Stefan Peidli

3.7k total citations · 1 hit paper
5 papers, 1.4k citations indexed

About

Stefan Peidli is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Stefan Peidli has authored 5 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in Stefan Peidli's work include Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (2 papers) and Gene Regulatory Network Analysis (2 papers). Stefan Peidli is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (2 papers) and Gene Regulatory Network Analysis (2 papers). Stefan Peidli collaborates with scholars based in Germany, United Kingdom and United States. Stefan Peidli's co-authors include Volker Bergen, Marius Lange, Fabian J. Theis, F. Alexander Wolf, Torsten Groß, Jake P. Taylor‐King, Joseph Min, Augustin Luna, Nils Blüthgen and Linus J. Schumacher and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Genome biology.

In The Last Decade

Stefan Peidli

4 papers receiving 1.4k 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.

Generalizing RNA velocity to transient cell states through dynamical modeling

2020 1.4k citations Volker Bergen, Marius Lange et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Peidli Germany	3	1.0k	368	197	181	122	5	1.4k
Diya Das United States	6	1.1k 1.1×	499 1.4×	257 1.3×	228 1.3×	141 1.2×	7	1.8k
Madeline H. Kowalski United States	3	755 0.8×	340 0.9×	172 0.9×	181 1.0×	76 0.6×	4	1.4k
Gesmira Molla United States	2	742 0.7×	343 0.9×	169 0.9×	181 1.0×	75 0.6×	2	1.3k
Volker Bergen Germany	6	1.4k 1.4×	472 1.3×	290 1.5×	230 1.3×	197 1.6×	9	2.0k
Marius Lange Germany	7	1.5k 1.5×	476 1.3×	290 1.5×	232 1.3×	213 1.7×	11	2.0k
Robin Browaeys Belgium	5	664 0.7×	439 1.2×	149 0.8×	203 1.1×	78 0.6×	6	1.1k
Fiona Hamey United Kingdom	12	1.5k 1.4×	655 1.8×	257 1.3×	174 1.0×	203 1.7×	19	2.0k
Lev Silberstein United States	9	972 1.0×	409 1.1×	306 1.6×	156 0.9×	123 1.0×	14	1.5k
Byungjin Hwang South Korea	10	1.1k 1.1×	304 0.8×	316 1.6×	225 1.2×	117 1.0×	22	1.5k
Joseph Bergenstråhle Sweden	10	1.1k 1.1×	295 0.8×	295 1.5×	155 0.9×	194 1.6×	11	1.4k

Countries citing papers authored by Stefan Peidli

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Peidli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Peidli

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

All Works

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5 of 5 papers shown

1.

Harle, Victoria, Victoria Offord, Tom Williams, et al.. (2025). A compendium of synthetic lethal gene pairs defined by extensive combinatorial pan-cancer CRISPR screening. Genome biology. 26(1). 284–284.

2.

Blanc, Eric, Stefan Peidli, Philip Bischoff, et al.. (2024). High‐confidence calling of normal epithelial cells allows identification of a novel stem‐like cell state in the colorectal cancer microenvironment. International Journal of Cancer. 155(9). 1655–1669. 1 indexed citations

3.

Peidli, Stefan, Ciyue Shen, Torsten Groß, et al.. (2024). scPerturb: harmonized single-cell perturbation data. Nature Methods. 21(3). 531–540. 46 indexed citations

4.

Peidli, Stefan, Geraldine Nouailles, Emanuel Wyler, et al.. (2024). Single-cell-resolved interspecies comparison shows a shared inflammatory axis and a dominant neutrophil-endothelial program in severe COVID-19. Cell Reports. 43(6). 114328–114328. 3 indexed citations

5.

Bergen, Volker, Marius Lange, Stefan Peidli, F. Alexander Wolf, & Fabian J. Theis. (2020). Generalizing RNA velocity to transient cell states through dynamical modeling. Nature Biotechnology. 38(12). 1408–1414. 1377 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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