Michael S. Barker

12.8k citations
69 papers · 4.7k indexed · 1 hit paper · h-index 34
Topics
Genomics and Phylogenetic Studies (33 papers)Chromosomal and Genetic Variations (33 papers)Genetic diversity and population structure (22 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Michael S. Barker

68 papers receiving 4.6k citations

Hit Papers

The frequency of polyploid speciation in vascular plants200920262014202020092505007501000

Peers

Michael S. Barker
Comparison fields: 5 of 98
  • Plant Science 3.0k
  • Molecular Biology 2.6k
  • Ecology, Evolution, Behavior and Systematics 1.8k
  • Genetics 1.4k
  • Cell Biology 203
Replace Norman J. Wickett with:
Norman J. Wickett United States
Andrea D. Wolfe United States
Tao Sang China
Martin A. Lysák Czechia
Frank R. Blattner Germany
Seung‐Chul Kim South Korea
Hong De‐Yuan China
Edgar B. Lickey United States
Anne K. Brysting Norway
Ting‐Shuang Yi China
Michael S. Barker relative to Norman J. Wickett United States Norman J. Wickett's profile →
Citations per field
00.5×1.7×
Norman J. Wickett · 1×
Citations per year

Countries citing papers authored by Michael S. Barker

Since Specialization
Citations

This map shows the geographic impact of Michael S. Barker'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 S. Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Barker more than expected).

Fields of papers citing papers by Michael S. Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Barker. 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 S. Barker. The network helps show where Michael S. Barker may publish in the future.

Co-authorship network of co-authors of Michael S. Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Barker. A scholar is included among the top collaborators of Michael S. Barker 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 Michael S. Barker. Michael S. Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 5
4 36
5 27
6 21
7 14
8 22
9 41
10 113
11 67
12 122
13 45
14 75
15 184
16 99
17 70
18
The frequency of polyploid speciation in vascular plantsbreakdown →
1025
19 252
20 24

About Michael S. Barker

Michael S. Barker is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Genetics, having authored 69 papers that have together received 4.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (33 papers), Chromosomal and Genetic Variations (33 papers) and Genetic diversity and population structure (22 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.8k citations), Plant Science (3.0k citations) and Genetics (1.4k citations). Michael S. Barker has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Loren H. Rieseberg, Itay Mayrose, Philip B. Greenspoon, Troy E. Wood, Naoki Takebayashi, Nils Arrigo, Sarah P. Otto, Nolan C. Kane, Shing H. Zhan and Paul G. Wolf. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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