.5k
John Hertz Denmark 33 491 0.1× 1.6k 1.3× 1.9k 1.7× 1.4k 1.4× 558 0.7× 121 7.8k
Graeme Mitchison United Kingdom 37 2.7k 0.8× 476 0.4× 1.5k 1.3× 1.8k 1.8× 595 0.8× 69 6.4k
Linda Petzold United States 55 3.9k 1.2× 362 0.3× 403 0.3× 277 0.3× 341 0.5× 253 12.9k

Countries citing papers authored by Klaus Schulten

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Schulten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Schulten

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Schulten. A scholar is included among the top collaborators of Klaus Schulten 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 Klaus Schulten. Klaus Schulten 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.
Milles, Lukas F., Rafael C. Bernardi, Klaus Schulten, & Hermann E. Gaub. (2018). Deconstructing the Single Molecule Mechanics of an Ultrastable Pathogen Adhesin. Biophysical Journal. 114(3). 386a–386a. 2 indexed citations
2.
Singharoy, Abhishek & Klaus Schulten. (2017). Atom-Resolved View of a Cell Organelle on a Computational Microscope. Biophysical Journal. 112(3). 176a–176a. 1 indexed citations
3.
Stone, John E., et al.. (2016). Early Experiences Porting the NAMD and VMD Molecular Simulation and Analysis Software to GPU-Accelerated OpenPOWER Platforms. Lecture notes in computer science. 9945. 188–206. 19 indexed citations
4.
Cassidy, C. Keith, Benjamin A. Himes, Frances Joan D. Alvarez, et al.. (2015). CryoEM and computer simulations reveal a novel kinase conformational switch in bacterial chemotaxis signaling. eLife. 4. 82 indexed citations
5.
Mohseni, Masoud, Masoud Mohseni, Tony Leggett, et al.. (2014). Quantum Effects in Biology. Cambridge University Press eBooks. 150 indexed citations
6.
Singharoy, Abhishek, Ryan McGreevy, Qufei Li, et al.. (2014). xMDFF: Molecular Dynamics Flexible Fitting of Low-Resolution X-Ray Structures. Biophysical Journal. 106(2). 249a–249a.
7.
Qi, Yifei, Xi Cheng, Wei Han, et al.. (2014). CHARMM-Gui Pace Cg Builder for Solution, Micelle, Bilayer and Vesicle Simulations. Biophysical Journal. 106(2). 809a–809a. 1 indexed citations
8.
Trabuco, Leonardo G., Christopher B. Harrison, Eduard Schreiner, & Klaus Schulten. (2010). Recognition of the Regulatory Nascent Chain TnaC by the Ribosome. Structure. 18(5). 627–637. 33 indexed citations
9.
Khalili‐Araghi, Fatemeh, Vishwanath Jogini, Vladimir Yarov‐Yarovoy, et al.. (2010). Refinement and Validation of Atomic Models of the Kv1.2 Potassium Channel Through Molecular Dynamics and Gating Charge Calculations. Biophysical Journal. 98(3). 520a–521a. 1 indexed citations
10.
Strano, Michael S., et al.. (2010). Length-Dependent Optical Effects in Single Walled Carbon Nanotubes. The Journal of Physical Chemistry B. 114(14). 4938–4938. 1 indexed citations
11.
Freddolino, Peter L. & Klaus Schulten. (2009). Common Structural Transitions in Explicit-Solvent Simulations of Villin Headpiece Folding. Biophysical Journal. 97(8). 2338–2347. 121 indexed citations
12.
Khalili‐Araghi, Fatemeh, James C. Gumbart, Po‐Chao Wen, et al.. (2009). Molecular dynamics simulations of membrane channels and transporters. Current Opinion in Structural Biology. 19(2). 128–137. 163 indexed citations
13.
Arkhipov, Anton, Ying Yin, & Klaus Schulten. (2008). Four-Scale Description of Membrane Sculpting by BAR Domains. Biophysical Journal. 95(6). 2806–2821. 198 indexed citations
14.
Solov’yov, Ilia A., Danielle E. Chandler, & Klaus Schulten. (2008). Exploring the possibilities for radical pair effects in cryptochrome. Plant Signaling & Behavior. 3(9). 676–677. 20 indexed citations
15.
Solov’yov, Ilia A., Danielle E. Chandler, & Klaus Schulten. (2007). Magnetic Field Effects in Arabidopsis thaliana Cryptochrome-1. Biophysical Journal. 92(8). 2711–2726. 150 indexed citations
16.
Arkhipov, Anton, Peter L. Freddolino, Katsumi Imada, Keiichi Namba, & Klaus Schulten. (2006). Coarse-Grained Molecular Dynamics Simulations of a Rotating Bacterial Flagellum. Biophysical Journal. 91(12). 4589–4597. 79 indexed citations
17.
Barsky, Daniel, Benno Pütz, & Klaus Schulten. (1997). Theory of heterogeneous relaxation in compartmentalized tissues. Magnetic Resonance in Medicine. 37(5). 666–675. 10 indexed citations
18.
Erwin, Ed, Klaus Obermayer, & Klaus Schulten. (1994). A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex. Neural Information Processing Systems. 7. 93–100. 1 indexed citations
19.
Domany, Eytan, et al.. (1991). Models of Neural Networks. CERN Document Server (European Organization for Nuclear Research). 206 indexed citations
20.
Rubner, Jeanne & Klaus Schulten. (1989). A regularized approach to color constancy. Biological Cybernetics. 61(1). 29–36. 11 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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