Michael Kolbe
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Vibrio bacteria research studies
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- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
Papers in
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- Escherichia coli research studies 14
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- vaccines and immunoinformatics approaches 5
- Lipid Membrane Structure and Behavior 4
- Co-authors
- Dieter Oesterhelt (2 shared papers)Hüseyin Besir (1 shared paper)Lars‐Oliver Essen (1 shared paper)Michele Lunelli (11 shared papers)Christian Goosmann (4 shared papers)Arturo Zychlinsky (4 shared papers)Klaus Peter Hofmann (1 shared paper)Ravi K. Lokareddy (3 shared papers)
- Journals
- PLoS Pathogens (5 papers)Protein Science (3 papers)Cellular Microbiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Michael Kolbe
32 papers receiving 1.8k citations
Michael Kolbe's Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology 425
- Cellular and Molecular Neuroscience 462
- Molecular Medicine 119
- Structural Biology 22
- Genetics 390
Countries citing papers authored by Michael Kolbe
This map shows the geographic impact of Michael Kolbe'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 Kolbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kolbe more than expected).
Fields of papers citing papers by Michael Kolbe
This network shows the impact of papers produced by Michael Kolbe. 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 Kolbe. The network helps show where Michael Kolbe may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Kolbe, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 437 | |
| 2 | Atomic model of the type III secretion system needle Hit paper breakdown → | 2012 | 282 |
| 3 | 2007 | 169 | |
| 4 | 2006 | 107 | |
| 5 | 2020 | 90 | |
| 6 | 2009 | 88 | |
| 7 | 2011 | 60 | |
| 8 | 2010 | 60 | |
| 9 | 2012 | 55 | |
| 10 | 2012 | 55 | |
| 11 | 2013 | 49 | |
| 12 | 2017 | 49 | |
| 13 | 2014 | 38 | |
| 14 | 2010 | 35 | |
| 15 | 2020 | 35 | |
| 16 | 2002 | 31 | |
| 17 | 2007 | 26 | |
| 18 | 2019 | 26 | |
| 19 | 2020 | 22 | |
| 20 | 2012 | 17 |
About Michael Kolbe
Michael Kolbe is a scholar working on Endocrinology, Molecular Biology, Genetics, Infectious Diseases and Ecology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Escherichia coli research studies (14 papers), Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (7 papers), vaccines and immunoinformatics approaches (5 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Antibiotic Resistance in Bacteria (4 papers), Salmonella and Campylobacter epidemiology (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Endocrinology (425 citations), Cellular and Molecular Neuroscience (462 citations), Molecular Medicine (119 citations), Structural Biology (22 citations) and Genetics (390 citations). Michael Kolbe has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Dieter Oesterhelt, Hüseyin Besir, Lars‐Oliver Essen, Michele Lunelli, Christian Goosmann, Arturo Zychlinsky, Klaus Peter Hofmann, Ravi K. Lokareddy, Oliver P. Ernst and Adam Lange. Their work appears in journals such as PLoS Pathogens, Protein Science, Cellular Microbiology, Proceedings of the National Academy of Sciences and Journal of Molecular Biology.
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.