Markus Rempfler
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Cell Image Analysis Techniques 4
- Co-authors
- Prisca LiberaliUrs MayrPetr StrnadPanagiotis PapasaikasMichael StadlerDenise SerraGuglielmo RomaAndrea Boni
- Journals
- Medical Image Analysis (2 papers)Radiology Artificial Intelligence (1 paper)The EMBO Journal (1 paper)Nature Cell Biology (1 paper)Nature (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Markus Rempfler
12 papers receiving 589 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cell Biology 184
- Biophysics 50
- Aging 14
- Oncology 208
- Biomedical Engineering 221
Countries citing papers authored by Markus Rempfler
This map shows the geographic impact of Markus Rempfler'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 Markus Rempfler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Rempfler more than expected).
Fields of papers citing papers by Markus Rempfler
This network shows the impact of papers produced by Markus Rempfler. 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 Markus Rempfler. The network helps show where Markus Rempfler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Rempfler, 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 | 2023 | 13 | |
| 2 | 2021 | 21 | |
| 3 | 2021 | 112 | |
| 4 | 2020 | 30 | |
| 5 | Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations. | 2019 | 2 |
| 6 | Self-organization and symmetry breaking in intestinal organoid development Hit paper breakdown → | 2019 | 372 |
| 7 | 2018 | 12 | |
| 8 | 2017 | 3 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 5 | |
| 11 | 2015 | 16 | |
| 12 | 2014 | 5 |
About Markus Rempfler
Markus Rempfler is a scholar working on Structural Biology, Biophysics, Aging, Computer Vision and Pattern Recognition and Endocrine and Autonomic Systems, having authored 12 papers that have together received 594 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Medical Image Segmentation Techniques (4 papers), Single-cell and spatial transcriptomics (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Medical Imaging and Analysis (2 papers), Cancer Cells and Metastasis (2 papers), Image Processing Techniques and Applications (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Cell Biology (184 citations), Biophysics (50 citations), Aging (14 citations), Oncology (208 citations) and Biomedical Engineering (221 citations). Markus Rempfler has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Prisca Liberali, Urs Mayr, Petr Strnad, Panagiotis Papasaikas, Michael Stadler, Denise Serra, Guglielmo Roma, Andrea Boni, Ilya Lukonin and Annick Waldt. Their work appears in journals such as Medical Image Analysis, Radiology Artificial Intelligence, The EMBO Journal, Nature Cell Biology and Nature.
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.