Stefanie Widder
- Ecology top 2%
- Microbial Community Ecology and Physiology 4
- Soil Science top 5%
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 10
- Bioinformatics and Genomic Networks 7
- Gut microbiota and health 7
- Microbial Metabolic Engineering and Bioproduction 5
- Genomics and Phylogenetic Studies 3
- Pollution top 5%
- Aging top 10%
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- Evolution and Genetic Dynamics 5
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- Cystic Fibrosis Research Advances 3
- Co-authors
- David BerryMihaela PavličevJacob M. MusserAviv BergmanGerhard SchlosserClare V. H. BakerConnie CepkoGünter P. Wagner
- Cited by
- EcologySoil ScienceMolecular Biology
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Stefanie Widder
26 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Ecology 948
- Soil Science 212
- Molecular Biology 1.4k
- Pollution 200
- Aging 28
Countries citing papers authored by Stefanie Widder
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
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
The 25 scholars most cited alongside Stefanie Widder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2018 | 65 | |
| 8 | 2017 | 57 | |
| 9 | 2016 | 62 | |
| 10 | The origin and evolution of cell typesbreakdown → | 2016 | 473 |
| 11 | 2014 | 19 | |
| 12 | 2014 | 28 | |
| 13 | Deciphering microbial interactions and detecting keystone species with co-occurrence networksbreakdown → | 2014 | 1269 |
| 14 | 2012 | 15 | |
| 15 | 2009 | 10 | |
| 16 | 2009 | 31 | |
| 17 | 2009 | 32 | |
| 18 | 2007 | 38 | |
| 19 | 2007 | 7 | |
| 20 | 2006 | 68 |
About Stefanie Widder
Stefanie Widder is a scholar working on Modeling and Simulation, Molecular Biology, Genetics, Ecology and Biotechnology, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (7 papers), Gut microbiota and health (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Evolution and Genetic Dynamics (5 papers), Microbial Community Ecology and Physiology (4 papers), Genomics and Phylogenetic Studies (3 papers) and Cystic Fibrosis Research Advances (3 papers). The work is most often cited by research in Ecology (948 citations), Soil Science (212 citations), Molecular Biology (1.4k citations), Pollution (200 citations) and Aging (28 citations). Stefanie Widder has collaborated with scholars based in Austria, United States and Germany. Frequent 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. Their work appears in journals such as PLoS ONE, BMC Systems Biology, Journal of Theoretical Biology, Microbiome and Nature Ecology & Evolution.
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.