Michael Sieber
Impact in
- Genetics top 10%
- Evolution and Genetic Dynamics
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
- Co-authors
- Frank M. Hilker (3 shared papers)Horst Malchow (5 shared papers)Arne Traulsen (9 shared papers)Hinrich Schulenburg (4 shared papers)Thomas C. G. Bosch (2 shared papers)Sebastian Fraune (2 shared papers)Lutz Schimansky-Geier (1 shared paper)Ivana Gudelj (2 shared papers)
- Journals
- Ecological Complexity (2 papers)Journal of The Royal Society Interface (2 papers)Journal of Animal Ecology (1 paper)PLoS Computational Biology (1 paper)Ecology Letters (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Michael Sieber
25 papers receiving 525 citations
Peers
Comparison fields: 5 of 90
- Genetics 209
- Public Health, Environmental and Occupational Health 149
- Ecology 149
- Biological Psychiatry 11
- Endocrinology 22
Countries citing papers authored by Michael Sieber
This map shows the geographic impact of Michael Sieber'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 Sieber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sieber more than expected).
Fields of papers citing papers by Michael Sieber
This network shows the impact of papers produced by Michael Sieber. 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 Sieber. The network helps show where Michael Sieber may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Sieber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2018 | 67 | |
| 3 | 2011 | 60 | |
| 4 | 2013 | 45 | |
| 5 | 2021 | 40 | |
| 6 | 2017 | 39 | |
| 7 | 2007 | 35 | |
| 8 | 2010 | 31 | |
| 9 | 2021 | 24 | |
| 10 | 2014 | 17 | |
| 11 | 2022 | 13 | |
| 12 | 2010 | 12 | |
| 13 | 1987 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2010 | 11 | |
| 16 | 2024 | 11 | |
| 17 | 2013 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2023 | 5 |
About Michael Sieber
Michael Sieber is a scholar working on Genetics, Ecology, Molecular Biology, Insect Science and Sociology and Political Science, having authored 25 papers that have together received 539 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (16 papers), Bacteriophages and microbial interactions (6 papers), Gut microbiota and health (5 papers), Insect symbiosis and bacterial influences (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Ecosystem dynamics and resilience (4 papers), Evolutionary Game Theory and Cooperation (4 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Genetics (209 citations), Public Health, Environmental and Occupational Health (149 citations), Ecology (149 citations), Biological Psychiatry (11 citations) and Endocrinology (22 citations). Michael Sieber has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Frank M. Hilker, Horst Malchow, Arne Traulsen, Hinrich Schulenburg, Thomas C. G. Bosch, Sebastian Fraune, Lutz Schimansky-Geier, Ivana Gudelj, Florence Bansept and Nancy Obeng. Their work appears in journals such as Ecological Complexity, Journal of The Royal Society Interface, Journal of Animal Ecology, PLoS Computational Biology and Ecology Letters.
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.