Tim Diels
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Plant-Microbe Interactions and Immunity
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- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
- Genomics and Phylogenetic Studies
- Plant biochemistry and biosynthesis
Papers in ⓘ
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- Bioinformatics and Genomic Networks 3
- Photosynthetic Processes and Mechanisms 2
- Genomics and Phylogenetic Studies 2
- Microbial Metabolic Engineering and Bioproduction 1
- Machine Learning in Bioinformatics 1
- Plant Gene Expression Analysis 1
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- Plant Pathogens and Fungal Diseases 1
- Co-authors
- Yves Van de Peer (3 shared papers)Klaas Vandepoele (3 shared papers)Frederik Coppens (1 shared paper)Emmelien Vancaester (1 shared paper)Alexander Botzki (1 shared paper)Michiel Van Bel (1 shared paper)Łukasz Kreft (1 shared paper)Oren Tzfadia (3 shared papers)
- Journals
- Frontiers in Plant Science (2 papers)Physiologia Plantarum (1 paper)PLANT PHYSIOLOGY (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- BelgiumSouth AfricaIsrael
In The Last Decade
Tim Diels
5 papers receiving 433 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Plant Science 295
- Molecular Biology 290
- Horticulture 4
- Genetics 50
- Biochemistry 9
Countries citing papers authored by Tim Diels
This map shows the geographic impact of Tim Diels'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 Tim Diels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Diels more than expected).
Fields of papers citing papers by Tim Diels
This network shows the impact of papers produced by Tim Diels. 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 Tim Diels. The network helps show where Tim Diels may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Diels, 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 | PLAZA 4.0: an integrative resource for functional, evolutionary and comparative plant genomics Hit paper breakdown → | 2017 | 324 |
| 2 | 2016 | 91 | |
| 3 | 2022 | 13 | |
| 4 | 2018 | 7 | |
| 5 | 2015 | 1 |
About Tim Diels
Tim Diels is a scholar working on Molecular Biology, Cell Biology, Genetics, Plant Science and Infectious Diseases, having authored 5 papers that have together received 436 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant Molecular Biology Research (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Machine Learning in Bioinformatics (1 paper) and Plant Gene Expression Analysis (1 paper). The work is most often cited by research in Plant Science (295 citations), Molecular Biology (290 citations), Horticulture (4 citations), Genetics (50 citations) and Biochemistry (9 citations). Tim Diels has collaborated with scholars based in Belgium, South Africa and Israel. Frequent co-authors include Yves Van de Peer, Klaas Vandepoele, Frederik Coppens, Emmelien Vancaester, Alexander Botzki, Michiel Van Bel, Łukasz Kreft, Oren Tzfadia, Asaph Aharoni and Dirk Inzé. Their work appears in journals such as Frontiers in Plant Science, Physiologia Plantarum, PLANT PHYSIOLOGY and Nucleic Acids Research.
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.