Peter J. Schüffler
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Health Informatics top 5%
Papers in
- Biophysics 10
- Cell Image Analysis Techniques 10
- Co-authors
- Joachim M. BuhmannPeter J. WildDenis SchapiroCharlotte GiesenBernd BodenmillerHao A. O. WangSimone BrandtZsuzsanna Varga
- Journals
- Journal of Pathology Informatics (6 papers)Archives of Pathology & Laboratory Medicine (2 papers)Computers in Biology and Medicine (2 papers)Spine (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Peter J. Schüffler
46 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Biophysics 416
- Health Informatics 39
- Cancer Research 273
- Oncology 483
- Spectroscopy 288
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 8 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 34 | |
| 13 | 2015 | 69 | |
| 14 | Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry Hit paper breakdown → | 2014 | 1292 |
| 15 | 2013 | 45 | |
| 16 | 2013 | 13 | |
| 17 | 2012 | 14 | |
| 18 | 2012 | 17 | |
| 19 | 2012 | 15 | |
| 20 | 2009 | 20 |
About Peter J. Schüffler
Peter J. Schüffler is a scholar working on Biophysics, Health Informatics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 49 papers that have together received 2.2k indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Cell Image Analysis Techniques (10 papers), Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), Cancer Genomics and Diagnostics (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Biophysics (416 citations), Health Informatics (39 citations), Cancer Research (273 citations), Oncology (483 citations) and Spectroscopy (288 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, Denis Schapiro, Charlotte Giesen, Bernd Bodenmiller, Hao A. O. Wang, Simone Brandt, Zsuzsanna Varga, Detlef Günther and Daniel Grolimund. Their work appears in journals such as Journal of Pathology Informatics, Archives of Pathology & Laboratory Medicine, Computers in Biology and Medicine, Spine and Journal of Proteome Research.
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.