László Sági
Impact in
- Plant Science top 2%
- Banana Cultivation and Research
- Chromosomal and Genetic Variations
- Plant Genetic and Mutation Studies
- Plant-Microbe Interactions and Immunity
- Biotechnology top 2%
- Transgenic Plants and Applications
Papers in
-
- Banana Cultivation and Research 39
- Chromosomal and Genetic Variations 13
- Wheat and Barley Genetics and Pathology 12
- Plant Virus Research Studies 8
- Genetically Modified Organisms Research 7
-
- Plant tissue culture and regeneration 51
- CRISPR and Genetic Engineering 8
- Co-authors
- Rony Swennen (53 shared papers)Serge Remy (26 shared papers)Bart Panis (16 shared papers)Bruno P.A. Cammue (8 shared papers)G. Volckaerţ (3 shared papers)H. Schoofs (4 shared papers)Michel Jacobs (1 shared paper)Steven Van Campenhout (2 shared papers)
In The Last Decade
László Sági
99 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Plant Science 1.3k
- Biotechnology 260
- Horticulture 24
- Molecular Biology 1.1k
- Agronomy and Crop Science 45
Countries citing papers authored by László Sági
This map shows the geographic impact of László Sági'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 László Sági with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Sági more than expected).
Fields of papers citing papers by László Sági
This network shows the impact of papers produced by László Sági. 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 László Sági. The network helps show where László Sági may publish in the future.
Co-authors
The 25 scholars most cited alongside László Sági, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 152 | |
| 2 | 2012 | 94 | |
| 3 | 2000 | 90 | |
| 4 | 2003 | 90 | |
| 5 | 1994 | 69 | |
| 6 | 1995 | 63 | |
| 7 | 2010 | 57 | |
| 8 | 2001 | 56 | |
| 9 | 1999 | 55 | |
| 10 | 2007 | 43 | |
| 11 | 1998 | 38 | |
| 12 | 1989 | 36 | |
| 13 | 1999 | 36 | |
| 14 | 2005 | 36 | |
| 15 | 2002 | 35 | |
| 16 | 2015 | 33 | |
| 17 | 2015 | 32 | |
| 18 | 2004 | 30 | |
| 19 | 2009 | 27 | |
| 20 | 2006 | 26 |
About László Sági
László Sági is a scholar working on Plant Science, Molecular Biology, Biotechnology, Genetics and Agronomy and Crop Science, having authored 108 papers that have together received 1.7k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (51 papers), Banana Cultivation and Research (39 papers), Transgenic Plants and Applications (15 papers), Chromosomal and Genetic Variations (13 papers), Wheat and Barley Genetics and Pathology (12 papers), Plant Virus Research Studies (8 papers), CRISPR and Genetic Engineering (8 papers) and Genetically Modified Organisms Research (7 papers). The work is most often cited by research in Plant Science (1.3k citations), Biotechnology (260 citations), Horticulture (24 citations), Molecular Biology (1.1k citations) and Agronomy and Crop Science (45 citations). László Sági has collaborated with scholars based in Belgium, Hungary and Germany. Frequent co-authors include Rony Swennen, Serge Remy, Bart Panis, Bruno P.A. Cammue, G. Volckaerţ, H. Schoofs, Michel Jacobs, Steven Van Campenhout, Kris De Smet and Б. Барнабас. Their work appears in journals such as Theoretical and Applied Genetics, Frontiers in Plant Science, Nature Biotechnology, Acta Agronomica Hungarica and Plant Cell Reports.
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.