Paul Wrede

2.8k total citations · 2 hit papers
63 papers, 2.2k citations indexed

About

Paul Wrede is a scholar working on Molecular Biology, Biomedical Engineering and Condensed Matter Physics. According to data from OpenAlex, Paul Wrede has authored 63 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 17 papers in Biomedical Engineering and 13 papers in Condensed Matter Physics. Recurrent topics in Paul Wrede's work include Machine Learning in Bioinformatics (13 papers), Micro and Nano Robotics (13 papers) and RNA and protein synthesis mechanisms (11 papers). Paul Wrede is often cited by papers focused on Machine Learning in Bioinformatics (13 papers), Micro and Nano Robotics (13 papers) and RNA and protein synthesis mechanisms (11 papers). Paul Wrede collaborates with scholars based in Germany, Switzerland and Türkiye. Paul Wrede's co-authors include Gisbert Schneider, Metin Sitti, Amirreza Aghakhani, Volker A. Erdmann, Öncay Yaşa, Ugur Bozuyuk, Johannes Schuchhardt, A Rich, Ola Engkvist and Alexander Rich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Paul Wrede

62 papers receiving 2.1k citations

Hit Papers

Acoustically powered surface-slipping mobile microrobots 2020 2026 2022 2024 2020 2025 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Wrede Germany 27 1.2k 502 495 319 238 63 2.2k
Andrzej Kloczkowski United States 29 1.7k 1.4× 228 0.5× 66 0.1× 326 1.0× 64 0.3× 186 3.0k
Petia M. Vlahovska United States 34 795 0.7× 1.3k 2.5× 457 0.9× 14 0.0× 139 0.6× 91 3.1k
Deepak Kumar Saini India 27 934 0.8× 436 0.9× 232 0.5× 21 0.1× 64 0.3× 119 2.3k
Qiang Shao China 28 1.4k 1.1× 174 0.3× 31 0.1× 318 1.0× 58 0.2× 148 2.5k
Stefan Walter Germany 29 2.0k 1.7× 267 0.5× 57 0.1× 46 0.1× 46 0.2× 87 3.3k
Jooyoung Lee South Korea 27 1.9k 1.6× 165 0.3× 97 0.2× 325 1.0× 12 0.1× 69 3.0k
César A. López United States 22 2.2k 1.8× 410 0.8× 44 0.1× 61 0.2× 19 0.1× 60 3.5k
David J. Clarke United Kingdom 31 1.2k 1.0× 243 0.5× 255 0.5× 22 0.1× 24 0.1× 100 2.5k
Sergio Madurga Spain 20 725 0.6× 217 0.4× 28 0.1× 122 0.4× 25 0.1× 75 1.6k
Ahmad S. Khalil United States 33 3.9k 3.2× 864 1.7× 28 0.1× 61 0.2× 59 0.2× 67 5.6k

Countries citing papers authored by Paul Wrede

Since Specialization
Citations

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

Fields of papers citing papers by Paul Wrede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Wrede

