Peter J. Schüffler

46 papers receiving 2.1k citations

Hit Papers

Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry 2014 · 1.3k citations
1.3k20142026201820224008001.2k

Peers

Peter J. Schüffler
Comparison fields: 5 of 124
  • Biophysics 416
  • Health Informatics 39
  • Cancer Research 273
  • Oncology 483
  • Spectroscopy 288
Replace Michael Angelo with:
Michael Angelo United States
Zsuzsanna Varga Switzerland
Virgilia Macias United States
Brian D. Robinson United States
Mark Kriegsmann Germany
Denis Schapiro United States
Elton Rexhepaj Ireland
Fabio Pagni Italy
Vito Riccardo Tomaso Zanotelli Switzerland
Elena Provenzano United Kingdom
Peter J. Schüffler relative to Michael Angelo United States Michael Angelo's profile →
Citations per field
00.5×6.5×
Michael Angelo · 1×
Citations per year

Countries citing papers authored by Peter J. Schüffler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter J. Schüffler Line = papers co-authored together Peter J. Schüffler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20241
5 20242
6 20242
7 20248
8 20236
9 20235
10 20228
11 201823
12 201734
13 201569
14
Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry
Hit paper breakdown →
20141292
15 201345
16 201313
17 201214
18 201217
19 201215
20 200920

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.

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