Cornelia Reimmann

5.5k citations
63 papers · 4.7k · h-index 37

Impact in

Papers in

Cornelia Reimmann

62 papers receiving 4.5k citations

Peers

Cornelia Reimmann
Comparison fields: 5 of 106
  • Molecular Medicine 525
  • Endocrinology 469
  • Plant Science 2.1k
  • Genetics 1.5k
  • Molecular Biology 2.8k
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
Yves Dessaux France
Vittorio Venturi Italy
Christine Baysse France
Teresa R. de Kievit Canada
Anatol Eberhard United States
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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997369
2 1998293
3 2000290
4 2003237
5 2002230
6 1995185
7 1991167
8 1997152
9 2004150
10 2003127
11 2003121
12 2015117
13 2005114
14 2001112
15 2001112
16 1998110
17 1989104
18 2007101
19 200385
20 200273

About Cornelia Reimmann

Cornelia Reimmann is a scholar working on Molecular Biology, Genetics, Plant Science, Molecular Medicine and Ecology, having authored 63 papers that have together received 4.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (40 papers), Bacterial biofilms and quorum sensing (28 papers), Plant-Microbe Interactions and Immunity (17 papers), Legume Nitrogen Fixing Symbiosis (13 papers), Antibiotic Resistance in Bacteria (11 papers), Bacteriophages and microbial interactions (9 papers), Plant Pathogenic Bacteria Studies (5 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Molecular Medicine (525 citations), Endocrinology (469 citations), Plant Science (2.1k citations), Genetics (1.5k citations) and Molecular Biology (2.8k citations). Cornelia Reimmann has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Dieter Haas, Markus Beyeler, Laurent Michel, Laura Serino, Geneviève Défago, Christoph Keel, M. Maurhofer, Stephan Heeb, Robert Dudler and Brion Duffy. Their work appears in journals such as Journal of Bacteriology, Microbiology, Journal of Biological Chemistry, BioMetals and Molecular Microbiology.

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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