Michael Lauber
Impact in
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- Tryptophan and brain disorders
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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
- Gut microbiota and health 2
- Gene Regulatory Network Analysis 2
- RNA Research and Splicing 1
- Surgery 1
- Pancreatic function and diabetes 1
- Co-authors
- Markus List (7 shared papers)Jan Baumbach (3 shared papers)Sandra Reitmeier (2 shared papers)Dirk Haller (2 shared papers)Monica Steffi Matchado (2 shared papers)Tim Kacprowski (1 shared paper)Markus Hoffmann (1 shared paper)Thomas Skurk (1 shared paper)
- Journals
- Briefings in Bioinformatics (1 paper)Scientific Reports (1 paper)PROTEOMICS (1 paper)Computational and Structural Biotechnology Journal (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Michael Lauber
7 papers receiving 236 citations
Michael Lauber's Hit Papers
Peers
Comparison fields: 5 of 77
- Biological Psychiatry 12
- Ecology 67
- Soil Science 20
- Pollution 24
- Molecular Biology 131
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 | 197 |
| 2 | 2023 | 11 | |
| 3 | 2022 | 10 | |
| 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 237 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (2 papers), Gut microbiota and health (2 papers), Gene Regulatory Network Analysis (2 papers), Pancreatic function and diabetes (1 paper), Complex Network Analysis Techniques (1 paper), RNA Research and Splicing (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Biological Psychiatry (12 citations), Ecology (67 citations), Soil Science (20 citations), Pollution (24 citations) and Molecular Biology (131 citations). Michael Lauber has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Markus List, Jan Baumbach, Sandra Reitmeier, Dirk Haller, Monica Steffi Matchado, Tim Kacprowski, Markus Hoffmann, Thomas Skurk, Martin Klingenspor and Fabian J. Theis. Their work appears in journals such as Briefings in Bioinformatics, Scientific Reports, PROTEOMICS, Computational and Structural Biotechnology Journal and Frontiers in Genetics.
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.