Fabienne Wichmann

1.1k total citations · 1 hit paper
9 papers, 820 citations indexed

About

Fabienne Wichmann is a scholar working on Plant Science, Pollution and Ecology. According to data from OpenAlex, Fabienne Wichmann has authored 9 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 4 papers in Pollution and 3 papers in Ecology. Recurrent topics in Fabienne Wichmann's work include Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). Fabienne Wichmann is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). Fabienne Wichmann collaborates with scholars based in Switzerland, Denmark and Germany. Fabienne Wichmann's co-authors include Nikolina Udiković‐Kolić, Jo Handelsman, Nichole A. Broderick, S.M. Andrew, Philipp Engel, Germán Bonilla‐Rosso, Franco Widmer, Roland Kölliker, Milena Milaković and Ana Bielen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Frontiers in Microbiology and Theoretical and Applied Genetics.

In The Last Decade

Fabienne Wichmann

9 papers receiving 805 citations

Hit Papers

Bloom of resident antibiotic-resistant bacteria in soil f... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabienne Wichmann Switzerland 7 535 325 213 210 108 9 820
Yuan-Ching Tien Canada 12 551 1.0× 298 0.9× 160 0.8× 150 0.7× 49 0.5× 16 832
Roger Murray Canada 13 856 1.6× 466 1.4× 206 1.0× 205 1.0× 80 0.7× 17 1.1k
Qiue Yang China 15 257 0.5× 240 0.7× 150 0.7× 193 0.9× 77 0.7× 25 616
Houpu Zhang China 15 520 1.0× 153 0.5× 131 0.6× 139 0.7× 145 1.3× 22 740
David Drissner Switzerland 16 422 0.8× 288 0.9× 292 1.4× 162 0.8× 415 3.8× 37 1.3k
Ishi Keenum United States 12 417 0.8× 246 0.8× 250 1.2× 206 1.0× 45 0.4× 26 818
Zhengnan Long China 11 399 0.7× 136 0.4× 117 0.5× 118 0.6× 72 0.7× 11 545
Martina Kyselková Czechia 16 267 0.5× 151 0.5× 211 1.0× 244 1.2× 351 3.3× 32 847
Ethan R. Wyrsch Australia 15 204 0.4× 371 1.1× 106 0.5× 130 0.6× 55 0.5× 25 627
Miaomiao Xie China 22 345 0.6× 1.1k 3.3× 278 1.3× 298 1.4× 253 2.3× 65 1.5k

Countries citing papers authored by Fabienne Wichmann

Since Specialization
Citations

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

Fields of papers citing papers by Fabienne Wichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabienne Wichmann

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

All Works

9 of 9 papers shown
1.
Bonilla‐Rosso, Germán, et al.. (2020). Honey bees harbor a diverse gut virome engaging in nested strain-level interactions with the microbiota. Proceedings of the National Academy of Sciences. 117(13). 7355–7362. 43 indexed citations
2.
Plaza, Juan José González, Ana Šimatović, Milena Milaković, et al.. (2018). Functional Repertoire of Antibiotic Resistance Genes in Antibiotic Manufacturing Effluents and Receiving Freshwater Sediments. Frontiers in Microbiology. 8. 2502–2502. 34 indexed citations
3.
Wichmann, Fabienne, et al.. (2017). Monitoring of genetically modified Escherichia coli in laboratory wastewater. Environmental Science and Pollution Research. 24(30). 23725–23734. 3 indexed citations
4.
Wichmann, Fabienne, Jana Huckauf, Kerstin Schmidt, et al.. (2016). KP4 to control Ustilago tritici in wheat: Enhanced greenhouse resistance to loose smut and changes in transcript abundance of pathogen related genes in infected KP4 plants. Biotechnology Reports. 11. 90–98. 16 indexed citations
5.
Wichmann, Fabienne, Nikolina Udiković‐Kolić, S.M. Andrew, & Jo Handelsman. (2014). Diverse Antibiotic Resistance Genes in Dairy Cow Manure. mBio. 5(2). e01017–e01017. 211 indexed citations
6.
Udiković‐Kolić, Nikolina, Fabienne Wichmann, Nichole A. Broderick, & Jo Handelsman. (2014). Bloom of resident antibiotic-resistant bacteria in soil following manure fertilization. Proceedings of the National Academy of Sciences. 111(42). 15202–15207. 463 indexed citations breakdown →
7.
Wichmann, Fabienne, Frank‐Jörg Vorhölter, Lena Hersemann, et al.. (2013). The noncanonical type III secretion system of X anthomonas translucens pv. graminis is essential for forage grass infection. Molecular Plant Pathology. 14(6). 576–588. 38 indexed citations
8.
Wichmann, Fabienne, Torben Asp, Franco Widmer, & Roland Kölliker. (2010). Transcriptional responses of Italian ryegrass during interaction with Xanthomonas translucens pv. graminis reveal novel candidate genes for bacterial wilt resistance. Theoretical and Applied Genetics. 122(3). 567–579. 7 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

Rankless by CCL
2026