Matthias Fladung
- Plant Science top 0.5%
- Plant Molecular Biology Research 29
- Genetically Modified Organisms Research 16
- Chromosomal and Genetic Variations 16
- Biotechnology top 1%
- Molecular Biology top 5%
- Plant tissue culture and regeneration 52
- Plant Reproductive Biology 36
- CRISPR and Genetic Engineering 17
- Horticulture top 5%
- Agronomy and Crop Science top 2%
- Bioenergy crop production and management 29
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- Genetic diversity and population structure 16
- Co-authors
- Sandeep KumarBirgit KerstenHans HoenickaHilke SchroederBirte PakullM. R. AhujaKlaus GroßmannThomas Schmülling
In The Last Decade
Matthias Fladung
160 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 90
- Plant Science 2.3k
- Biotechnology 340
- Molecular Biology 2.4k
- Horticulture 32
- Agronomy and Crop Science 327
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
The 25 scholars most cited alongside Matthias Fladung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 24 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 149 | |
| 11 | 2020 | 8 | |
| 12 | 2018 | 1 | |
| 13 | 2018 | 3 | |
| 14 | Neue Methoden der Pflanzenzüchtung: Biotechnologie 3.0 | 2016 | 1 |
| 15 | 2013 | 2 | |
| 16 | 2012 | 14 | |
| 17 | Smart-Breeding methods open new perspectives in forest tree breeding! | 2010 | 1 |
| 18 | Domestikation von Bäumen : bleibende Utopie oder bald Wirklichkeit? | 2008 | 3 |
| 19 | Forest tree transgenesis and functional genomics: From fast forward to reverse genetics | 2003 | 2 |
| 20 | Morphological Changes in Transgenic Populus Carrying the RolC Gene from Agrobacterium rhizogenes | 1996 | 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), Bioenergy crop production and management (29 papers), Plant Molecular Biology Research (29 papers), CRISPR and Genetic Engineering (17 papers), Genetically Modified Organisms Research (16 papers), Chromosomal and Genetic Variations (16 papers) and Genetic diversity and population structure (16 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.