Beate Averhoff

3.2k citations
87 papers · 2.5k · h-index 31

Impact in

Papers in

    • Genomics and Phylogenetic Studies 19
    • RNA and protein synthesis mechanisms 18
    • Bacterial biofilms and quorum sensing 8
    • Microbial Metabolic Engineering and Bioproduction 6
    • Bacterial Genetics and Biotechnology 48

Beate Averhoff

86 papers receiving 2.5k citations

Peers

Beate Averhoff
Comparison fields: 5 of 107
  • Molecular Medicine 622
  • Endocrinology 394
  • Genetics 927
  • Pollution 324
  • Ecology 679
Replace Klas Flärdh with:
Klas Flärdh Sweden
Carey Lambert United Kingdom
Michael E. Kovach United States
Zeynep Baharoglu France
Laura Hobley United Kingdom
Miguel A. Cevallos Mexico
Christina Herzberg Germany
Karin Lederballe Meibom France
Max Schobert Germany
Sandra Da Re France
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Citations per field
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Citations per year

Countries citing papers authored by Beate Averhoff

Since Specialization
Citations

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

Fields of papers citing papers by Beate Averhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beate Averhoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beate Averhoff Line = papers co-authored together Beate Averhoff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015106
2 201589
3 199387
4 200284
5 199484
6 201982
7 200382
8 200978
9 200175
10 199963
11 199662
12 200359
13 201059
14 200658
15 199358
16 200356
17 201153
18 200652
19 201648
20 200648

About Beate Averhoff

Beate Averhoff is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Endocrinology, having authored 87 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (48 papers), Antibiotic Resistance in Bacteria (26 papers), Bacteriophages and microbial interactions (23 papers), Genomics and Phylogenetic Studies (19 papers), RNA and protein synthesis mechanisms (18 papers), Vibrio bacteria research studies (14 papers), Bacterial biofilms and quorum sensing (8 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Molecular Medicine (622 citations), Endocrinology (394 citations), Genetics (927 citations), Pollution (324 citations) and Ecology (679 citations). Beate Averhoff has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Alexandra Friedrich, Volker Müller, Ralf Salzer, L. Nicholas Ornston, Julia Stahl, G. Gottschalk, A A DiMarco, Thomas Hartsch, Vicki A. M. Gold and Stephan Göttig. Their work appears in journals such as Environmental Microbiology, Applied and Environmental Microbiology, Journal of Bacteriology, Extremophiles and Journal of Biological Chemistry.

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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