Matthew S. Ackerman
Impact in
- Genetics top 2%
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Protist diversity and phylogeny
Papers in
- Genetics 11
- Evolution and Genetic Dynamics 10
- Genetic diversity and population structure 5
-
- Insect symbiosis and bacterial influences 2
- Co-authors
- Michael F. Lynch (14 shared papers)Way Sung (7 shared papers)Hongan Long (4 shared papers)Patricia L. Foster (2 shared papers)Jean-François Goût (2 shared papers)W. Kelley Thomas (1 shared paper)Samuel F. Miller (4 shared papers)Thomas G. Doak (5 shared papers)
- Journals
- Genetics (3 papers)Molecular Biology and Evolution (3 papers)Proceedings of the National Academy of Sciences (3 papers)G3 Genes Genomes Genetics (2 papers)Genome Biology and Evolution (2 papers)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Matthew S. Ackerman
15 papers receiving 1.6k citations
Matthew S. Ackerman's Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 950
- Molecular Biology 869
- Ecology 309
- Environmental Chemistry 99
- Aging 16
Countries citing papers authored by Matthew S. Ackerman
This map shows the geographic impact of Matthew S. Ackerman'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 Matthew S. Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Ackerman more than expected).
Fields of papers citing papers by Matthew S. Ackerman
This network shows the impact of papers produced by Matthew S. Ackerman. 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 Matthew S. Ackerman. The network helps show where Matthew S. Ackerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew S. Ackerman, 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 | Genetic drift, selection and the evolution of the mutation rate Hit paper breakdown → | 2016 | 580 |
| 2 | 2012 | 288 | |
| 3 | 2013 | 121 | |
| 4 | 2015 | 105 | |
| 5 | 2017 | 79 | |
| 6 | 2016 | 70 | |
| 7 | 2013 | 63 | |
| 8 | 2014 | 53 | |
| 9 | 2015 | 53 | |
| 10 | 2016 | 47 | |
| 11 | 2015 | 43 | |
| 12 | 2017 | 35 | |
| 13 | 2015 | 34 | |
| 14 | 2021 | 34 | |
| 15 | 2018 | 9 |
About Matthew S. Ackerman
Matthew S. Ackerman is a scholar working on Genetics, Insect Science, Environmental Chemistry, Nature and Landscape Conservation and Molecular Biology, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (10 papers), Genetic diversity and population structure (5 papers), Genomics and Phylogenetic Studies (5 papers), Plant and animal studies (2 papers), Insect symbiosis and bacterial influences (2 papers), DNA Repair Mechanisms (2 papers), Protist diversity and phylogeny (2 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (2 papers). The work is most often cited by research in Genetics (950 citations), Molecular Biology (869 citations), Ecology (309 citations), Environmental Chemistry (99 citations) and Aging (16 citations). Matthew S. Ackerman has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Michael F. Lynch, Way Sung, Hongan Long, Patricia L. Foster, Jean-François Goût, W. Kelley Thomas, Samuel F. Miller, Thomas G. Doak, Sen Xu and Ken Spitze. Their work appears in journals such as Genetics, Molecular Biology and Evolution, Proceedings of the National Academy of Sciences, G3 Genes Genomes Genetics and Genome 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.