Florian Heigwer

3.6k total citations
21 papers, 894 citations indexed

About

Florian Heigwer is a scholar working on Molecular Biology, Biophysics and Plant Science. According to data from OpenAlex, Florian Heigwer has authored 21 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Biophysics and 3 papers in Plant Science. Recurrent topics in Florian Heigwer's work include CRISPR and Genetic Engineering (9 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (4 papers). Florian Heigwer is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (4 papers). Florian Heigwer collaborates with scholars based in Germany, Poland and Norway. Florian Heigwer's co-authors include Michael Boutros, Christina Laufer, Marco Breinig, Fillip Port, Jan Winter, Benedikt Rauscher, Oliver Pelz, Tianzuo Zhan, Svenja Leible and Stefan Wölfl and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Florian Heigwer

20 papers receiving 874 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Heigwer Germany 13 629 230 86 81 69 21 894
Natalie Perzov Israel 11 1.2k 2.0× 265 1.2× 102 1.2× 116 1.4× 23 0.3× 12 1.5k
Axel Mosig Germany 24 825 1.3× 539 2.3× 158 1.8× 41 0.5× 40 0.6× 65 1.5k
Zachary E. Perlman United States 12 1.0k 1.6× 524 2.3× 168 2.0× 43 0.5× 35 0.5× 14 1.6k
Nathalie Malo Canada 7 485 0.8× 127 0.6× 77 0.9× 107 1.3× 31 0.4× 7 797
Vytaute Starkuviene Germany 14 668 1.1× 141 0.6× 138 1.6× 93 1.1× 20 0.3× 32 963
Mojca Mattiazzi Ušaj Canada 10 492 0.8× 159 0.7× 53 0.6× 47 0.6× 13 0.2× 22 658
Thomas Stoeger United States 16 1.0k 1.7× 136 0.6× 50 0.6× 133 1.6× 79 1.1× 27 1.4k
Steven A. Haney United States 14 548 0.9× 107 0.5× 68 0.8× 186 2.3× 20 0.3× 25 756
Richard Yu United States 14 654 1.0× 125 0.5× 56 0.7× 79 1.0× 58 0.8× 19 930
Michael H. Olma Switzerland 8 739 1.2× 175 0.8× 34 0.4× 105 1.3× 13 0.2× 9 930

Countries citing papers authored by Florian Heigwer

Since Specialization
Citations

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

Fields of papers citing papers by Florian Heigwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Heigwer

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

All Works

20 of 20 papers shown
1.
Zhou, Jun, et al.. (2026). Improved in vivo gene knockout with high specificity using multiplexed Cas12a sgRNAs. Nature Communications. 17(1). 877–877.
2.
Heigwer, Florian, Oksana Voloshanenko, Dominique Kranz, et al.. (2025). Abstract 183: High-content screening reveals kinase regulators of Dvl2 phase separation in Wnt signaling: Implications for targeted cancer therapy. Cancer Research. 85(8_Supplement_1). 183–183. 1 indexed citations
3.
Heigwer, Florian, et al.. (2024). IFNγ mediates the resistance of tumor cells to distinct NK cell subsets. Journal for ImmunoTherapy of Cancer. 12(7). e009410–e009410. 10 indexed citations
4.
Funk, Maja C., Jan Gleixner, Florian Heigwer, et al.. (2023). Aged intestinal stem cells propagate cell-intrinsic sources of inflammaging in mice. Developmental Cell. 58(24). 2914–2929.e7. 24 indexed citations
5.
Heigwer, Florian, Josephine Bageritz, Benedikt Rauscher, et al.. (2023). A global genetic interaction network by single-cell imaging and machine learning. Cell Systems. 14(5). 346–362.e6. 7 indexed citations
6.
Heigwer, Florian, Johannes Betge, Niklas Rindtorff, et al.. (2022). Targeting euchromatic histone lysine methyltransferases sensitizes colorectal cancer to histone deacetylase inhibitors. International Journal of Cancer. 151(9). 1586–1601. 9 indexed citations
7.
Port, Fillip, Claudia Strein, Benedikt Rauscher, et al.. (2020). A large-scale resource for tissue-specific CRISPR mutagenesis in Drosophila. eLife. 9. 97 indexed citations
8.
Heigwer, Florian & Michael Boutros. (2020). Cloud-Based Design of Short Guide RNA (sgRNA) Libraries for CRISPR Experiments. Methods in molecular biology. 2162. 3–22. 1 indexed citations
9.
Heigwer, Florian, et al.. (2018). Time-resolved mapping of genetic interactions to model rewiring of signaling pathways. eLife. 7. 18 indexed citations
10.
Rauscher, Benedikt, et al.. (2018). Toward an integrated map of genetic interactions in cancer cells. Molecular Systems Biology. 14(2). e7656–e7656. 52 indexed citations
11.
Heigwer, Florian, et al.. (2018). Machine learning and image-based profiling in drug discovery. Current Opinion in Systems Biology. 10. 43–52. 104 indexed citations
12.
Heigwer, Florian, Fillip Port, & Michael Boutros. (2018). RNA Interference (RNAi) Screening inDrosophila. Genetics. 208(3). 853–874. 74 indexed citations
13.
Heigwer, Florian, et al.. (2017). HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens. Bioinformatics. 33(18). 2960–2962. 3 indexed citations
14.
Heigwer, Florian, Tianzuo Zhan, Marco Breinig, et al.. (2016). CRISPR library designer (CLD): software for multispecies design of single guide RNA libraries. Genome biology. 17(1). 55–55. 56 indexed citations
15.
Rauscher, Benedikt, Florian Heigwer, Marco Breinig, Jan Winter, & Michael Boutros. (2016). GenomeCRISPR - a database for high-throughput CRISPR/Cas9 screens. Nucleic Acids Research. 45(D1). D679–D686. 51 indexed citations
16.
Boutros, Michael, Florian Heigwer, & Christina Laufer. (2015). Microscopy-Based High-Content Screening. Cell. 163(6). 1314–1325. 241 indexed citations
17.
Winter, Jan, Marco Breinig, Florian Heigwer, et al.. (2015). caRpools: an R package for exploratory data analysis and documentation of pooled CRISPR/Cas9 screens. Bioinformatics. 32(4). 632–634. 47 indexed citations
18.
Kitanovic, Ana, Florian Heigwer, Peter Ruoff, et al.. (2012). Acetic acid treatment in S. cerevisiae creates significant energy deficiency and nutrient starvation that is dependent on the activity of the mitochondrial transcriptional complex Hap2-3-4-5. SHILAP Revista de lepidopterología. 2. 118–118. 16 indexed citations
19.
Holenya, Pavlo, Florian Heigwer, & Stefan Wölfl. (2012). KOMA: ELISA-microarray calibration and data analysis based on kinetic signal amplification. Journal of Immunological Methods. 380(1-2). 10–15. 11 indexed citations
20.
Holenya, Pavlo, Igor Kitanović, Florian Heigwer, & Stefan Wölfl. (2011). Microarray‐based kinetic colorimetric detection for quantitative multiplex protein phosphorylation analysis. PROTEOMICS. 11(10). 2129–2133. 15 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.

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