Peter J. Schüffler
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Health Informatics top 5%
Papers in
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- AI in cancer detection 17
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- Radiomics and Machine Learning in Medical Imaging 11
- Co-authors
- Joachim M. Buhmann (15 shared papers)Peter J. Wild (6 shared papers)Charlotte Giesen (2 shared papers)Denis Schapiro (2 shared papers)Hao A. O. Wang (2 shared papers)Bernd Bodenmiller (2 shared papers)Simone Brandt (2 shared papers)Daniel Grolimund (1 shared paper)
- Journals
- Journal of Pathology Informatics (6 papers)Computers in Biology and Medicine (3 papers)Archives of Pathology & Laboratory Medicine (2 papers)Abdominal Radiology (1 paper)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Peter J. Schüffler
45 papers receiving 2.2k citations
Peter J. Schüffler's Hit Papers
Peers
Comparison fields: 5 of 120
- Biophysics 383
- Health Informatics 32
- Cancer Research 243
- Spectroscopy 283
- Oncology 410
Countries citing papers authored by Peter J. Schüffler
This map shows the geographic impact of Peter J. Schüffler'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 Peter J. Schüffler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Schüffler more than expected).
Fields of papers citing papers by Peter J. Schüffler
This network shows the impact of papers produced by Peter J. Schüffler. 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 Peter J. Schüffler. The network helps show where Peter J. Schüffler may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter J. Schüffler, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry Hit paper breakdown → | 2014 | 1334 |
| 2 | 2019 | 133 | |
| 3 | 2009 | 78 | |
| 4 | 2015 | 69 | |
| 5 | 2022 | 65 | |
| 6 | 2013 | 52 | |
| 7 | 2013 | 45 | |
| 8 | 2015 | 43 | |
| 9 | 2016 | 41 | |
| 10 | 2017 | 36 | |
| 11 | 2017 | 35 | |
| 12 | 2018 | 23 | |
| 13 | 2009 | 20 | |
| 14 | 2013 | 20 | |
| 15 | 2021 | 17 | |
| 16 | 2019 | 15 | |
| 17 | 2012 | 15 | |
| 18 | 2012 | 15 | |
| 19 | 2013 | 14 | |
| 20 | 2013 | 13 |
About Peter J. Schüffler
Peter J. Schüffler is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Oncology and Biophysics, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Cell Image Analysis Techniques (7 papers), Medical Image Segmentation Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers), Cancer Genomics and Diagnostics (4 papers), Inflammatory Bowel Disease (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Biophysics (383 citations), Health Informatics (32 citations), Cancer Research (243 citations), Spectroscopy (283 citations) and Oncology (410 citations). Peter J. Schüffler has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Joachim M. Buhmann, Peter J. Wild, Charlotte Giesen, Denis Schapiro, Hao A. O. Wang, Bernd Bodenmiller, Simone Brandt, Daniel Grolimund, Bodo Hattendorf and Zsuzsanna Varga. Their work appears in journals such as Journal of Pathology Informatics, Computers in Biology and Medicine, Archives of Pathology & Laboratory Medicine, Abdominal Radiology and Genes Chromosomes and Cancer.
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.