Beate Rückert

1.9k citations
9 papers · 1.6k indexed · 1 hit paper · h-index 8
Topics
Bacterial Genetics and Biotechnology (7 papers)Bacteriophages and microbial interactions (5 papers)DNA Repair Mechanisms (4 papers)
Partner nations
GermanySpain

In The Last Decade

Beate Rückert

8 papers receiving 1.5k citations

Hit Papers

Specific-purpose plasmid cloning vectors II. Broad host r...19812026199620111981250500750

Peers

Beate Rückert
Comparison fields: 5 of 83
  • Molecular Biology 1.1k
  • Genetics 740
  • Ecology 446
  • Plant Science 303
  • Pollution 188
Replace R. Lurz with:
R. Lurz Germany
Joel Jessee United States
Atsuo Nakata Japan
F R Bloom United States
Emanuel Yakobson Israel
J Keener United States
Julian Davies United Kingdom
Michael L. Kahn United States
Luis Servı́n-González Mexico
F. Marion Hulett United States
Beate Rückert relative to R. Lurz Germany R. Lurz's profile →
Citations per field
00.5×1.5×
R. Lurz · 1×
Citations per year

Countries citing papers authored by Beate Rückert

Since Specialization
Citations

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

Fields of papers citing papers by Beate Rückert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beate Rückert

This figure shows the co-authorship network connecting the top 25 collaborators of Beate Rückert. A scholar is included among the top collaborators of Beate Rückert 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 Beate Rückert. Beate Rückert 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
#WorkIndexed citations
1 1
2 103
3 54
4 9
5 81
6 94
7 285
8 22
9
Specific-purpose plasmid cloning vectors II. Broad host range, high copy number, RSF 1010-derived vectors, and a host-vector system for gene cloning in Pseudomonasbreakdown →
964

About Beate Rückert

Beate Rückert is a scholar working on Molecular Medicine, Genetics and Ecology, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Molecular Medicine (156 citations), Genetics (740 citations) and Ecology (446 citations). Beate Rückert has collaborated with scholars based in Germany and Spain. Frequent co-authors include Michael Bagdasarian, R. Lurz, Kenneth N. Timmis, F. Chris H. Franklin, Joachim Frey, Rudi Lurz, Egon Amann, M Bagdasarian, Walter Messer and Klaus Bister. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

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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