Frank Sieckmann
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
Papers in
-
- Advanced Fluorescence Microscopy Techniques 4
- Cell Image Analysis Techniques 3
-
- Single-cell and spatial transcriptomics 2
- Wnt/β-catenin signaling in development and cancer 1
- Co-authors
- Martin Schorb (2 shared papers)Fátima Verı́ssimo (1 shared paper)Jutta Bulkescher (1 shared paper)Tze Heng Tan (1 shared paper)Jan Ellenberg (1 shared paper)Thomas Walter (1 shared paper)Christian Conrad (1 shared paper)Arthur Edelstein (1 shared paper)
- Journals
- Nature Methods (1 paper)Journal of Structural Biology (1 paper)Biotechnology Journal (1 paper)Novartis Foundation symposium (1 paper)Methods in cell biology (1 paper)
- Partner nations
- GermanyUnited StatesChile
In The Last Decade
Frank Sieckmann
7 papers receiving 271 citations
Peers
Comparison fields: 5 of 59
- Structural Biology 81
- Biophysics 118
- Surfaces, Coatings and Films 24
- Reproductive Medicine 23
- Molecular Biology 152
Countries citing papers authored by Frank Sieckmann
This map shows the geographic impact of Frank Sieckmann'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 Frank Sieckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Sieckmann more than expected).
Fields of papers citing papers by Frank Sieckmann
This network shows the impact of papers produced by Frank Sieckmann. 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 Frank Sieckmann. The network helps show where Frank Sieckmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Sieckmann, 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 | 2011 | 100 | |
| 2 | 2016 | 82 | |
| 3 | Adhesiveness of the apical surface of uterine epithelial cells: the role of junctional complex integrity. | 1996 | 49 |
| 4 | 2001 | 24 | |
| 5 | 2011 | 11 | |
| 6 | 2017 | 5 | |
| 7 | 2003 | 2 |
About Frank Sieckmann
Frank Sieckmann is a scholar working on Biophysics, Molecular Biology, Structural Biology, Surfaces, Coatings and Films and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 273 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (4 papers), Cell Image Analysis Techniques (3 papers), Single-cell and spatial transcriptomics (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Tendon Structure and Treatment (1 paper), Optical measurement and interference techniques (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Structural Biology (81 citations), Biophysics (118 citations), Surfaces, Coatings and Films (24 citations), Reproductive Medicine (23 citations) and Molecular Biology (152 citations). Frank Sieckmann has collaborated with scholars based in Germany, United States and Chile. Frequent co-authors include Martin Schorb, Fátima Verı́ssimo, Jutta Bulkescher, Tze Heng Tan, Jan Ellenberg, Thomas Walter, Christian Conrad, Arthur Edelstein, Rainer Pepperkok and Urban Liebel. Their work appears in journals such as Nature Methods, Journal of Structural Biology, Biotechnology Journal, Novartis Foundation symposium and Methods in cell biology.
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.