Torsten John

749 total citations
27 papers, 503 citations indexed

About

Torsten John is a scholar working on Molecular Biology, Biomaterials and Physiology. According to data from OpenAlex, Torsten John has authored 27 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Biomaterials and 7 papers in Physiology. Recurrent topics in Torsten John's work include Supramolecular Self-Assembly in Materials (9 papers), Alzheimer's disease research and treatments (7 papers) and Lipid Membrane Structure and Behavior (6 papers). Torsten John is often cited by papers focused on Supramolecular Self-Assembly in Materials (9 papers), Alzheimer's disease research and treatments (7 papers) and Lipid Membrane Structure and Behavior (6 papers). Torsten John collaborates with scholars based in Germany, Australia and United States. Torsten John's co-authors include Bernd Abel, Lisandra L. Martin, Herre Jelger Risselada, Clemens Kubeil, Annette G. Beck‐Sickinger, Mark Bathe, Manfred Wießler, Xiao Wang, Shanshan Li and Wah Chiu and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Advanced Functional Materials.

In The Last Decade

Torsten John

25 papers receiving 502 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Torsten John 304 155 140 88 85 27 503
Christian Schwieger 445 1.5× 130 0.8× 39 0.3× 102 1.2× 138 1.6× 40 766
Emmanouil Kasotakis 306 1.0× 345 2.2× 40 0.3× 113 1.3× 150 1.8× 20 601
Pallavi M. Gosavi 359 1.2× 246 1.6× 43 0.3× 78 0.9× 85 1.0× 13 628
Cécile Lara 333 1.1× 366 2.4× 215 1.5× 71 0.8× 138 1.6× 8 750
Conor Whitehouse 208 0.7× 231 1.5× 17 0.1× 52 0.6× 64 0.8× 8 361
P. Chen 503 1.7× 524 3.4× 31 0.2× 68 0.8× 65 0.8× 16 778
Thaís F. Schmidt 376 1.2× 69 0.4× 16 0.1× 117 1.3× 49 0.6× 13 521
Dóra Balogh 550 1.8× 117 0.8× 38 0.3× 207 2.4× 239 2.8× 21 790
Hosam Gharib Abdelhady 263 0.9× 106 0.7× 20 0.1× 109 1.2× 40 0.5× 27 486
Alexander Dhaliwal 184 0.6× 80 0.5× 38 0.3× 159 1.8× 48 0.6× 14 394

Countries citing papers authored by Torsten John

Since Specialization
Citations

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

Fields of papers citing papers by Torsten John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten John

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten John. A scholar is included among the top collaborators of Torsten John 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 Torsten John. Torsten John 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.
2.
Hayn, Manuel, et al.. (2024). Hybrid Materials From Peptide Nanofibrils and Magnetic Beads to Concentrate and Isolate Virus Particles. Advanced Functional Materials. 34(27). 3 indexed citations
3.
Choo, Yvonne Shuen Lann, Hooi Ling Lee, Vanessa Nascimento, et al.. (2024). Towards a Sustainable Future: Challenges and Opportunities for Early‐Career Chemists. Angewandte Chemie International Edition. 63(35). e202319892–e202319892. 3 indexed citations
4.
Aderinto, Stephen Opeyemi, et al.. (2024). Iridium(iii)-based minor groove binding complexes as DNA photocleavage agents. Dalton Transactions. 53(17). 7282–7291. 8 indexed citations
5.
Gorman, J.A., Stephanie M. Hart, Torsten John, et al.. (2024). Sculpting photoproducts with DNA origami. Chem. 10(5). 1553–1575. 5 indexed citations
6.
John, Torsten, Lisandra L. Martin, & Bernd Abel. (2023). Peptide Self‐Assembly into Amyloid Fibrils at Hard and Soft Interfaces—From Corona Formation to Membrane Activity. Macromolecular Bioscience. 23(6). e2200576–e2200576. 13 indexed citations
7.
John, Torsten, et al.. (2023). Engaging Early‐Career Scientists in Global Policy‐Making. Angewandte Chemie International Edition. 62(34). e202217841–e202217841. 8 indexed citations
8.
John, Torsten, et al.. (2023). Lipid oxidation controls peptide self-assembly near membranes through a surface attraction mechanism. Chemical Science. 14(14). 3730–3741. 11 indexed citations
9.
John, Torsten, Lisandra L. Martin, Herre Jelger Risselada, & Bernd Abel. (2022). Curvature model for nanoparticle size effects on peptide fibril stability and molecular dynamics simulation data. Data in Brief. 45. 108598–108598. 2 indexed citations
10.
John, Torsten, Juliane Adler, Christian Elsner, et al.. (2022). Mechanistic insights into the size-dependent effects of nanoparticles on inhibiting and accelerating amyloid fibril formation. Journal of Colloid and Interface Science. 622. 804–818. 27 indexed citations
11.
John, Torsten, et al.. (2022). Interview with Prof. Dr. Benjamin List: Nobel Laureate in Chemistry 2021. Chemistry - A European Journal. 28(44). e202201236–e202201236. 5 indexed citations
12.
Wang, Xiao, Shanshan Li, Hyungmin Jun, et al.. (2022). Planar 2D wireframe DNA origami. Science Advances. 8(20). eabn0039–eabn0039. 21 indexed citations
13.
Jun, Hyungmin, Xiao Wang, William P. Bricker, et al.. (2021). Rapid prototyping of arbitrary 2D and 3D wireframe DNA origami. Nucleic Acids Research. 49(18). 10265–10274. 63 indexed citations
14.
John, Torsten, George W. Greene, Nitin A. Patil, et al.. (2019). Adsorption of Amyloidogenic Peptides to Functionalized Surfaces Is Biased by Charge and Hydrophilicity. Langmuir. 35(45). 14522–14531. 15 indexed citations
15.
John, Torsten, et al.. (2018). Impact of nanoparticles on amyloid peptide and protein aggregation: a review with a focus on gold nanoparticles. Nanoscale. 10(45). 20894–20913. 120 indexed citations
16.
John, Torsten, Bernd Abel, & Lisandra L. Martin. (2018). The Quartz Crystal Microbalance with Dissipation Monitoring (QCM-D) Technique Applied to the Study of Membrane-Active Peptides. Australian Journal of Chemistry. 71(7). 543–546. 11 indexed citations
17.
Martin, Lisandra L., Clemens Kubeil, Stefania Piantavigna, et al.. (2018). Amyloid aggregation and membrane activity of the antimicrobial peptide uperin 3.5. Peptide Science. 110(3). 31 indexed citations
18.
John, Torsten, et al.. (2017). How kanamycin A interacts with bacterial and mammalian mimetic membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(11). 2242–2252. 33 indexed citations
19.
John, Torsten, Zhi Xiang Voo, Clemens Kubeil, et al.. (2017). Effects of guanidino modified aminoglycosides on mammalian membranes studied using a quartz crystal microbalance. MedChemComm. 8(5). 1112–1120. 10 indexed citations
20.
John, Torsten, et al.. (2016). Multifunktionale Beschichtung verbessert Zelladhäsion auf Titan durch kooperativ wirkende Peptide. Angewandte Chemie. 128(15). 4907–4911. 5 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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