Werner Treptow

1.5k total citations
44 papers, 1.1k citations indexed

About

Werner Treptow is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Werner Treptow has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Werner Treptow's work include Ion channel regulation and function (25 papers), Lipid Membrane Structure and Behavior (12 papers) and Neuroscience and Neuropharmacology Research (11 papers). Werner Treptow is often cited by papers focused on Ion channel regulation and function (25 papers), Lipid Membrane Structure and Behavior (12 papers) and Neuroscience and Neuropharmacology Research (11 papers). Werner Treptow collaborates with scholars based in Brazil, United States and France. Werner Treptow's co-authors include Mounir Tarek, Michael L. Klein, Vincenzo Carnevale, Lucie Delemotte, ‪Siewert J. Marrink, Manuel Covarrubias, Annika F. Barber, Mónica Silva, Bernard Maigret and Christophe Ramseyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Werner Treptow

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Werner Treptow Brazil 20 857 414 185 124 100 44 1.1k
Kimberly Matulef United States 16 715 0.8× 329 0.8× 169 0.9× 58 0.5× 56 0.6× 23 864
Sudha Chakrapani United States 23 1.8k 2.1× 753 1.8× 343 1.9× 92 0.7× 92 0.9× 45 2.1k
Zara A. Sands United Kingdom 22 893 1.0× 400 1.0× 132 0.7× 61 0.5× 29 0.3× 32 1.2k
Stephan A. Pless Denmark 24 1.2k 1.4× 563 1.4× 288 1.6× 27 0.2× 47 0.5× 61 1.5k
Huaizong Shen China 11 1.8k 2.1× 705 1.7× 631 3.4× 53 0.4× 132 1.3× 19 2.0k
Marina A. Kasimova United States 18 633 0.7× 273 0.7× 208 1.1× 105 0.8× 54 0.5× 35 920
Zhangqiang Li China 16 2.2k 2.5× 888 2.1× 783 4.2× 67 0.5× 163 1.6× 21 2.5k
Tamer M. Gamal El-Din United States 19 1.7k 2.0× 939 2.3× 610 3.3× 77 0.6× 156 1.6× 42 2.0k
Jason D. Galpin United States 17 688 0.8× 266 0.6× 212 1.1× 26 0.2× 33 0.3× 41 833
Wayland W.L. Cheng United States 19 737 0.9× 402 1.0× 163 0.9× 46 0.4× 18 0.2× 33 923

Countries citing papers authored by Werner Treptow

Since Specialization
Citations

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

Fields of papers citing papers by Werner Treptow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Werner Treptow

This figure shows the co-authorship network connecting the top 25 collaborators of Werner Treptow. A scholar is included among the top collaborators of Werner Treptow 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 Werner Treptow. Werner Treptow 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.
Thakur, Abhimanyu, Abhishek Thakur, Kui Zhang, et al.. (2025). Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data. Bioactive Materials. 51. 414–430. 1 indexed citations
2.
3.
Liang, Qiansheng, Lianteng Zhi, Nadia Pilati, et al.. (2024). The binding and mechanism of a positive allosteric modulator of Kv3 channels. Nature Communications. 15(1). 2533–2533. 7 indexed citations
4.
Treptow, Werner, et al.. (2024). Isoleucine gate blocks K+ conduction in C-type inactivation. eLife. 13. 1 indexed citations
5.
Treptow, Werner, et al.. (2022). Concentration-dependent thermodynamic analysis of the partition process of small ligands into proteins. Computational and Structural Biotechnology Journal. 20. 4885–4891. 1 indexed citations
6.
Andrade, Miguel de Souza, et al.. (2021). Trivial and nontrivial error sources account for misidentification of protein partners in mutual information approaches. Scientific Reports. 11(1). 6902–6902. 2 indexed citations
7.
Treptow, Werner, et al.. (2020). Dilute vs Non-Dilute Flooding Molecular Dynamics Simulations - Where do We Draw the Line. Biophysical Journal. 118(3). 48a–48a. 1 indexed citations
8.
Treptow, Werner, et al.. (2020). Improved Flooding Molecular Dynamics Analysis. Biophysical Journal. 118(3). 141a–141a. 1 indexed citations
9.
Silva, Isabel, César Koppe Grisólia, Hugo van Ingen, et al.. (2019). Nucleosome binding peptide presents laudable biophysical and in vivo effects. Biomedicine & Pharmacotherapy. 121. 109678–109678. 6 indexed citations
10.
Andrade, Miguel de Souza, et al.. (2019). Coevolutive, evolutive and stochastic information in protein-protein interactions. Computational and Structural Biotechnology Journal. 17. 1429–1435. 5 indexed citations
11.
Treptow, Werner, et al.. (2018). Binding of the general anesthetic sevoflurane to ion channels. PLoS Computational Biology. 14(11). e1006605–e1006605. 13 indexed citations
12.
Treptow, Werner, et al.. (2017). Biophysical studies of cholesterol effects on chromatin. Journal of Lipid Research. 58(5). 934–940. 18 indexed citations
13.
Covarrubias, Manuel, Annika F. Barber, Vincenzo Carnevale, Werner Treptow, & Roderic G. Eckenhoff. (2015). Mechanistic Insights into the Modulation of Voltage-Gated Ion Channels by Inhalational Anesthetics. Biophysical Journal. 109(10). 2003–2011. 41 indexed citations
14.
Liang, Qiansheng, et al.. (2015). Positive Allosteric Modulation of Kv Channels by Sevoflurane: Insights into the Structural Basis of Inhaled Anesthetic Action. PLoS ONE. 10(11). e0143363–e0143363. 24 indexed citations
15.
Barber, Annika F., et al.. (2012). Hinge-bending motions in the pore domain of a bacterial voltage-gated sodium channel. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(9). 2120–2125. 28 indexed citations
16.
Barber, Annika F., et al.. (2011). Molecular Mapping of General Anesthetic Sites in a Voltage-Gated Ion Channel. Biophysical Journal. 101(7). 1613–1622. 28 indexed citations
17.
Delemotte, Lucie, Werner Treptow, Michael L. Klein, & Mounir Tarek. (2010). Correction. Biophysical Journal. 99(11). 3859–3859. 1 indexed citations
18.
Treptow, Werner & Mounir Tarek. (2006). Environment of the Gating Charges in the Kv1.2 Shaker Potassium Channel. Biophysical Journal. 90(9). L64–L66. 79 indexed citations
19.
Treptow, Werner, et al.. (2002). Non‐native interactions, effective contact order, and protein folding: A mutational investigation with the energetically frustrated hydrophobic model. Proteins Structure Function and Bioinformatics. 49(2). 167–180. 27 indexed citations
20.
Treptow, Werner, et al.. (2001). Folding simulations of a three-dimensional protein model with a nonspecific hydrophobic energy function. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(1). 11912–11912. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kimberly Matulef Breakdown of academic impact, for papers by Sudha Chakrapani Breakdown of academic impact, for papers by Zara A. Sands Breakdown of academic impact, for papers by Stephan A. Pless Breakdown of academic impact, for papers by Huaizong Shen Breakdown of academic impact, for papers by Marina A. Kasimova Breakdown of academic impact, for papers by Zhangqiang Li Breakdown of academic impact, for papers by Tamer M. Gamal El-Din Breakdown of academic impact, for papers by Jason D. Galpin Breakdown of academic impact, for papers by Wayland W.L. Cheng
Rankless by CCL
2026