Stefan Ganscha

635 total citations · 1 hit paper
6 papers, 415 citations indexed

About

Stefan Ganscha is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Stefan Ganscha has authored 6 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in Stefan Ganscha's work include Protein Structure and Dynamics (3 papers), Gene Regulatory Network Analysis (3 papers) and Single-cell and spatial transcriptomics (2 papers). Stefan Ganscha is often cited by papers focused on Protein Structure and Dynamics (3 papers), Gene Regulatory Network Analysis (3 papers) and Single-cell and spatial transcriptomics (2 papers). Stefan Ganscha collaborates with scholars based in Switzerland, Germany and South Korea. Stefan Ganscha's co-authors include Manfred Claassen, Abdullah Kahraman, Paul J. Boersema, Christian von Mering, Valentina Cappelletti, Paola Picotti, Sergii Kashubin, Oliver T. Unke, Michael Gastegger and Thomas Unterthiner and has published in prestigious journals such as Science, Science Advances and PLoS Computational Biology.

In The Last Decade

Stefan Ganscha

6 papers receiving 410 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.

Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments

2024 67 citations Oliver T. Unke, Martin Stöhr et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Ganscha Switzerland	5	277	115	83	45	33	6	415
Tristan Cragnolini United Kingdom	12	539 1.9×	120 1.0×	104 1.3×	47 1.0×	26 0.8×	21	631
Arghya Chakravorty United States	13	280 1.0×	72 0.6×	35 0.4×	59 1.3×	22 0.7×	23	370
Virginia Burger United States	9	280 1.0×	222 1.9×	36 0.4×	39 0.9×	32 1.0×	20	492
João Henriques Sweden	8	383 1.4×	192 1.7×	72 0.9×	17 0.4×	30 0.9×	10	436
Ioana M. Ilie Netherlands	13	276 1.0×	76 0.7×	27 0.3×	44 1.0×	28 0.8×	22	425
Aron Broom Canada	12	466 1.7×	167 1.5×	32 0.4×	20 0.4×	29 0.9×	18	546
Alexey Mishin Russia	14	322 1.2×	99 0.9×	36 0.4×	41 0.9×	12 0.4×	37	436
Wookyung Yu South Korea	13	290 1.0×	104 0.9×	50 0.6×	19 0.4×	31 0.9×	35	433
Adam W. Van Wynsberghe United States	7	366 1.3×	155 1.3×	39 0.5×	22 0.5×	26 0.8×	8	430
Kristine Steen Jensen Denmark	8	354 1.3×	108 0.9×	58 0.7×	21 0.5×	43 1.3×	16	457

Countries citing papers authored by Stefan Ganscha

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Ganscha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Ganscha

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Ganscha, Stefan, et al.. (2025). The QCML dataset, Quantum chemistry reference data from 33.5M DFT and 14.7B semi-empirical calculations. Scientific Data. 12(1). 406–406. 11 indexed citations

2.

Unke, Oliver T., Martin Stöhr, Stefan Ganscha, et al.. (2024). Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments. Science Advances. 10(14). eadn4397–eadn4397. 67 indexed citations breakdown →

3.

Macnair, Will, et al.. (2019). Tree‐ensemble analysis assesses presence of multifurcations in single cell data. Molecular Systems Biology. 15(3). e8552–e8552. 4 indexed citations

4.

Ganscha, Stefan, Abdullah Kahraman, Valentina Cappelletti, et al.. (2017). Cell-wide analysis of protein thermal unfolding reveals determinants of thermostability. Science. 355(6327). 298 indexed citations

5.

Feigelman, Justin, Stefan Ganscha, Simon Hastreiter, et al.. (2016). Analysis of Cell Lineage Trees by Exact Bayesian Inference Identifies Negative Autoregulation of Nanog in Mouse Embryonic Stem Cells. Cell Systems. 3(5). 480–490.e13. 21 indexed citations

6.

Ganscha, Stefan, et al.. (2016). Sparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time Series. PLoS Computational Biology. 12(12). e1005234–e1005234. 14 indexed citations

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.

Explore authors with similar magnitude of impact