Cornelia Reimmann

5.4k citations
61 papers · 4.2k · h-index 36

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 27
    • Genomics and Phylogenetic Studies 5
    • Bacterial Genetics and Biotechnology 38

Cornelia Reimmann

61 papers receiving 4.1k citations

Peers

Cornelia Reimmann
Comparison fields: 5 of 105
  • Molecular Medicine 514
  • Endocrinology 461
  • Genetics 1.4k
  • Plant Science 1.8k
  • Molecular Biology 2.7k
Replace Stephan Heeb with:
Stephan Heeb United Kingdom
María‐Trinidad Gallegos Spain
Mark A. Schell United States
Leland S. Pierson United States
Sylvie Reverchon France
Vittorio Venturi Italy
Yves Dessaux France
RoxAnn R. Karkhoff-Schweizer United States
Anatol Eberhard United States
Christine Baysse France
Cornelia Reimmann relative to Stephan Heeb United Kingdom Stephan Heeb's profile →
Citations per field
00.5×1.5×
Stephan Heeb · 1×
Citations per year

Countries citing papers authored by Cornelia Reimmann

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Reimmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cornelia Reimmann, 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 Cornelia Reimmann Line = papers co-authored together Cornelia Reimmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997338
2 2000250
3 1998234
4 2002216
5 2003190
6 1991155
7 1995151
8 1997143
9 2004138
10 2003118
11 2003109
12 2005109
13 1998104
14 2001104
15 2015102
16 200199
17 198996
18 200794
19 200374
20 200872

About Cornelia Reimmann

Cornelia Reimmann is a scholar working on Molecular Biology, Genetics, Plant Science, Molecular Medicine and Ecology, having authored 61 papers that have together received 4.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (38 papers), Bacterial biofilms and quorum sensing (27 papers), Plant-Microbe Interactions and Immunity (17 papers), Legume Nitrogen Fixing Symbiosis (12 papers), Antibiotic Resistance in Bacteria (10 papers), Bacteriophages and microbial interactions (9 papers), Genomics and Phylogenetic Studies (5 papers) and Plant Pathogenic Bacteria Studies (5 papers). The work is most often cited by research in Molecular Medicine (514 citations), Endocrinology (461 citations), Genetics (1.4k citations), Plant Science (1.8k citations) and Molecular Biology (2.7k citations). Cornelia Reimmann has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Dieter Haas, Markus Beyeler, Laurent Michel, Laura Serino, Geneviève Défago, Christoph Keel, Robert Dudler, M. Maurhofer, Stephan Heeb and Brion Duffy. Their work appears in journals such as Journal of Bacteriology, Microbiology, Journal of Biological Chemistry, Molecular Microbiology and BioMetals.

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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