Matthew S. Ackerman

2.6k citations
16 papers · 1.6k indexed · 1 hit paper · h-index 15
Topics
Evolution and Genetic Dynamics (10 papers)Genetic diversity and population structure (5 papers)Genomics and Phylogenetic Studies (5 papers)

In The Last Decade

Matthew S. Ackerman

16 papers receiving 1.6k citations

Hit Papers

Genetic drift, selection and the evolution of the mutatio...20162026201920222016100200300400500

Peers

Matthew S. Ackerman
Comparison fields: 5 of 104
  • Genetics 984
  • Molecular Biology 903
  • Ecology 310
  • Plant Science 254
  • Cancer Research 127
Replace Hongan Long with:
Hongan Long China
Jean-François Goût United States
Sarah Schaack United States
Filipe Pereira Portugal
Abraham E. Tucker United States
Einat Hazkani‐Covo Israel
Nicolas Rodrigue Canada
Peter D. Fields Switzerland
Melissa M. Pentony United Kingdom
Emmanuel D. Ladoukakis Greece
Matthew S. Ackerman relative to Hongan Long China Hongan Long's profile →
Citations per field
00.5×1.5×1.8×
Hongan Long · 1×
Citations per year

Countries citing papers authored by Matthew S. Ackerman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew S. Ackerman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Ackerman. A scholar is included among the top collaborators of Matthew S. Ackerman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew S. Ackerman. Matthew S. Ackerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 29
2 9
3 32
4 74
5
Genetic drift, selection and the evolution of the mutation ratebreakdown →
528
6 64
7 44
8 74
9 52
10 103
11 43
12 33
13 52
14 114
15 59
16 275

About Matthew S. Ackerman

Matthew S. Ackerman is a scholar working on Genetics, Insect Science and Environmental Chemistry, having authored 16 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) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Genetics (984 citations), Molecular Biology (903 citations) and Ecology (310 citations). Matthew S. Ackerman has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Michael Lynch, Way Sung, Hongan Long, Patricia L. Foster, Jean-François Goût, Samuel F. Miller, Thomas G. Doak, W. Kelley Thomas, Sen Xu and Abraham E. Tucker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Reviews Genetics and 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.

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