Frank Krämer
Impact in
- Health Informatics top 2%
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
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- Bioinformatics and Genomic Networks 16
- Biomedical Text Mining and Ontologies 6
- Wnt/β-catenin signaling in development and cancer 5
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- Medical Image Segmentation Techniques 7
- Co-authors
- Dominik Müller (15 shared papers)Iñaki Soto‐Rey (10 shared papers)Tim Beißbarth (24 shared papers)Marian Grade (12 shared papers)Annalen Bleckmann (7 shared papers)Jochen Gaedcke (11 shared papers)Melanie Spitzner (6 shared papers)Steven A. Johnsen (5 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Biology (2 papers)Bioinformatics (2 papers)Carcinogenesis (2 papers)Journal of Biomedical Informatics (2 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Frank Krämer
63 papers receiving 2.3k citations
Frank Krämer's Hit Papers
Peers
Comparison fields: 5 of 130
- Health Informatics 91
- Cancer Research 253
- Computer Vision and Pattern Recognition 355
- Oncology 327
- Molecular Biology 733
Countries citing papers authored by Frank Krämer
This map shows the geographic impact of Frank Krämer'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 Krämer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Krämer more than expected).
Fields of papers citing papers by Frank Krämer
This network shows the impact of papers produced by Frank Krämer. 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 Krämer. The network helps show where Frank Krämer may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Krämer, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Towards a guideline for evaluation metrics in medical image segmentation Hit paper breakdown → | 2022 | 400 |
| 2 | 2011 | 132 | |
| 3 | 2010 | 114 | |
| 4 | 2012 | 113 | |
| 5 | 2017 | 113 | |
| 6 | 2013 | 111 | |
| 7 | 2021 | 103 | |
| 8 | 2021 | 90 | |
| 9 | 2022 | 86 | |
| 10 | 2021 | 85 | |
| 11 | 2011 | 81 | |
| 12 | 2020 | 72 | |
| 13 | 2010 | 67 | |
| 14 | 2015 | 67 | |
| 15 | 2013 | 63 | |
| 16 | 2012 | 61 | |
| 17 | 2019 | 53 | |
| 18 | 2012 | 42 | |
| 19 | 2014 | 34 | |
| 20 | 2019 | 30 |
About Frank Krämer
Frank Krämer is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Health Information Management, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Medical Image Segmentation Techniques (7 papers), Biomedical Text Mining and Ontologies (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Electronic Health Records Systems (5 papers), AI in cancer detection (4 papers), MicroRNA in disease regulation (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (91 citations), Cancer Research (253 citations), Computer Vision and Pattern Recognition (355 citations), Oncology (327 citations) and Molecular Biology (733 citations). Frank Krämer has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Dominik Müller, Iñaki Soto‐Rey, Tim Beißbarth, Marian Grade, Annalen Bleckmann, Jochen Gaedcke, Melanie Spitzner, Steven A. Johnsen, Β. Michael Ghadimi and Georg Emons. Their work appears in journals such as International Journal of Molecular Sciences, Biology, Bioinformatics, Carcinogenesis and Journal of Biomedical Informatics.
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.