Sina Beier
Impact in
- Ecology top 5%
- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Bacteriophages and microbial interactions
- Endocrinology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 5
- Gut microbiota and health 4
- Ecology 5
- Microbial Community Ecology and Physiology 4
- Co-authors
- Daniel H. Huson (5 shared papers)Anna Górska (3 shared papers)Mohamed El-Hadidi (1 shared paper)Hans‐Joachim Ruscheweyh (1 shared paper)Suparna Mitra (1 shared paper)Rewati Tappu (1 shared paper)Isabell Flade (1 shared paper)Anna Lange (3 shared papers)
- Journals
- BMC Genomics (1 paper)PLoS Computational Biology (1 paper)Cell Death and Disease (1 paper)Genome Biology and Evolution (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- GermanyUnited KingdomSingapore
In The Last Decade
Sina Beier
9 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Ecology 589
- Endocrinology 64
- Insect Science 130
- Molecular Biology 653
- Molecular Medicine 43
Countries citing papers authored by Sina Beier
This map shows the geographic impact of Sina Beier'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 Sina Beier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sina Beier more than expected).
Fields of papers citing papers by Sina Beier
This network shows the impact of papers produced by Sina Beier. 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 Sina Beier. The network helps show where Sina Beier may publish in the future.
Co-authors
The 25 scholars most cited alongside Sina Beier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data Hit paper breakdown → | 2016 | 1190 |
| 2 | 2018 | 80 | |
| 3 | 2019 | 58 | |
| 4 | 2018 | 38 | |
| 5 | 2019 | 27 | |
| 6 | 2016 | 19 | |
| 7 | 2019 | 15 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2022 | 0 |
About Sina Beier
Sina Beier is a scholar working on Molecular Biology, Ecology, Genetics, Insect Science and Surgery, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (4 papers), Gut microbiota and health (4 papers), Insect symbiosis and bacterial influences (2 papers), Bacterial Genetics and Biotechnology (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Insect and Pesticide Research (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Ecology (589 citations), Endocrinology (64 citations), Insect Science (130 citations), Molecular Biology (653 citations) and Molecular Medicine (43 citations). Sina Beier has collaborated with scholars based in Germany, United Kingdom and Singapore. Frequent co-authors include Daniel H. Huson, Anna Górska, Mohamed El-Hadidi, Hans‐Joachim Ruscheweyh, Suparna Mitra, Rewati Tappu, Isabell Flade, Anna Lange, Julia-Stefanie Frick and Raphael Parusel. Their work appears in journals such as BMC Genomics, PLoS Computational Biology, Cell Death and Disease, Genome Biology and Evolution and Frontiers in Immunology.
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.