Michael Lauber
Impact in
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- Microbial Community Ecology and Physiology
Papers in
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
- Gene Regulatory Network Analysis 2
- Gut microbiota and health 2
- Genomics and Chromatin Dynamics 1
- Metabolomics and Mass Spectrometry Studies 1
- Microbial Metabolic Engineering and Bioproduction 1
- Surgery 1
- Co-authors
- Markus List (7 shared papers)Jan Baumbach (3 shared papers)Dirk Haller (2 shared papers)Monica Steffi Matchado (2 shared papers)Sandra Reitmeier (2 shared papers)Tim Kacprowski (1 shared paper)Beate Brandl (1 shared paper)Christoph Ogris (2 shared papers)
- Journals
- PROTEOMICS (1 paper)Briefings in Bioinformatics (1 paper)Frontiers in Genetics (1 paper)Computational and Structural Biotechnology Journal (1 paper)Microbial Genomics (1 paper)
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Michael Lauber
7 papers receiving 267 citations
Michael Lauber's Hit Papers
Peers
Comparison fields: 5 of 78
- Biological Psychiatry 9
- Ecology 66
- Soil Science 23
- Pollution 25
- Molecular Biology 135
Countries citing papers authored by Michael Lauber
This map shows the geographic impact of Michael Lauber'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 Michael Lauber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lauber more than expected).
Fields of papers citing papers by Michael Lauber
This network shows the impact of papers produced by Michael Lauber. 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 Michael Lauber. The network helps show where Michael Lauber may publish in the future.
Co-authors
The 19 scholars most cited alongside Michael Lauber, 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 | Network analysis methods for studying microbial communities: A mini review Hit paper breakdown → | 2021 | 226 |
| 2 | 2022 | 12 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 6 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 1 |
About Michael Lauber
Michael Lauber is a scholar working on Molecular Biology, Surgery, Statistical and Nonlinear Physics, Ecology and Epidemiology, having authored 7 papers that have together received 268 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (2 papers), Gene Regulatory Network Analysis (2 papers), Gut microbiota and health (2 papers), Genomics and Chromatin Dynamics (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Complex Network Analysis Techniques (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Biological Psychiatry (9 citations), Ecology (66 citations), Soil Science (23 citations), Pollution (25 citations) and Molecular Biology (135 citations). Michael Lauber has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Markus List, Jan Baumbach, Dirk Haller, Monica Steffi Matchado, Sandra Reitmeier, Tim Kacprowski, Beate Brandl, Christoph Ogris, Maximilian Zwiebel and Fabian J. Theis. Their work appears in journals such as PROTEOMICS, Briefings in Bioinformatics, Frontiers in Genetics, Computational and Structural Biotechnology Journal and Microbial Genomics.
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.