Denis Schapiro

9.7k total citations · 3 hit papers
23 papers, 3.3k citations indexed

About

Denis Schapiro is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Denis Schapiro has authored 23 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Biophysics and 3 papers in Oncology. Recurrent topics in Denis Schapiro's work include Single-cell and spatial transcriptomics (17 papers), Cell Image Analysis Techniques (9 papers) and Advanced Biosensing Techniques and Applications (3 papers). Denis Schapiro is often cited by papers focused on Single-cell and spatial transcriptomics (17 papers), Cell Image Analysis Techniques (9 papers) and Advanced Biosensing Techniques and Applications (3 papers). Denis Schapiro collaborates with scholars based in United States, Switzerland and Germany. Denis Schapiro's co-authors include Bernd Bodenmiller, Charlotte Giesen, Zsuzsanna Varga, Hao A. O. Wang, Peter J. Schüffler, Joachim M. Buhmann, Nevena Zivanovic, Bodo Hattendorf, Detlef Günther and Daniel Grolimund and has published in prestigious journals such as Science, Nature Communications and Nature Neuroscience.

In The Last Decade

Denis Schapiro

22 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry

2014 1.3k citations Charlotte Giesen, Hao A. O. Wang et al. Nature Methods profile →
High-definition spatial transcriptomics for in situ tissue profiling

2019 705 citations Sanja Vicković, Gökçen Eraslan et al. Nature Methods profile →
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data

2017 375 citations Denis Schapiro, Hartland W. Jackson et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Denis Schapiro United States	15	2.4k	808	678	614	494	23	3.3k
Michael Angelo United States	19	1.7k 0.7×	561 0.7×	580 0.9×	580 0.9×	421 0.9×	44	3.1k
Vito Riccardo Tomaso Zanotelli Switzerland	14	2.2k 0.9×	497 0.6×	884 1.3×	921 1.5×	466 0.9×	17	3.6k
Zsuzsanna Varga Switzerland	8	1.5k 0.6×	579 0.7×	489 0.7×	600 1.0×	363 0.7×	32	2.3k
Jia‐Ren Lin United States	27	2.0k 0.8×	520 0.6×	457 0.7×	689 1.1×	363 0.7×	56	3.0k
Kara L. Davis United States	21	2.6k 1.1×	748 0.9×	1.4k 2.1×	1.0k 1.7×	431 0.9×	74	4.4k
Jonathan M. Irish United States	34	2.6k 1.1×	460 0.6×	1.8k 2.7×	1.5k 2.5×	562 1.1×	109	5.2k
Matthew B. Hale United States	10	1.4k 0.6×	521 0.6×	518 0.8×	423 0.7×	252 0.5×	14	2.2k
Peter J. Schüffler Switzerland	16	1.1k 0.5×	416 0.5×	305 0.4×	483 0.8×	273 0.6×	49	2.2k
David Entenberg United States	31	1.7k 0.7×	329 0.4×	989 1.5×	1.7k 2.8×	858 1.7×	79	4.0k
Michelle D. Tadmor United States	6	2.4k 1.0×	791 1.0×	1.1k 1.7×	483 0.8×	398 0.8×	6	3.5k

Countries citing papers authored by Denis Schapiro

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Denis Schapiro

This figure shows the co-authorship network connecting the top 25 collaborators of Denis Schapiro. A scholar is included among the top collaborators of Denis Schapiro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denis Schapiro. Denis Schapiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tkachev, Sasha, Florian Georgescauld, Tyler Levy, et al.. (2025). Lifting the curse from high-dimensional data: automated projection pursuit clustering for a variety of biological data modalities. GigaScience. 14. 2 indexed citations

Wünnemann, Florian, Junedh Amrute, Jovan Tanevski, et al.. (2025). Spatial multiomics of acute myocardial infarction reveals immune cell infiltration through the endocardium. Nature Cardiovascular Research. 4(10). 1345–1362.

