Jonas Windhager

2.5k total citations · 1 hit paper
6 papers, 649 citations indexed

About

Jonas Windhager is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Jonas Windhager has authored 6 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Biophysics. Recurrent topics in Jonas Windhager's work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (2 papers) and Gene expression and cancer classification (2 papers). Jonas Windhager is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (2 papers) and Gene expression and cancer classification (2 papers). Jonas Windhager collaborates with scholars based in Switzerland, Sweden and Germany. Jonas Windhager's co-authors include Bernd Bodenmiller, Maria Anna Rapsomaniki, Simone Muenst, Claus Langwieder, Alice K. Jacobs, Maries van den Broek, Konstantin J. Dedes, Martin Rees, Tobias Anzeneder and Savas D. Soysal and has published in prestigious journals such as Cell, Cancer Research and Nature Protocols.

In The Last Decade

Jonas Windhager

6 papers receiving 644 citations

Hit Papers

A Single-Cell Atlas of the Tumor and Immune Ecosystem of ... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Windhager Switzerland 4 367 299 258 174 62 6 649
Claus Langwieder Germany 4 417 1.1× 455 1.5× 331 1.3× 204 1.2× 81 1.3× 5 792
Samir Jain India 4 376 1.0× 259 0.9× 204 0.8× 142 0.8× 52 0.8× 9 666
Luca Noti United States 3 305 0.8× 185 0.6× 160 0.6× 83 0.5× 39 0.6× 4 513
Tobias Anzeneder Germany 12 631 1.7× 554 1.9× 349 1.4× 334 1.9× 131 2.1× 18 1.1k
Jessica Konen United States 15 367 1.0× 361 1.2× 151 0.6× 189 1.1× 72 1.2× 24 752
A Dykgers Germany 3 297 0.8× 270 0.9× 229 0.9× 155 0.9× 57 0.9× 4 536
B. Belinda Ding United States 7 538 1.5× 273 0.9× 326 1.3× 148 0.9× 68 1.1× 11 1.0k
Jolene Jie Lin Goh Singapore 3 561 1.5× 357 1.2× 171 0.7× 324 1.9× 58 0.9× 5 812
Azin Sayad Canada 10 425 1.2× 214 0.7× 142 0.6× 117 0.7× 49 0.8× 21 651
Daniel Roden Australia 10 431 1.2× 142 0.5× 163 0.6× 181 1.0× 46 0.7× 18 582

Countries citing papers authored by Jonas Windhager

Since Specialization
Citations

This map shows the geographic impact of Jonas Windhager'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 Jonas Windhager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Windhager more than expected).

Fields of papers citing papers by Jonas Windhager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas Windhager. 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 Jonas Windhager. The network helps show where Jonas Windhager may publish in the future.

Co-authorship network of co-authors of Jonas Windhager

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Windhager. A scholar is included among the top collaborators of Jonas Windhager 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 Jonas Windhager. Jonas Windhager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Windhager, Jonas, et al.. (2025). Droplet microfluidics–based detection of rare antibiotic-resistant subpopulations in Escherichia coli from bloodstream infections. Science Advances. 11(27). eadv4558–eadv4558. 5 indexed citations
2.
Avenel, Christophe, et al.. (2024). Points2Regions : Fast, interactive clustering of imaging‐based spatial transcriptomics data. Cytometry Part A. 105(9). 677–687. 2 indexed citations
3.
Windhager, Jonas, Vito Riccardo Tomaso Zanotelli, Daniel Schulz, et al.. (2023). An end-to-end workflow for multiplexed image processing and analysis. Nature Protocols. 18(11). 3565–3613. 88 indexed citations
4.
Tognetti, Marco, Attila Gábor, Mi Yang, et al.. (2021). Deciphering the signaling network of breast cancer improves drug sensitivity prediction. Cell Systems. 12(5). 401–418.e12. 27 indexed citations
5.
Schulz, Daniel, Robin Liechti, Nils Eling, et al.. (2021). Abstract 2756: A toolbox enabling a data-driven selection of regions of interest in tumor tissue sections for imaging mass cytometry analysis. Cancer Research. 81(13_Supplement). 2756–2756. 1 indexed citations
6.
Wagner, Johanna, Maria Anna Rapsomaniki, Stéphane Chevrier, et al.. (2019). A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer. Cell. 177(5). 1330–1345.e18. 526 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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