Fritz Matzk
- Plant Science top 5%
- Ecology, Evolution, Behavior and Systematics top 1%
- Molecular Biology
- Nature and Landscape Conservation top 10%
- Genetics
- Co-authors
- Ingo SchubertArmin MeisterAndrea MahnKarl HammerJochen KumlehnHelmut BäumleinSlaven ProdanovićDorota Gernand
- Topics
- Plant Taxonomy and Phylogenetics (21 papers)Plant Reproductive Biology (11 papers)Botany and Plant Ecology Studies (7 papers)
- Partner nations
- GermanyNetherlandsItaly
In The Last Decade
Fritz Matzk
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 56
- Plant Science 769
- Ecology, Evolution, Behavior and Systematics 695
- Molecular Biology 434
- Nature and Landscape Conservation 133
- Genetics 68
Countries citing papers authored by Fritz Matzk
This map shows the geographic impact of Fritz Matzk'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 Fritz Matzk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fritz Matzk more than expected).
Fields of papers citing papers by Fritz Matzk
This network shows the impact of papers produced by Fritz Matzk. 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 Fritz Matzk. The network helps show where Fritz Matzk may publish in the future.
Co-authorship network of co-authors of Fritz Matzk
This figure shows the co-authorship network connecting the top 25 collaborators of Fritz Matzk. A scholar is included among the top collaborators of Fritz Matzk 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 Fritz Matzk. Fritz Matzk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 153 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 27 | |
| 7 | 59 | |
| 8 | 32 | |
| 9 | 96 | |
| 10 | 279 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 56 | |
| 15 | 33 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | Results of interspecific and intergeneric crosses in the Gramineae in relation to natural reproductive isolating mechanisms. | 5 |
| 19 | Relationships between interspecific incompatibility and self-incompatibility in grasses. | 3 |
| 20 | 3 |
About Fritz Matzk
Fritz Matzk is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Agronomy and Crop Science, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Taxonomy and Phylogenetics (21 papers), Plant Reproductive Biology (11 papers) and Botany and Plant Ecology Studies (7 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (695 citations), Plant Science (769 citations) and Nature and Landscape Conservation (133 citations). Fritz Matzk has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Ingo Schubert, Armin Meister, Andrea Mahn, Karl Hammer, Jochen Kumlehn, Helmut Bäumlein, Slaven Prodanović, Dorota Gernand, Andreas Houben and Alok Varshney. Their work appears in journals such as The Plant Cell, The Plant Journal and Theoretical and Applied 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.