Jan De Riek
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Genetic and Environmental Crop Studies
- Horticulture top 10%
Papers in
-
- Powdery Mildew Fungal Diseases 16
- Flowering Plant Growth and Cultivation 13
- Wheat and Barley Genetics and Pathology 8
-
- Plant tissue culture and regeneration 9
- Plant Reproductive Biology 9
- Co-authors
- Erik Van Bockstaele (35 shared papers)Ellen De Keyser (35 shared papers)Marc De Loose (12 shared papers)Johan Van Huylenbroeck (26 shared papers)E. Calsyn (7 shared papers)M.J.M. Smulders (8 shared papers)Veerle Fievez (5 shared papers)Gijs Van Ranst (5 shared papers)
In The Last Decade
Jan De Riek
102 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 98
- Plant Science 1.3k
- Horticulture 20
- Agronomy and Crop Science 211
- Ecology, Evolution, Behavior and Systematics 371
- Genetics 406
Countries citing papers authored by Jan De Riek
This map shows the geographic impact of Jan De Riek'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 Jan De Riek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan De Riek more than expected).
Fields of papers citing papers by Jan De Riek
This network shows the impact of papers produced by Jan De Riek. 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 Jan De Riek. The network helps show where Jan De Riek may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan De Riek, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 186 | |
| 2 | 2008 | 145 | |
| 3 | 2010 | 93 | |
| 4 | 2019 | 60 | |
| 5 | 2008 | 58 | |
| 6 | 2010 | 56 | |
| 7 | 1999 | 54 | |
| 8 | 2009 | 49 | |
| 9 | Most similar variety grouping for distinctness evaluation of flax and linseed (Linum usitatissimum L.) varieties by means of AFLP and morphological data. | 2001 | 45 |
| 10 | 2007 | 45 | |
| 11 | 2005 | 45 | |
| 12 | 2016 | 44 | |
| 13 | 2016 | 42 | |
| 14 | 2013 | 37 | |
| 15 | 2007 | 34 | |
| 16 | 2012 | 32 | |
| 17 | 2016 | 31 | |
| 18 | 2015 | 31 | |
| 19 | 2013 | 28 | |
| 20 | 2015 | 28 |
About Jan De Riek
Jan De Riek is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics and Cell Biology, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant and animal studies (18 papers), Powdery Mildew Fungal Diseases (16 papers), Flowering Plant Growth and Cultivation (13 papers), Plant tissue culture and regeneration (9 papers), Plant Reproductive Biology (9 papers), Wheat and Barley Genetics and Pathology (8 papers), Plant Pathogens and Fungal Diseases (8 papers) and Genetic diversity and population structure (8 papers). The work is most often cited by research in Plant Science (1.3k citations), Horticulture (20 citations), Agronomy and Crop Science (211 citations), Ecology, Evolution, Behavior and Systematics (371 citations) and Genetics (406 citations). Jan De Riek has collaborated with scholars based in Belgium, Italy and Morocco. Frequent co-authors include Erik Van Bockstaele, Ellen De Keyser, Marc De Loose, Johan Van Huylenbroeck, E. Calsyn, M.J.M. Smulders, Veerle Fievez, Gijs Van Ranst, B. Vosman and Leen Leus. Their work appears in journals such as Euphytica, PLoS ONE, Weed Research, Frontiers in Plant Science and Plant Cell Tissue and Organ Culture (PCTOC).
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.