Daniela Beißer

1.9k citations
46 papers · 941 · h-index 18

Impact in

  • Ecology top 5%
    • Microbial Community Ecology and Physiology
    • Environmental DNA in Biodiversity Studies
    • Protist diversity and phylogeny
    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies

Papers in

    • Protist diversity and phylogeny 19
    • Genomics and Phylogenetic Studies 10
    • Gut microbiota and health 3
    • Microbial Community Ecology and Physiology 21
    • Environmental DNA in Biodiversity Studies 11

Daniela Beißer

45 papers receiving 934 citations

Peers

Daniela Beißer
Comparison fields: 5 of 108
  • Ecology 329
  • Molecular Biology 540
  • Oceanography 74
  • Ecology, Evolution, Behavior and Systematics 104
  • Pollution 54
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Daniela Beißer relative to Josh L. Espinoza United States Josh L. Espinoza's profile →
Citations per field
00.5×2.7×
Josh L. Espinoza · 1×
Citations per year

Countries citing papers authored by Daniela Beißer

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Beißer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010167
2 201579
3 201871
4 202060
5 200954
6 201446
7 201234
8 201731
9 202031
10 202030
11 202024
12 201824
13 201623
14 202219
15 202019
16 201718
17 202117
18 201617
19 202116
20 201215

About Daniela Beißer

Daniela Beißer is a scholar working on Molecular Biology, Ecology, Ecology, Evolution, Behavior and Systematics, Pollution and Plant Science, having authored 46 papers that have together received 941 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (21 papers), Protist diversity and phylogeny (19 papers), Environmental DNA in Biodiversity Studies (11 papers), Genomics and Phylogenetic Studies (10 papers), Tardigrade Biology and Ecology (4 papers), Gut microbiota and health (3 papers), Biocrusts and Microbial Ecology (3 papers) and Algal biology and biofuel production (2 papers). The work is most often cited by research in Ecology (329 citations), Molecular Biology (540 citations), Oceanography (74 citations), Ecology, Evolution, Behavior and Systematics (104 citations) and Pollution (54 citations). Daniela Beißer has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Jens Boenigk, Tobias Müller, Thomas Dandekar, Marcus Dittrich, Gunnar W. Klau, Christina Böck, Manfred Jensen, Sven Rahmann, Lars Großmann and Julia K. Nuy. Their work appears in journals such as Frontiers in Microbiology, Bioinformatics, PeerJ, The Science of The Total Environment and Scientific Reports.

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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