Martin Ackermann
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Aging top 0.5%
Papers in
-
- Gene Regulatory Network Analysis 23
- Microbial Metabolic Engineering and Bioproduction 12
- Gut microbiota and health 9
- Genetics 57
- Evolution and Genetic Dynamics 44
- Bacterial Genetics and Biotechnology 17
- Co-authors
- Michael Doebeli (8 shared papers)Wolf‐Dietrich Hardt (11 shared papers)Stephen C. Stearns (7 shared papers)Urs Jenal (4 shared papers)Simon van Vliet (11 shared papers)Mary I. O’Connor (1 shared paper)Martin F. Polz (1 shared paper)Stilianos Louca (1 shared paper)
- Journals
- The ISME Journal (9 papers)Proceedings of the National Academy of Sciences (8 papers)PLoS Genetics (8 papers)PLoS Biology (5 papers)Evolution (5 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Martin Ackermann
107 papers receiving 8.5k citations
Martin Ackermann's Hit Papers
Peers
Comparison fields: 5 of 172
- Endocrinology 918
- Aging 302
- Molecular Medicine 581
- Genetics 2.5k
- Ecology 2.3k
Countries citing papers authored by Martin Ackermann
This map shows the geographic impact of Martin Ackermann'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 Martin Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Ackermann more than expected).
Fields of papers citing papers by Martin Ackermann
This network shows the impact of papers produced by Martin Ackermann. 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 Martin Ackermann. The network helps show where Martin Ackermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Ackermann, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Function and functional redundancy in microbial systems Hit paper breakdown → | 2018 | 1291 |
| 2 | A functional perspective on phenotypic heterogeneity in microorganisms Hit paper breakdown → | 2015 | 629 |
| 3 | 2010 | 362 | |
| 4 | 2012 | 353 | |
| 5 | 2008 | 326 | |
| 6 | A Synthetic Community Approach Reveals Plant Genotypes Affecting the Phyllosphere Microbiota Hit paper breakdown → | 2014 | 317 |
| 7 | 2013 | 244 | |
| 8 | 2000 | 226 | |
| 9 | 2014 | 208 | |
| 10 | 2011 | 198 | |
| 11 | Short-range interactions govern the dynamics and functions of microbial communities Hit paper breakdown → | 2020 | 187 |
| 12 | 2003 | 187 | |
| 13 | 2009 | 174 | |
| 14 | 2004 | 158 | |
| 15 | 2014 | 158 | |
| 16 | 2012 | 136 | |
| 17 | 2017 | 134 | |
| 18 | 2018 | 115 | |
| 19 | 2014 | 108 | |
| 20 | 2012 | 106 |
About Martin Ackermann
Martin Ackermann is a scholar working on Molecular Biology, Genetics, Ecology, Sociology and Political Science and Endocrinology, having authored 111 papers that have together received 8.6k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (44 papers), Microbial Community Ecology and Physiology (23 papers), Gene Regulatory Network Analysis (23 papers), Evolutionary Game Theory and Cooperation (18 papers), Bacterial Genetics and Biotechnology (17 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Vibrio bacteria research studies (10 papers) and Gut microbiota and health (9 papers). The work is most often cited by research in Endocrinology (918 citations), Aging (302 citations), Molecular Medicine (581 citations), Genetics (2.5k citations) and Ecology (2.3k citations). Martin Ackermann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Michael Doebeli, Wolf‐Dietrich Hardt, Stephen C. Stearns, Urs Jenal, Simon van Vliet, Mary I. O’Connor, Martin F. Polz, Stilianos Louca, Aria S Hahn and Sean A. Crowe. Their work appears in journals such as The ISME Journal, Proceedings of the National Academy of Sciences, PLoS Genetics, PLoS Biology and Evolution.
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.