Tania Hübscher

995 total citations · 3 hit papers
8 papers, 706 citations indexed

About

Tania Hübscher is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Tania Hübscher has authored 8 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Biomedical Engineering. Recurrent topics in Tania Hübscher's work include 3D Printing in Biomedical Research (3 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer Cells and Metastasis (2 papers). Tania Hübscher is often cited by papers focused on 3D Printing in Biomedical Research (3 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer Cells and Metastasis (2 papers). Tania Hübscher collaborates with scholars based in Switzerland, United Kingdom and United States. Tania Hübscher's co-authors include Matthias P. Lütolf, Jonathan A. Brassard, Moritz Hofer, Marcy Zenobi‐Wong, Wai Yee Yeong, Jos Malda, Ghazaleh Haghiashtiani, Jia Min Lee, Yu Shrike Zhang and Daniel J. Kelly and has published in prestigious journals such as Nature, Nature Communications and Nature Materials.

In The Last Decade

Tania Hübscher

8 papers receiving 698 citations

Hit Papers

Recapitulating macro-scale tissue self-organization throu... 2020 2026 2022 2024 2020 2021 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tania Hübscher Switzerland 6 563 204 182 153 85 8 706
Jonathan A. Brassard Canada 3 476 0.8× 112 0.5× 260 1.4× 166 1.1× 110 1.3× 6 643
Alexis J. Seymour United States 8 454 0.8× 110 0.5× 145 0.8× 95 0.6× 102 1.2× 10 624
Jacob A. Gage United States 7 615 1.1× 128 0.6× 158 0.9× 257 1.7× 67 0.8× 10 810
Shuangshuang Mao China 7 601 1.1× 310 1.5× 103 0.6× 124 0.8× 80 0.9× 11 664
Karen Dubbin United States 12 388 0.7× 144 0.7× 128 0.7× 65 0.4× 79 0.9× 16 618
Elizaveta V. Koudan Russia 15 501 0.9× 216 1.1× 115 0.6× 45 0.3× 69 0.8× 39 653
Anthony P. Napolitano United States 5 420 0.7× 112 0.5× 107 0.6× 92 0.6× 133 1.6× 6 535
Natalie Lawrence United States 8 609 1.1× 324 1.6× 71 0.4× 67 0.4× 134 1.6× 8 707
Zahra Goli-Malekabadi Iran 5 712 1.3× 248 1.2× 167 0.9× 76 0.5× 212 2.5× 7 808
Shane C. Allen United States 10 425 0.8× 97 0.5× 84 0.5× 129 0.8× 113 1.3× 12 664

Countries citing papers authored by Tania Hübscher

Since Specialization
Citations

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

Fields of papers citing papers by Tania Hübscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tania Hübscher

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

All Works

8 of 8 papers shown
1.
Palmer, Sam, Paul Rouse, Tania Hübscher, et al.. (2025). Establishment of a microwell-array-based miniaturized thymic organoid model suitable for high-throughput applications. Cell Reports. 44(5). 115579–115579. 1 indexed citations
2.
Hübscher, Tania, L. Francisco Lorenzo‐Martín, Thomas Barthlott, et al.. (2024). Thymic epithelial organoids mediate T-cell development. Development. 151(17). 5 indexed citations
3.
Lorenzo‐Martín, L. Francisco, Tania Hübscher, Amber D. Bowler, et al.. (2024). Spatiotemporally resolved colorectal oncogenesis in mini-colons ex vivo. Nature. 629(8011). 450–457. 57 indexed citations breakdown →
4.
Handel, Adam E., Stanley Cheuk, Fatima Dhalla, et al.. (2022). Developmental dynamics of the neural crest–mesenchymal axis in creating the thymic microenvironment. Science Advances. 8(19). eabm9844–eabm9844. 10 indexed citations
5.
Rossi, Giuliana, Sonja Giger, Tania Hübscher, & Matthias P. Lütolf. (2022). Gastruloids as in vitro models of embryonic blood development with spatial and temporal resolution. Scientific Reports. 12(1). 13380–13380. 18 indexed citations
6.
Banterle, Niccolò, Adrian P. Nievergelt, Georgios N. Hatzopoulos, et al.. (2021). Kinetic and structural roles for the surface in guiding SAS-6 self-assembly to direct centriole architecture. Nature Communications. 12(1). 6180–6180. 16 indexed citations
7.
Zhang, Yu Shrike, Ghazaleh Haghiashtiani, Tania Hübscher, et al.. (2021). 3D extrusion bioprinting. Nature Reviews Methods Primers. 1(1). 246 indexed citations breakdown →
8.
Brassard, Jonathan A., et al.. (2020). Recapitulating macro-scale tissue self-organization through organoid bioprinting. Nature Materials. 20(1). 22–29. 353 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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