Erwin Datema

8.5k citations
11 papers · 593 indexed · h-index 10

Impact in

    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics
    • Plant-Microbe Interactions and Immunity
    • Plant Pathogens and Resistance

Papers in

Erwin Datema

11 papers receiving 588 citations

Peers

Erwin Datema
Comparison fields: 5 of 60
  • Plant Science 335
  • Horticulture 5
  • Molecular Biology 350
  • Cell Biology 65
  • Food Science 65
Replace Stefano Gattolin with:
Stefano Gattolin Italy
Joon‐Seob Eom South Korea
Tongxin Dou China
Xiaoyu Guo China
Darío Abel Palmieri Brazil
Mitali Banik Canada
Raymond W.M. Fung United States
Pulla Kaothien-Nakayama Japan
Caroline Smith United Kingdom
Zuopeng Xu China
Erwin Datema relative to Stefano Gattolin Italy Stefano Gattolin's profile →
Citations per field
00.5×1.5×2.5×
Stefano Gattolin · 1×
Citations per year

Countries citing papers authored by Erwin Datema

Since Specialization
Citations

This map shows the geographic impact of Erwin Datema'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 Erwin Datema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erwin Datema more than expected).

Fields of papers citing papers by Erwin Datema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erwin Datema. 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 Erwin Datema. The network helps show where Erwin Datema may publish in the future.

Co-authors

The 25 scholars most cited alongside Erwin Datema, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Erwin Datema Line = papers co-authored together Erwin Datema links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2012218
2 2015126
3 200863
4 200862
5 200827
6 200924
7 201522
8 201620
9 201412
10 201510
11 20089

About Erwin Datema

Erwin Datema is a scholar working on Plant Science, Information Systems and Management, Molecular Biology, Genetics and Cell Biology, having authored 11 papers that have together received 593 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), Plant Disease Resistance and Genetics (5 papers), Genomics and Phylogenetic Studies (3 papers), Plant Virus Research Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Plant Pathogens and Resistance (2 papers), Genetic diversity and population structure (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Plant Science (335 citations), Horticulture (5 citations), Molecular Biology (350 citations), Cell Biology (65 citations) and Food Science (65 citations). Erwin Datema has collaborated with scholars based in Netherlands, United States and South Korea. Frequent co-authors include Grardy C. M. van den Berg, Alexander Wittenberg, Luigi Faino, Antoine Janssen, Michael Seidl, Bart P. H. J. Thomma, Hans de Jong, Dóra Szinay, Jens Nielsen and Jean‐Marc Daran. Their work appears in journals such as Molecular Genetics and Genomics, Chromosome Research, BMC Genomics, Microbial Cell Factories and mBio.

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.

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