Renzo Kottmann

4.6k citations
35 papers · 655 · h-index 12

Impact in

  • Ecology top 5%
    • Microbial Community Ecology and Physiology
    • Environmental DNA in Biodiversity Studies
    • Bacteriophages and microbial interactions
    • Species Distribution and Climate Change

Papers in

    • Genomics and Phylogenetic Studies 26
    • Biomedical Text Mining and Ontologies 7
    • Gene expression and cancer classification 2
    • Bioinformatics and Genomic Networks 2
    • Microbial Community Ecology and Physiology 19
    • Environmental DNA in Biodiversity Studies 10

Renzo Kottmann

34 papers receiving 630 citations

Peers

Renzo Kottmann
Comparison fields: 5 of 86
  • Ecology 297
  • Ecological Modeling 41
  • Pharmacology 117
  • Microbiology 5
  • Molecular Biology 424
Replace Ioanna Pagani with:
Ioanna Pagani United States
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Citations per field
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Citations per year

Countries citing papers authored by Renzo Kottmann

Since Specialization
Citations

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

Fields of papers citing papers by Renzo Kottmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016196
2 200871
3 200851
4 200850
5 201845
6 200838
7 200930
8 201222
9 201017
10 201514
11 201313
12 201113
13 201310
14 20127
15 20107
16 20077
17 20116
18 20086
19 20106
20 20106

About Renzo Kottmann

Renzo Kottmann is a scholar working on Molecular Biology, Ecology, Geology, Information Systems and Artificial Intelligence, having authored 35 papers that have together received 655 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (26 papers), Microbial Community Ecology and Physiology (19 papers), Environmental DNA in Biodiversity Studies (10 papers), Biomedical Text Mining and Ontologies (7 papers), Environmental Monitoring and Data Management (3 papers), Gene expression and cancer classification (2 papers), Species Distribution and Climate Change (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Ecology (297 citations), Ecological Modeling (41 citations), Pharmacology (117 citations), Microbiology (5 citations) and Molecular Biology (424 citations). Renzo Kottmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Frank Oliver Glöckner, Sang Yup Lee, Marnix H. Medema, Kai Blin, Tilmann Weber, Jörg Peplies, Wolfgang Ludwig, Thierry Lombardot, Pelin Yilmaz and Melissa B. Duhaime. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Systematic and Applied Microbiology, Nucleic Acids Research and OMICS A Journal of Integrative Biology.

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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