Cony Decock
Impact in
- Cell Biology top 0.1%
- Plant Pathogens and Fungal Diseases
- Insect Science top 0.2%
- Forest Ecology and Biodiversity Studies
Papers in
- Cell Biology 139
- Plant Pathogens and Fungal Diseases 139
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- Forest Ecology and Biodiversity Studies 78
- Co-authors
- Mario Amalfi (21 shared papers)Leif Ryvarden (18 shared papers)Marc Stadler (23 shared papers)Gabriel Natalio Castillo (12 shared papers)Bao‐Kai Cui (6 shared papers)Yu-Cheng Dai (5 shared papers)Pedro Willem Crous (7 shared papers)Gerardo Robledo (8 shared papers)
In The Last Decade
Cony Decock
195 papers receiving 5.4k citations
Cony Decock's Hit Papers
Peers
Comparison fields: 5 of 88
- Cell Biology 3.4k
- Insect Science 1.4k
- Pharmacology 718
- Molecular Biology 2.1k
- Plant Science 1.3k
Countries citing papers authored by Cony Decock
This map shows the geographic impact of Cony Decock'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 Cony Decock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cony Decock more than expected).
Fields of papers citing papers by Cony Decock
This network shows the impact of papers produced by Cony Decock. 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 Cony Decock. The network helps show where Cony Decock may publish in the future.
Co-authors
The 25 scholars most cited alongside Cony Decock, 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 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Notes, outline and divergence times of Basidiomycota Hit paper breakdown → | 2019 | 377 |
| 2 | Fusarium: more than a node or a foot-shaped basal cell Hit paper breakdown → | 2021 | 291 |
| 3 | 2015 | 233 | |
| 4 | 2017 | 226 | |
| 5 | 2012 | 198 | |
| 6 | 2017 | 176 | |
| 7 | 2014 | 173 | |
| 8 | 2016 | 160 | |
| 9 | 2015 | 130 | |
| 10 | 2021 | 121 | |
| 11 | 2020 | 114 | |
| 12 | 2020 | 101 | |
| 13 | 2007 | 99 | |
| 14 | 2014 | 97 | |
| 15 | 2010 | 83 | |
| 16 | 2015 | 80 | |
| 17 | 2021 | 79 | |
| 18 | 2013 | 71 | |
| 19 | 2007 | 68 | |
| 20 | 2012 | 59 |
About Cony Decock
Cony Decock is a scholar working on Cell Biology, Insect Science, Molecular Biology, Pharmacology and Plant Science, having authored 199 papers that have together received 5.6k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (139 papers), Plant and Fungal Species Descriptions (90 papers), Forest Ecology and Biodiversity Studies (78 papers), Microbial Natural Products and Biosynthesis (17 papers), Mycorrhizal Fungi and Plant Interactions (17 papers), Yeasts and Rust Fungi Studies (14 papers), Fungal Biology and Applications (8 papers) and Genetic diversity and population structure (6 papers). The work is most often cited by research in Cell Biology (3.4k citations), Insect Science (1.4k citations), Pharmacology (718 citations), Molecular Biology (2.1k citations) and Plant Science (1.3k citations). Cony Decock has collaborated with scholars based in Belgium, China and Germany. Frequent co-authors include Mario Amalfi, Leif Ryvarden, Marc Stadler, Gabriel Natalio Castillo, Bao‐Kai Cui, Yu-Cheng Dai, Pedro Willem Crous, Gerardo Robledo, Quan Lü and Håvard Kauserud. Their work appears in journals such as Mycologia, Cryptogamie Mycologie, Mycological Progress, Persoonia - Molecular Phylogeny and Evolution of Fungi and MycoKeys.
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.