Michael Sieber

899 citations
24 papers · 526 · h-index 12

Impact in

Papers in

    • Evolution and Genetic Dynamics 15
    • Bacteriophages and microbial interactions 6
    • Microbial Community Ecology and Physiology 3

Michael Sieber

24 papers receiving 514 citations

Peers

Michael Sieber
Comparison fields: 5 of 87
  • Genetics 205
  • Public Health, Environmental and Occupational Health 148
  • Ecology 146
  • Endocrinology 22
  • Insect Science 52
Replace Xiaoyun Ren with:
Xiaoyun Ren New Zealand
V. M. Dubyanskiy Russia
Paul Ettestad United States
Silvain Pinaud France
Christopher P. Brooks United States
Josue Liriano United States
Noelle I. Samia United States
Nikolay L. Klassovskiy Norway
Krisztián Mágori United States
Hildegard Uecker Germany
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Citations per field
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Xiaoyun Ren · 1×
Citations per year

Countries citing papers authored by Michael Sieber

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Sieber Line = papers co-authored together Michael Sieber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201970
2 201863
3 201160
4 201345
5 202140
6 201737
7 200735
8 201031
9 202124
10 201416
11 202213
12 201811
13 201011
14 202411
15 201011
16 198711
17 20139
18 20238
19 20208
20 20234

About Michael Sieber

Michael Sieber is a scholar working on Genetics, Ecology, Molecular Biology, Insect Science and Sociology and Political Science, having authored 24 papers that have together received 526 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (15 papers), Bacteriophages and microbial interactions (6 papers), Gut microbiota and health (5 papers), Insect symbiosis and bacterial influences (5 papers), Evolutionary Game Theory and Cooperation (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Microbial Community Ecology and Physiology (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). The work is most often cited by research in Genetics (205 citations), Public Health, Environmental and Occupational Health (148 citations), Ecology (146 citations), Endocrinology (22 citations) and Insect Science (52 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, Lutz Schimansky-Geier, Thomas C. G. Bosch, Sebastian Fraune, 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, Physics Letters A and mBio.

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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