Caprio, Lindsay, Luke L. Cai, Shivem B. Shah, et al.. (2025). micronuclAI enables automated quantification of micronuclei for assessment of chromosomal instability. Communications Biology. 8(1). 361–361. 1 indexed citations

Tanevski, Jovan, et al.. (2025). Learning tissue representation by identification of persistent local patterns in spatial omics data. Nature Communications. 16(1). 4071–4071. 3 indexed citations

Badia-i-Mompel, Pau, Ricardo O. Ramirez Flores, Philipp Schäfer, et al.. (2024). Cell type mapping reveals tissue niches and interactions in subcortical multiple sclerosis lesions. Nature Neuroscience. 27(12). 2354–2365. 14 indexed citations

Skylaki, Stavroula, Hartland W. Jackson, Denis Schapiro, et al.. (2024). Identification of an embryonic differentiation stage marked by Sox1 and FoxA2 co-expression using combined cell tracking and high dimensional protein imaging. Nature Communications. 15(1). 7860–7860. 2 indexed citations

Schapiro, Denis, et al.. (2023). In silico tissue generation and power analysis for spatial omics. Nature Methods. 20(3). 424–431. 28 indexed citations

Hodis, Eran, Elena Torlai Triglia, John Kwon, et al.. (2022). Stepwise-edited, human melanoma models reveal mutations’ effect on tumor and microenvironment. Science. 376(6592). eabi8175–eabi8175. 32 indexed citations

Tanevski, Jovan, Ricardo O. Ramirez Flores, Attila Gábor, Denis Schapiro, & Julio Sáez-Rodríguez. (2022). Explainable multiview framework for dissecting spatial relationships from highly multiplexed data. Genome biology. 23(1). 97–97. 115 indexed citations

10.

Vicković, Sanja, Denis Schapiro, Britta Lötstedt, et al.. (2022). Three-dimensional spatial transcriptomics uncovers cell type localizations in the human rheumatoid arthritis synovium. Communications Biology. 5(1). 129–129. 44 indexed citations

11.

Wu, Hua‐Jun, Daniel Temko, Zoltan Maliga, et al.. (2022). Spatial intra-tumor heterogeneity is associated with survival of lung adenocarcinoma patients. Cell Genomics. 2(8). 100165–100165. 27 indexed citations

12.

Rashid, Rumana, Giorgio Gaglia, Chen Yuan, et al.. (2019). Highly multiplexed immunofluorescence images and single-cell data of immune markers in tonsil and lung cancer. Scientific Data. 6(1). 323–323. 26 indexed citations

13.

Vicković, Sanja, Gökçen Eraslan, Fredrik Salmén, et al.. (2019). High-definition spatial transcriptomics for in situ tissue profiling. Nature Methods. 16(10). 987–990. 705 indexed citations breakdown →

14.

Arnol, Damien, Denis Schapiro, Bernd Bodenmiller, Julio Sáez-Rodríguez, & Oliver Stegle. (2019). Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis. Cell Reports. 29(1). 202–211.e6. 150 indexed citations

15.

Damond, Nicolas, Stefanie Engler, Vito Riccardo Tomaso Zanotelli, et al.. (2019). A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry. Cell Metabolism. 29(3). 755–768.e5. 191 indexed citations

16.

Vatter, Fanny A. Pelissier, Denis Schapiro, Hang Chang, et al.. (2018). High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia. Cell Reports. 23(4). 1205–1219. 32 indexed citations

17.

Schapiro, Denis, Hartland W. Jackson, Jana Fischer, et al.. (2017). histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data. Nature Methods. 14(9). 873–876. 375 indexed citations breakdown →

18.

Lun, Xiao‐Kang, et al.. (2017). Influence of node abundance on signaling network state and dynamics analyzed by mass cytometry. Nature Biotechnology. 35(2). 164–172. 30 indexed citations

19.

Schulz, Daniel, Vito Riccardo Tomaso Zanotelli, Jana Fischer, et al.. (2017). Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry. Cell Systems. 6(1). 25–36.e5. 205 indexed citations

20.

Giesen, Charlotte, Hao A. O. Wang, Denis Schapiro, et al.. (2014). Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry. Nature Methods. 11(4). 417–422. 1292 indexed citations breakdown →

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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