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Wrede. A scholar is included among the top collaborators of Paul Wrede 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 Wrede. Paul Wrede 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.
Wrede, Paul, et al.. (2025). Synergistic integration of materials in medical microrobots for advanced imaging and actuation. Nature Reviews Materials. 10(12). 888–906. 5 indexed citations
2.
Dogan, Nihal Olcay, Paul Wrede, Jelena Lazović, et al.. (2024). Immune Cell‐Based Microrobots for Remote Magnetic Actuation, Antitumor Activity, and Medical Imaging. Advanced Healthcare Materials. 13(23). e2400711–e2400711. 10 indexed citations
3.
Kim, Dong Wook, Paul Wrede, Héctor Estrada, et al.. (2024). Hierarchical Nanostructures as Acoustically Manipulatable Multifunctional Agents in Dynamic Fluid Flow (Adv. Mater. 50/2024). Advanced Materials. 36(50).
4.
Bozuyuk, Ugur, Paul Wrede, Erdost Yıldız, & Metin Sitti. (2024). Roadmap for Clinical Translation of Mobile Microrobotics. Advanced Materials. 36(23). e2311462–e2311462. 26 indexed citations
5.
Yıldız, Erdost, Andrés Rodríguez‐Camargo, Liang Yao, et al.. (2023). Designing Covalent Organic Framework‐Based Light‐Driven Microswimmers toward Therapeutic Applications. Advanced Materials. 35(25). e2301126–e2301126. 55 indexed citations
6.
Perna, Anna Maria, et al.. (2013). Scrutinizing MHC-I Binding Peptides and Their Limits of Variation. PLoS Computational Biology. 9(6). e1003088–e1003088. 28 indexed citations
7.
Wang, Zhenya, Weidong Chai, Michael Burwinkel, et al.. (2013). Inhibitory Influence of Enterococcus faecium on the Propagation of Swine Influenza A Virus In Vitro. PLoS ONE. 8(1). e53043–e53043. 64 indexed citations
8.
Sachsenröder, Jana, Sven Twardziok, Jens A. Hammerl, et al.. (2012). Simultaneous Identification of DNA and RNA Viruses Present in Pig Faeces Using Process-Controlled Deep Sequencing. PLoS ONE. 7(4). e34631–e34631. 73 indexed citations
9.
Chai, Weidong, Michael Burwinkel, Zhenya Wang, et al.. (2012). Antiviral effects of a probiotic Enterococcus faecium strain against transmissible gastroenteritis coronavirus. Archives of Virology. 158(4). 799–807. 69 indexed citations
10.
Jäger, Natalie, Jan A. Hiss, Florian Losch, et al.. (2010). Attractors in Sequence Space: Agent‐Based Exploration of MHC I Binding Peptides. Molecular Informatics. 29(1-2). 65–74. 4 indexed citations
11.
Scharek‐Tedin, Lydia, Matthias Filter, David Taras, Paul Wrede, & Michael F.G. Schmidt. (2009). Influence of anEnterococcus faeciumprobiotic on the development of Peyer's patches B cells in piglets. Archives of Animal Nutrition. 63(5). 343–355. 13 indexed citations
12.
Wrede, Paul. (2007). Molecular biology: Self-sustaining chemistry. Chemistry Central Journal. 1(1). 25–25. 2 indexed citations
13.
Losch, Florian, et al.. (2007). Evidence for a large double-cruciform DNA structure on the X chromosome of human and chimpanzee. Human Genetics. 122(3-4). 337–343. 10 indexed citations
14.
Schneider, Gisbert & Paul Wrede. (1998). Artificial neural networks for computer-based molecular design. Progress in Biophysics and Molecular Biology. 70(3). 175–222. 175 indexed citations
15.
Schuchhardt, Johannes, Gisbert Schneider, Joachim Reichelt, Dietmar Schomburg, & Paul Wrede. (1996). Local structural motifs of protein backbones are classified by self-organizing neural networks. Protein Engineering Design and Selection. 9(10). 833–842. 53 indexed citations
16.
Schneider, Gisbert, Johannes Schuchhardt, & Paul Wrede. (1995). Development of simple fitness landscapes for peptides by artificial neural filter systems. Biological Cybernetics. 73(3). 245–254. 15 indexed citations
18.
Schneider, Gisbert, Johannes Schuchhardt, & Paul Wrede. (1994). Artificial neural networks and simulated molecular evolution are potential tools for sequence-oriented protein design. Computer applications in the biosciences. 10(6). 635–645. 29 indexed citations
19.
Bauer, Ulrich, et al.. (1992). In vitro synthesis of bacterio-opsin: Integration into microsomal membranes. Biochemical and Biophysical Research Communications. 187(3). 1480–1485. 3 indexed citations
20.
Dencher, Norbert A., et al.. (1988). Bacteriorhodopsin precursor is processed in two steps. European Journal of Biochemistry. 174(1). 51–57. 25 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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