Martin Pfosser
- Plant Science top 2%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 1%
- Genetics
- Cell Biology
- Co-authors
- Erwin Heberle‐BorsFranz SpetaWolfgang WetschnigTod F. StuessyByung‐Yun SunSyed Shujait AliYan YuPhilipp M. Schlüter
- Topics
- Plant Diversity and Evolution (21 papers)Plant and Fungal Species Descriptions (16 papers)Plant tissue culture and regeneration (10 papers)
- Journals
- The Plant CellAnnals of BotanyPlanta
- Partner nations
- AustriaSpainSouth Africa
In The Last Decade
Martin Pfosser
44 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 69
- Plant Science 881
- Molecular Biology 797
- Ecology, Evolution, Behavior and Systematics 681
- Genetics 175
- Cell Biology 76
Countries citing papers authored by Martin Pfosser
This map shows the geographic impact of Martin Pfosser'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 Martin Pfosser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Pfosser more than expected).
Fields of papers citing papers by Martin Pfosser
This network shows the impact of papers produced by Martin Pfosser. 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 Martin Pfosser. The network helps show where Martin Pfosser may publish in the future.
Co-authorship network of co-authors of Martin Pfosser
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pfosser. A scholar is included among the top collaborators of Martin Pfosser 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 Martin Pfosser. Martin Pfosser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 20 | |
| 7 | Massonia mimetica (Hyacinthaceae, Hyacinthoideae), a new remarkable species from South Africa | 9 |
| 8 | 102 | |
| 9 | 95 | |
| 10 | 154 | |
| 11 | 45 | |
| 12 | 30 | |
| 13 | 50 | |
| 14 | 24 | |
| 15 | 1 | |
| 16 | The involvement of the plastid genome in albino plant regeneration from microspores in wheat. | 9 |
| 17 | 67 | |
| 18 | Genetic variability for the frequency of doubled haploid green plants is correlated with the ratio of green to albino plants in wheat (Triticum aestivum L.) microspore-derived plants | 2 |
| 19 | 155 | |
| 20 | 95 |
About Martin Pfosser
Martin Pfosser is a scholar working on Ecology, Evolution, Behavior and Systematics, Horticulture and Plant Science, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant Diversity and Evolution (21 papers), Plant and Fungal Species Descriptions (16 papers) and Plant tissue culture and regeneration (10 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (681 citations), Plant Science (881 citations) and Molecular Biology (797 citations). Martin Pfosser has collaborated with scholars based in Austria, Spain and South Africa. Frequent co-authors include Erwin Heberle‐Bors, Franz Speta, Wolfgang Wetschnig, Tod F. Stuessy, Byung‐Yun Sun, Syed Shujait Ali, Yan Yu, Philipp M. Schlüter, Tomáš Fér and Óscar Vicente. Their work appears in journals such as The Plant Cell, Annals of Botany and Planta.
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.