Ralph Bertram

2.3k citations
56 papers · 1.8k · h-index 26

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 14
    • CRISPR and Genetic Engineering 5
    • RNA and protein synthesis mechanisms 4
    • Bacterial Genetics and Biotechnology 32

Ralph Bertram

53 papers receiving 1.8k citations

Peers

Ralph Bertram
Comparison fields: 5 of 94
  • Molecular Medicine 273
  • Infectious Diseases 565
  • Endocrinology 147
  • Genetics 686
  • Microbiology 140
Replace Orietta Massidda with:
Orietta Massidda Italy
Sarah Dubrac France
Hirofumi Nariya Japan
Raquel Tobes Spain
Christelle M. Roux United States
Edward Geisinger United States
Tobias Geiger Germany
Bridget Gollan United Kingdom
Pavel Branny Czechia
Yinduo Ji United States
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Citations per field
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Citations per year

Countries citing papers authored by Ralph Bertram

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Bertram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013162
2 2009132
3 2012128
4 2007121
5 201498
6 201588
7 200486
8 200466
9 201166
10 201659
11 200757
12 201153
13 202241
14 201641
15 201540
16 201339
17 201437
18 200534
19 201430
20 201630

About Ralph Bertram

Ralph Bertram is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Ecology and Molecular Medicine, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (32 papers), Antimicrobial Resistance in Staphylococcus (17 papers), Bacteriophages and microbial interactions (16 papers), Bacterial biofilms and quorum sensing (14 papers), CRISPR and Genetic Engineering (5 papers), Antibiotic Resistance in Bacteria (4 papers), RNA and protein synthesis mechanisms (4 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Molecular Medicine (273 citations), Infectious Diseases (565 citations), Endocrinology (147 citations), Genetics (686 citations) and Microbiology (140 citations). Ralph Bertram has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Christopher F. Schuster, Wolfgang Hillen, Marcel Prax, Friedrich Götz, Kim Lewis, Raja Biswas, Martin Schlag, Lalitha Biswas, Fritz Titgemeyer and Alexander Herbig. Their work appears in journals such as Applied and Environmental Microbiology, Microbial Physiology, PLoS ONE, Antimicrobial Agents and Chemotherapy and 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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