Stefanie Widder

4.5k total citations · 2 hit papers
27 papers, 2.5k citations indexed

About

Stefanie Widder is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Stefanie Widder has authored 27 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Ecology. Recurrent topics in Stefanie Widder's work include Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (7 papers) and Gut microbiota and health (7 papers). Stefanie Widder is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (7 papers) and Gut microbiota and health (7 papers). Stefanie Widder collaborates with scholars based in Austria, United States and Germany. Stefanie Widder's co-authors include David Berry, Mihaela Pavličev, Jacob M. Musser, Aviv Bergman, Gerhard Schlosser, Clare V. H. Baker, Connie Cepko, Günter P. Wagner, Detlev Arendt and Manfred D. Laubichler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Stefanie Widder

26 papers receiving 2.5k citations

Hit Papers

Deciphering microbial interactions and detecting keystone... 2014 2026 2018 2022 2014 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefanie Widder Austria 16 1.4k 948 411 212 200 27 2.5k
Shawn W. Polson United States 27 1.3k 0.9× 1.7k 1.8× 446 1.1× 141 0.7× 126 0.6× 79 3.2k
Jean‐Claude Walser Switzerland 34 1.7k 1.2× 1.8k 1.9× 1.2k 2.8× 242 1.1× 222 1.1× 81 4.1k
Hideki Noguchi Japan 21 2.6k 1.9× 708 0.7× 553 1.3× 73 0.3× 193 1.0× 53 3.7k
Rachel J. Whitaker United States 32 2.6k 1.8× 2.3k 2.4× 471 1.1× 112 0.5× 143 0.7× 85 4.2k
Masayuki Ushio Japan 27 954 0.7× 1.4k 1.5× 961 2.3× 595 2.8× 57 0.3× 88 3.0k
Andrew R. Smith United Kingdom 28 1.3k 0.9× 719 0.8× 513 1.2× 646 3.0× 58 0.3× 119 3.3k
Laurent Noé France 12 1.4k 1.0× 684 0.7× 519 1.3× 23 0.1× 178 0.9× 25 2.5k
Julie Poulain France 40 2.2k 1.5× 1.7k 1.8× 1.2k 2.9× 133 0.6× 157 0.8× 81 4.8k
Hajk‐Georg Drost Germany 18 1.6k 1.2× 582 0.6× 1.1k 2.7× 34 0.2× 150 0.8× 31 3.0k
Yong Li China 40 1.8k 1.3× 784 0.8× 2.3k 5.6× 139 0.7× 71 0.4× 144 5.3k

Countries citing papers authored by Stefanie Widder

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Widder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanie Widder

This figure shows the co-authorship network connecting the top 25 collaborators of Stefanie Widder. A scholar is included among the top collaborators of Stefanie Widder 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 Stefanie Widder. Stefanie Widder 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.
Palomo-Irigoyen, Marta, Latifa Bakiri, Tim Hendrikx, et al.. (2025). Chronic skin and systemic inflammation modulated by S100A8 and S100A9 complexes 4737. The Journal of Immunology. 214(Supplement_1).
2.
Palomo-Irigoyen, Marta, Latifa Bakiri, Tim Hendrikx, et al.. (2025). Chronic skin and systemic inflammation modulated by S100A8 and S100A9 complexes. Cell Death and Differentiation. 32(10). 1833–1844. 1 indexed citations
3.
Widder, Stefanie, Lisa A. Carmody, Kristopher Opron, et al.. (2024). Microbial community organization designates distinct pulmonary exacerbation types and predicts treatment outcome in cystic fibrosis. Nature Communications. 15(1). 4889–4889. 6 indexed citations
4.
Martin, Christian, et al.. (2023). Longitudinal microbial and molecular dynamics in the cystic fibrosis lung after Elexacaftor–Tezacaftor–Ivacaftor therapy. Respiratory Research. 24(1). 317–317. 11 indexed citations
5.
Delogu, Francesco, Benoît J. Kunath, Rashi Halder, et al.. (2023). Forecasting the dynamics of a complex microbial community using integrated meta-omics. Nature Ecology & Evolution. 8(1). 32–44. 8 indexed citations
6.
Widder, Stefanie, Irene Görzer, Stefan Schwarz, et al.. (2022). Metagenomic sequencing reveals time, host, and body compartment-specific viral dynamics after lung transplantation. Microbiome. 10(1). 66–66. 7 indexed citations
7.
Faust, Karoline, Béatrice Laroche, Sophie de Buyl, et al.. (2018). Signatures of ecological processes in microbial community time series. Microbiome. 6(1). 120–120. 65 indexed citations
8.
Muller, Emilie, et al.. (2017). Using metabolic networks to resolve ecological properties of microbiomes. Current Opinion in Systems Biology. 8. 73–80. 57 indexed citations
9.
Quinn, Robert A., Katrine Whiteson, Yan Wei Lim, et al.. (2016). Ecological networking of cystic fibrosis lung infections. npj Biofilms and Microbiomes. 2(1). 4–4. 62 indexed citations
10.
Arendt, Detlev, Jacob M. Musser, Clare V. H. Baker, et al.. (2016). The origin and evolution of cell types. Nature Reviews Genetics. 17(12). 744–757. 473 indexed citations breakdown →
11.
Maixner, Frank, et al.. (2014). Metagenomic Analysis Reveals Presence of Treponema denticola in a Tissue Biopsy of the Iceman. PLoS ONE. 9(6). e99994–e99994. 19 indexed citations
12.
Behrens, Sebastian, Stefanie Widder, Gopala Krishna Mannala, et al.. (2014). Ultra Deep Sequencing of Listeria monocytogenes sRNA Transcriptome Revealed New Antisense RNAs. PLoS ONE. 9(2). e83979–e83979. 28 indexed citations
13.
Berry, David & Stefanie Widder. (2014). Deciphering microbial interactions and detecting keystone species with co-occurrence networks. Frontiers in Microbiology. 5. 219–219. 1269 indexed citations breakdown →
14.
Widder, Stefanie, Ricard V. Solé, & Javier Macía. (2012). Evolvability of feed-forward loop architecture biases its abundance in transcription networks. BMC Systems Biology. 6(1). 7–7. 15 indexed citations
15.
Widder, Stefanie, Javier Macía, & Ricard V. Solé. (2009). Monomeric Bistability and the Role of Autoloops in Gene Regulation. PLoS ONE. 4(4). e5399–e5399. 10 indexed citations
16.
Macía, Javier, Stefanie Widder, & Ricard V. Solé. (2009). Specialized or flexible feed-forward loop motifs: a question of topology. BMC Systems Biology. 3(1). 84–84. 31 indexed citations
17.
Macía, Javier, Stefanie Widder, & Ricard V. Solé. (2009). Why are cellular switches Boolean? General conditions for multistable genetic circuits. Journal of Theoretical Biology. 261(1). 126–135. 32 indexed citations
18.
Widder, Stefanie, Josef Schicho, & Peter Schuster. (2007). Dynamic patterns of gene regulation I: Simple two-gene systems. Journal of Theoretical Biology. 246(3). 395–419. 38 indexed citations
19.
Flamm, Christoph, Lukas Endler, Stefan C. Müller, Stefanie Widder, & Peter Schuster. (2007). A minimal and self-consistentin silicocell model based on macromolecular interactions. Philosophical Transactions of the Royal Society B Biological Sciences. 362(1486). 1831–1839. 7 indexed citations
20.
Müller, Stefan C., Josef Hofbauer, Lukas Endler, et al.. (2006). A generalized model of the repressilator. Journal of Mathematical Biology. 53(6). 905–937. 68 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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