Lorenz Lamm
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Surfaces, Coatings and Films top 10%
- Electron and X-Ray Spectroscopy Techniques
Papers in
-
- Advanced Electron Microscopy Techniques and Applications 6
- Co-authors
- Tingying Peng (9 shared papers)Ricardo Diogo Righetto (6 shared papers)Ben Engel (6 shared papers)Wojciech Wietrzyñski (4 shared papers)Antonio Martínez-Sánchez (3 shared papers)Damien Larivière (1 shared paper)Charles Kervrann (1 shared paper)Sahradha Albert (1 shared paper)
- Journals
- Journal of Analytical Toxicology (2 papers)Cell (1 paper)iScience (1 paper)IEEE Transactions on Medical Imaging (1 paper)Nature Methods (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Lorenz Lamm
15 papers receiving 342 citations
Peers
Comparison fields: 5 of 83
- Structural Biology 144
- Surfaces, Coatings and Films 63
- Biophysics 34
- Health Informatics 6
- Computational Mathematics 2
Countries citing papers authored by Lorenz Lamm
This map shows the geographic impact of Lorenz Lamm'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 Lorenz Lamm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz Lamm more than expected).
Fields of papers citing papers by Lorenz Lamm
This network shows the impact of papers produced by Lorenz Lamm. 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 Lorenz Lamm. The network helps show where Lorenz Lamm may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorenz Lamm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2022 | 55 | |
| 3 | 2025 | 31 | |
| 4 | 2024 | 28 | |
| 5 | 2008 | 24 | |
| 6 | 2022 | 20 | |
| 7 | 2009 | 17 | |
| 8 | 2023 | 14 | |
| 9 | 2026 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2025 | 1 |
About Lorenz Lamm
Lorenz Lamm is a scholar working on Structural Biology, Physiology, Biophysics, Spectroscopy and Surfaces, Coatings and Films, having authored 15 papers that have together received 342 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (6 papers), Analytical Chemistry and Chromatography (2 papers), Computational Physics and Python Applications (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Cell Image Analysis Techniques (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Structural Biology (144 citations), Surfaces, Coatings and Films (63 citations), Biophysics (34 citations), Health Informatics (6 citations) and Computational Mathematics (2 citations). Lorenz Lamm has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Tingying Peng, Ricardo Diogo Righetto, Ben Engel, Wojciech Wietrzyñski, Antonio Martínez-Sánchez, Damien Larivière, Charles Kervrann, Sahradha Albert, Emmanuel Moebel and Julio O. Ortiz. Their work appears in journals such as Journal of Analytical Toxicology, Cell, iScience, IEEE Transactions on Medical Imaging and Nature Methods.
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.