Torsten John
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
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- Supramolecular Self-Assembly in Materials 6
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- Career Development and Diversity 5
- Co-authors
- Bernd Abel (14 shared papers)Lisandra L. Martin (10 shared papers)Herre Jelger Risselada (5 shared papers)Clemens Kubeil (3 shared papers)Mark Bathe (3 shared papers)Shanshan Li (2 shared papers)Xiao Wang (2 shared papers)Hyungmin Jun (2 shared papers)
- Journals
- Angewandte Chemie International Edition (5 papers)Chemical Science (2 papers)Biomacromolecules (1 paper)MedChemComm (1 paper)Nature Chemistry (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Torsten John
29 papers receiving 598 citations
Peers
Comparison fields: 5 of 77
- Biomaterials 113
- Microbiology 47
- Physiology 151
- Surfaces, Coatings and Films 38
- Molecular Biology 235
Countries citing papers authored by Torsten John
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
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-authors
The 25 scholars most cited alongside Torsten John, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2021 | 91 | |
| 3 | 2016 | 72 | |
| 4 | 2017 | 37 | |
| 5 | 2018 | 34 | |
| 6 | 2022 | 29 | |
| 7 | 2019 | 26 | |
| 8 | 2022 | 25 | |
| 9 | 2023 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2019 | 15 | |
| 12 | 2023 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2023 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2024 | 11 | |
| 20 | 2024 | 7 |
About Torsten John
Torsten John is a scholar working on Biomaterials, Safety Research, Physiology, Surfaces, Coatings and Films and Molecular Biology, having authored 31 papers that have together received 634 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Supramolecular Self-Assembly in Materials (6 papers), Career Development and Diversity (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Polymer Surface Interaction Studies (3 papers), Lipid Membrane Structure and Behavior (3 papers), Antimicrobial Peptides and Activities (2 papers) and Research, Science, and Academia (2 papers). The work is most often cited by research in Biomaterials (113 citations), Microbiology (47 citations), Physiology (151 citations), Surfaces, Coatings and Films (38 citations) and Molecular Biology (235 citations). Torsten John has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Bernd Abel, Lisandra L. Martin, Herre Jelger Risselada, Clemens Kubeil, Mark Bathe, Shanshan Li, Xiao Wang, Hyungmin Jun, Wah Keung Chiu and Annette G. Beck‐Sickinger. Their work appears in journals such as Angewandte Chemie International Edition, Chemical Science, Biomacromolecules, MedChemComm and Nature Chemistry.
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.