Denis Schapiro
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
Papers in
-
- Single-cell and spatial transcriptomics 17
- Gene expression and cancer classification 3
- Advanced Biosensing Techniques and Applications 3
- Molecular Biology Techniques and Applications 2
- CRISPR and Genetic Engineering 2
-
- Cell Image Analysis Techniques 9
- Co-authors
- Bernd Bodenmiller (10 shared papers)Charlotte Giesen (3 shared papers)Zsuzsanna Varga (2 shared papers)Hao A. O. Wang (3 shared papers)Joachim M. Buhmann (2 shared papers)Peter J. Schüffler (2 shared papers)Simone Brandt (1 shared paper)Detlef Günther (2 shared papers)
- Journals
- Nature Methods (4 papers)Nature Communications (2 papers)Cell Reports (2 papers)Communications Biology (2 papers)Cell Metabolism (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Denis Schapiro
22 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Biophysics 808
- Molecular Biology 2.4k
- Cancer Research 494
- Immunology 678
- Oncology 614
Countries citing papers authored by Denis Schapiro
This map shows the geographic impact of Denis Schapiro'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 Denis Schapiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Schapiro more than expected).
Fields of papers citing papers by Denis Schapiro
This network shows the impact of papers produced by Denis Schapiro. 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 Denis Schapiro. The network helps show where Denis Schapiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Denis Schapiro, 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 23 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 | 1292 |
| 2 | High-definition spatial transcriptomics for in situ tissue profiling Hit paper breakdown → | 2019 | 705 |
| 3 | histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data Hit paper breakdown → | 2017 | 375 |
| 4 | 2017 | 205 | |
| 5 | 2019 | 191 | |
| 6 | 2019 | 150 | |
| 7 | 2022 | 115 | |
| 8 | 2022 | 44 | |
| 9 | 2015 | 43 | |
| 10 | 2022 | 32 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 30 | |
| 13 | 2023 | 28 | |
| 14 | 2022 | 27 | |
| 15 | 2019 | 26 | |
| 16 | 2024 | 14 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2020 | 2 |
About Denis Schapiro
Denis Schapiro is a scholar working on Molecular Biology, Biophysics, Oncology, Cancer Research and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 3.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (17 papers), Cell Image Analysis Techniques (9 papers), Gene expression and cancer classification (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Cancer Cells and Metastasis (2 papers), Molecular Biology Techniques and Applications (2 papers), CRISPR and Genetic Engineering (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Biophysics (808 citations), Molecular Biology (2.4k citations), Cancer Research (494 citations), Immunology (678 citations) and Oncology (614 citations). Denis Schapiro has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Bernd Bodenmiller, Charlotte Giesen, Zsuzsanna Varga, Hao A. O. Wang, Joachim M. Buhmann, Peter J. Schüffler, Simone Brandt, Detlef Günther, Daniel Grolimund and Nevena Zivanovic. Their work appears in journals such as Nature Methods, Nature Communications, Cell Reports, Communications Biology and Cell Metabolism.
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.