Matthew A. Gitzendanner
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Molecular Biology top 5%
- Plant Science top 1%
- Genetics top 1%
- Nature and Landscape Conservation top 5%
- Co-authors
- Pamela S. SoltisBrad R. RuhfelJ. Gordon BurleighGane Ka‐Shu WongEvgeny V. MavrodievGregory W. StullCharlotte C. Germain‐AubreyKari A. Segraves
- Topics
- Genetic diversity and population structure (25 papers)Plant Diversity and Evolution (23 papers)Genomics and Phylogenetic Studies (16 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Matthew A. Gitzendanner
66 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Ecology, Evolution, Behavior and Systematics 2.0k
- Molecular Biology 2.0k
- Plant Science 1.6k
- Genetics 1.4k
- Nature and Landscape Conservation 394
Countries citing papers authored by Matthew A. Gitzendanner
This map shows the geographic impact of Matthew A. Gitzendanner'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 A. Gitzendanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Gitzendanner more than expected).
Fields of papers citing papers by Matthew A. Gitzendanner
This network shows the impact of papers produced by Matthew A. Gitzendanner. 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 A. Gitzendanner. The network helps show where Matthew A. Gitzendanner may publish in the future.
Co-authorship network of co-authors of Matthew A. Gitzendanner
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Gitzendanner. A scholar is included among the top collaborators of Matthew A. Gitzendanner 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 A. Gitzendanner. Matthew A. Gitzendanner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 113 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 214 | |
| 10 | 11 | |
| 11 | 74 | |
| 12 | 139 | |
| 13 | 22 | |
| 14 | 36 | |
| 15 | 72 | |
| 16 | 64 | |
| 17 | From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomesbreakdown → | 380 |
| 18 | 62 | |
| 19 | 27 | |
| 20 | 4 |
About Matthew A. Gitzendanner
Matthew A. Gitzendanner is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Plant Science, having authored 66 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genetic diversity and population structure (25 papers), Plant Diversity and Evolution (23 papers) and Genomics and Phylogenetic Studies (16 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (2.0k citations), Genetics (1.4k citations) and Ecological Modeling (202 citations). Matthew A. Gitzendanner has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Pamela S. Soltis, Brad R. Ruhfel, J. Gordon Burleigh, Gane Ka‐Shu Wong, Evgeny V. Mavrodiev, Gregory W. Stull, Charlotte C. Germain‐Aubrey, Kari A. Segraves, Michael J. Moore and David M. Althoff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.