Matthias Fladung
- Molecular Biology top 5%
- Plant Science top 0.5%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Biotechnology top 1%
- Co-authors
- Sandeep KumarBirgit KerstenHans HoenickaHilke SchroederBirte PakullM. R. AhujaKlaus GroßmannThomas Schmülling
- Topics
- Plant tissue culture and regeneration (52 papers)Plant Reproductive Biology (36 papers)Bioenergy crop production and management (29 papers)
In The Last Decade
Matthias Fladung
160 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 2.4k
- Plant Science 2.3k
- Genetics 558
- Ecology, Evolution, Behavior and Systematics 348
- Biotechnology 340
Countries citing papers authored by Matthias Fladung
This map shows the geographic impact of Matthias Fladung'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 Matthias Fladung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Fladung more than expected).
Fields of papers citing papers by Matthias Fladung
This network shows the impact of papers produced by Matthias Fladung. 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 Matthias Fladung. The network helps show where Matthias Fladung may publish in the future.
Co-authorship network of co-authors of Matthias Fladung
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Fladung. A scholar is included among the top collaborators of Matthias Fladung 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 Matthias Fladung. Matthias Fladung 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 | 0 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 26 | |
| 10 | 149 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | Neue Methoden der Pflanzenzüchtung: Biotechnologie 3.0 | 1 |
| 15 | 2 | |
| 16 | 14 | |
| 17 | Smart-Breeding methods open new perspectives in forest tree breeding! | 1 |
| 18 | Domestikation von Bäumen : bleibende Utopie oder bald Wirklichkeit? | 3 |
| 19 | Forest tree transgenesis and functional genomics: From fast forward to reverse genetics | 2 |
| 20 | Morphological Changes in Transgenic Populus Carrying the RolC Gene from Agrobacterium rhizogenes | 26 |
About Matthias Fladung
Matthias Fladung is a scholar working on Agronomy and Crop Science, Plant Science and Molecular Biology, having authored 166 papers that have together received 3.4k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (52 papers), Plant Reproductive Biology (36 papers) and Bioenergy crop production and management (29 papers). The work is most often cited by research in Plant Science (2.3k citations), Biotechnology (340 citations) and Molecular Biology (2.4k citations). Matthias Fladung has collaborated with scholars based in Germany, Italy and India. Frequent co-authors include Sandeep Kumar, Birgit Kersten, Hans Hoenicka, Hilke Schroeder, Birte Pakull, M. R. Ahuja, Klaus Großmann, Thomas Schmülling, Jeff Schell and Klaus Düring. Their work appears in journals such as Nature, Nature Communications and Nature Biotechnology.
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.