Martin Ackermann
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Aging top 0.5%
Papers in
- Aging 8
-
- Vibrio bacteria research studies 10
- Co-authors
- Michael DoebeliWolf‐Dietrich HardtStephen C. StearnsUrs JenalSimon van VlietAlma Dal CoSean A. CroweAria S Hahn
- 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 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Endocrinology 942
- Aging 317
- Molecular Medicine 603
- Genetics 2.6k
- Ecology 2.4k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2024 | 22 | |
| 3 | 2023 | 28 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 28 | |
| 8 | 2021 | 78 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 62 | |
| 12 | 2020 | 75 | |
| 13 | 2020 | 36 | |
| 14 | Short-range interactions govern the dynamics and functions of microbial communities Hit paper breakdown → | 2020 | 181 |
| 15 | 2019 | 7 | |
| 16 | 2019 | 59 | |
| 17 | 2019 | 35 | |
| 18 | 2017 | 50 | |
| 19 | 2017 | 129 | |
| 20 | 2014 | 55 |
About Martin Ackermann
Martin Ackermann is a scholar working on Aging, Endocrinology, Genetics, Ecology and Molecular Biology, having authored 109 papers that have together received 8.4k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (46 papers), Gene Regulatory Network Analysis (26 papers), Evolutionary Game Theory and Cooperation (22 papers), Microbial Community Ecology and Physiology (22 papers), Bacterial Genetics and Biotechnology (17 papers), Microbial Metabolic Engineering and Bioproduction (14 papers), Vibrio bacteria research studies (10 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Endocrinology (942 citations), Aging (317 citations), Molecular Medicine (603 citations), Genetics (2.6k citations) and Ecology (2.4k 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, Alma Dal Co, Sean A. Crowe, Aria S Hahn, Diane S. Srivastava and Stilianos Louca. 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.