Aaron J. Windsor

2.3k citations
13 papers · 959 indexed · h-index 12

Aaron J. Windsor

13 papers receiving 942 citations

Peers

Aaron J. Windsor
Comparison fields: 5 of 71
  • Plant Science 513
  • Ecology, Evolution, Behavior and Systematics 250
  • Genetics 345
  • Molecular Biology 529
  • Nature and Landscape Conservation 83
Replace V. Vaughan Symonds with:
V. Vaughan Symonds New Zealand
Barbara Vornam Germany
Ticao Zhang China
Jean‐Marie Prosperi France
Ingrid Jordon‐Thaden United States
Brian G. Murray New Zealand
Eriko Sasaki Japan
Paul Kron Canada
Hai‐Fei Yan China
Eligio Bossolini Switzerland
Aaron J. Windsor relative to V. Vaughan Symonds New Zealand V. Vaughan Symonds's profile →
Citations per field
00.5×1.5×2.1×
V. Vaughan Symonds · 1×
Citations per year

Countries citing papers authored by Aaron J. Windsor

Since Specialization
Citations

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

Fields of papers citing papers by Aaron J. Windsor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron J. Windsor. 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 Aaron J. Windsor. The network helps show where Aaron J. Windsor may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Aaron J. Windsor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aaron J. Windsor Line = papers co-authored together Aaron J. Windsor links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2012138
2
Exploring Evolutionary Patterns in Genetic Sequence: A Computer Exercise
20102
3 2010190
4 200948
5 200851
6 200830
7 200772
8 200755
9 200628
10 2006180
11 200633
12 2005117
13 200015

About Aaron J. Windsor

Aaron J. Windsor is a scholar working on History and Philosophy of Science, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 13 papers that have together received 959 indexed citations. Recurring topics across this work include Genetic diversity and population structure (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (3 papers), Plant Taxonomy and Phylogenetics (2 papers), Plant Ecology and Taxonomy Studies (2 papers), Evolution and Genetic Dynamics (2 papers) and Moringa oleifera research and applications (2 papers). The work is most often cited by research in Plant Science (513 citations), Ecology, Evolution, Behavior and Systematics (250 citations) and Genetics (345 citations). Aaron J. Windsor has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Thomas Mitchell‐Olds, Bao‐Hua Song, M. Eric Schranz, Jonathan Gershenzon, Juergen Kroymann, Susanne Textor, Maxim V. Kapralov, Michael Reichelt, Toni I. Gossmann and Adam Eyre‐Walker. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLANT PHYSIOLOGY.

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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