Michael Habig
Impact in
- Aging top 10%
- Insect Science top 10%
- Insect symbiosis and bacterial influences
Papers in
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- Plant Disease Resistance and Genetics 6
- Plant-Microbe Interactions and Immunity 5
- Chromosomal and Genetic Variations 5
- Wheat and Barley Genetics and Pathology 3
-
- Fungal and yeast genetics research 2
- Co-authors
- Eva H. Stukenbrock (12 shared papers)Mareike Möller (3 shared papers)Michael Freitag (3 shared papers)Cécile Lorrain (3 shared papers)Alice Feurtey (3 shared papers)Dominique Bertrand (1 shared paper)K. Mary Webberley (1 shared paper)Michael E. N. Majerus (1 shared paper)
- Journals
- Nature Communications (2 papers)Genes (2 papers)mBio (2 papers)SLAS DISCOVERY (1 paper)PLoS Genetics (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Habig
18 papers receiving 540 citations
Peers
Comparison fields: 5 of 61
- Aging 38
- Insect Science 95
- Plant Science 277
- Cell Biology 122
- Molecular Biology 234
Countries citing papers authored by Michael Habig
This map shows the geographic impact of Michael Habig'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 Habig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Habig more than expected).
Fields of papers citing papers by Michael Habig
This network shows the impact of papers produced by Michael Habig. 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 Habig. The network helps show where Michael Habig may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Habig, 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 | 2001 | 79 | |
| 2 | 2008 | 64 | |
| 3 | 2018 | 62 | |
| 4 | 2021 | 53 | |
| 5 | 2011 | 52 | |
| 6 | 2017 | 38 | |
| 7 | 2020 | 32 | |
| 8 | 2021 | 26 | |
| 9 | 2009 | 25 | |
| 10 | 2018 | 24 | |
| 11 | 2006 | 21 | |
| 12 | 2019 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2022 | 14 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2025 | 1 | |
| 19 | 2026 | 0 |
About Michael Habig
Michael Habig is a scholar working on Plant Science, Molecular Biology, Cell Biology, Genetics and Insect Science, having authored 19 papers that have together received 544 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (6 papers), Plant-Microbe Interactions and Immunity (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Chromosomal and Genetic Variations (5 papers), Wheat and Barley Genetics and Pathology (3 papers), Insect symbiosis and bacterial influences (2 papers), Fungal and yeast genetics research (2 papers) and Entomopathogenic Microorganisms in Pest Control (2 papers). The work is most often cited by research in Aging (38 citations), Insect Science (95 citations), Plant Science (277 citations), Cell Biology (122 citations) and Molecular Biology (234 citations). Michael Habig has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Eva H. Stukenbrock, Mareike Möller, Michael Freitag, Cécile Lorrain, Alice Feurtey, Dominique Bertrand, K. Mary Webberley, Michael E. N. Majerus, Andreas Billich and Gregory D. D. Hurst. Their work appears in journals such as Nature Communications, Genes, mBio, SLAS DISCOVERY and PLoS 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.