Daniela Beißer

1.9k total citations
45 papers, 920 citations indexed

About

Daniela Beißer is a scholar working on Molecular Biology, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniela Beißer has authored 45 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 25 papers in Ecology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniela Beißer's work include Microbial Community Ecology and Physiology (23 papers), Protist diversity and phylogeny (18 papers) and Genomics and Phylogenetic Studies (12 papers). Daniela Beißer is often cited by papers focused on Microbial Community Ecology and Physiology (23 papers), Protist diversity and phylogeny (18 papers) and Genomics and Phylogenetic Studies (12 papers). Daniela Beißer collaborates with scholars based in Germany, Austria and United States. Daniela Beißer's co-authors include Jens Boenigk, Thomas Dandekar, Tobias Müller, Gunnar W. Klau, Marcus Dittrich, Christina Böck, Manfred Jensen, Sven Rahmann, Lars Großmann and Julia K. Nuy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Daniela Beißer

44 papers receiving 913 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Beißer Germany 17 559 334 103 85 81 45 920
Chao Peng China 23 514 0.9× 211 0.6× 28 0.3× 122 1.4× 150 1.9× 52 1.4k
Véronique Berteaux‐Lecellier France 23 682 1.2× 419 1.3× 49 0.5× 67 0.8× 34 0.4× 49 1.3k
Lejla Pašić Slovenia 18 1.1k 1.9× 912 2.7× 26 0.3× 56 0.7× 74 0.9× 42 1.8k
Xiaoxu Tian China 16 660 1.2× 140 0.4× 36 0.3× 87 1.0× 21 0.3× 42 1.1k
Patrizia Pagliara Italy 18 216 0.4× 219 0.7× 31 0.3× 203 2.4× 83 1.0× 51 1.0k
Paul M.M. Weers United States 23 667 1.2× 146 0.4× 40 0.4× 400 4.7× 61 0.8× 57 1.4k
Ray Keren United States 13 378 0.7× 460 1.4× 51 0.5× 40 0.5× 14 0.2× 18 874
L. Rasmussen Denmark 20 701 1.3× 239 0.7× 18 0.2× 27 0.3× 83 1.0× 74 1.2k
Huaxin Chen China 19 542 1.0× 56 0.2× 116 1.1× 50 0.6× 18 0.2× 74 1.1k
Heng Jiang China 23 925 1.7× 69 0.2× 45 0.4× 103 1.2× 60 0.7× 87 1.5k

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-authorship network of co-authors of Daniela Beißer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Beißer. A scholar is included among the top collaborators of Daniela Beißer 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 Daniela Beißer. Daniela Beißer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Deep, Aman, Dominik Buchner, Mikayla Borton, et al.. (2025). Complex compositional and metabolic response of river sediment microbiomes to multiple anthropogenic stressors. ISME Communications. 1 indexed citations
3.
Deep, Aman, et al.. (2025). Unravelling the temporal dynamics of community functions in protists induced by treated wastewater exposure using metatranscriptomics. Scientific Reports. 15(1). 23957–23957. 1 indexed citations
4.
Buchner, Dominik, Aman Deep, Daniela Beißer, et al.. (2024). Assessing the response of an urban stream ecosystem to salinization under different flow regimes. The Science of The Total Environment. 926. 171849–171849. 7 indexed citations
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Böck, Christina, Maryam Vosough, Mark Schumann, et al.. (2023). Exploring the efficacy of metabarcoding and non-target screening for detecting treated wastewater. The Science of The Total Environment. 903. 167457–167457. 6 indexed citations
8.
Agatha, Sabine, Daniela Beißer, Jens Boenigk, et al.. (2022). Molecular Data Reveal a Cryptic Diversity in the Genus Urotricha (Alveolata, Ciliophora, Prostomatida), a Key Player in Freshwater Lakes, With Remarks on Morphology, Food Preferences, and Distribution. Frontiers in Microbiology. 12. 787290–787290. 19 indexed citations
9.
Beißer, Daniela, et al.. (2022). The relationship between land cover and microbial community composition in European lakes. The Science of The Total Environment. 825. 153732–153732. 6 indexed citations
10.
Beißer, Daniela, et al.. (2021). Quantification of the covariation of lake microbiomes and environmental variables using a machine learning‐based framework. Molecular Ecology. 30(9). 2131–2144. 16 indexed citations
11.
Welzel, Marius, Anja Lange, Dominik Heider, et al.. (2020). Natrix: a Snakemake-based workflow for processing, clustering, and taxonomically assigning amplicon sequencing reads. BMC Bioinformatics. 21(1). 526–526. 18 indexed citations
12.
Beißer, Daniela, et al.. (2020). Protistan and fungal diversity in soils and freshwater lakes are substantially different. Scientific Reports. 10(1). 20025–20025. 12 indexed citations
13.
Nuy, Julia K., et al.. (2020). Ecological Differentiation in Two Major Freshwater Bacterial Taxa Along Environmental Gradients. Frontiers in Microbiology. 11. 154–154. 22 indexed citations
14.
Okimoto, Ross A., Christiane A. Opitz, Ahmed Sadik, et al.. (2020). Functional screening identifies aryl hydrocarbon receptor as suppressor of lung cancer metastasis. Oncogenesis. 9(11). 102–102. 30 indexed citations
15.
Beißer, Daniela, Christina Böck, Martin W. Hahn, et al.. (2019). Interaction-Specific Changes in the Transcriptome of Polynucleobacter asymbioticus Caused by Varying Protistan Communities. Frontiers in Microbiology. 10. 1498–1498. 6 indexed citations
16.
Beißer, Daniela, et al.. (2017). TaxMapper: an analysis tool, reference database and workflow for metatranscriptome analysis of eukaryotic microorganisms. BMC Genomics. 18(1). 787–787. 9 indexed citations
17.
Beißer, Daniela, Nadine Graupner, Christina Böck, et al.. (2017). Comprehensive transcriptome analysis provides new insights into nutritional strategies and phylogenetic relationships of chrysophytes. PeerJ. 5. e2832–e2832. 30 indexed citations
18.
Beißer, Daniela, Farnusch Kaschani, Nadine Graupner, et al.. (2017). Quantitative Proteomics Reveals Ecophysiological Effects of Light and Silver Stress on the Mixotrophic Protist Poterioochromonas malhamensis. PLoS ONE. 12(1). e0168183–e0168183. 8 indexed citations
19.
Krüger, Anne, Marina Oldenburg, Daniela Beißer, et al.. (2015). Human TLR 8 senses UR / URR motifs in bacterial and mitochondrial RNA. EMBO Reports. 16(12). 1656–1663. 76 indexed citations
20.
Beißer, Daniela, Markus A. Grohme, Joachim Kopka, et al.. (2012). Integrated pathway modules using time-course metabolic profiles and EST data from Milnesium tardigradum. BMC Systems Biology. 6(1). 72–72. 8 indexed citations

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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