Eva L. Decker

6.3k citations
105 papers · 3.9k indexed · h-index 39

Impact in

Papers in

    • Transgenic Plants and Applications 32
    • Plant tissue culture and regeneration 22
    • Photosynthetic Processes and Mechanisms 14
    • CRISPR and Genetic Engineering 10
    • Plant Reproductive Biology 8

Eva L. Decker

103 papers receiving 3.9k citations

Peers

Eva L. Decker
Comparison fields: 5 of 130
  • Biotechnology 821
  • Plant Science 1.6k
  • Molecular Biology 2.6k
  • Ecology, Evolution, Behavior and Systematics 594
  • Immunology 529
Replace Kathleen H. Cox with:
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Karen Chapman United States
Mark R. Schmitt United States
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Hatisaburo Masuda Brazil
Lea Harrington Canada
Renae L. Malek United States
Betty Huang United States
Giuseppe Macino Italy
Eva L. Decker relative to Kathleen H. Cox United States Kathleen H. Cox's profile →
Citations per field
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Kathleen H. Cox · 1×
Citations per year

Countries citing papers authored by Eva L. Decker

Since Specialization
Citations

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

Fields of papers citing papers by Eva L. Decker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva L. Decker. 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 Eva L. Decker. The network helps show where Eva L. Decker may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Eva L. Decker, 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 Eva L. Decker Line = papers co-authored together Eva L. Decker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 20246
5 20243
6 20235
7 202213
8 202112
9 202031
10 201834
11 201488
12 201428
13 201453
14
[Primary failure of eruption (PFE). Clinical and molecular genetics analysis] Article in French
20132
15 201317
16 201259
17 201140
18 200565
19 2004159
20 200334

About Eva L. Decker

Eva L. Decker is a scholar working on Biotechnology, Molecular Biology, Plant Science, Immunology and Anatomy, having authored 105 papers that have together received 3.9k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (32 papers), Plant tissue culture and regeneration (22 papers), Plant Molecular Biology Research (19 papers), Photosynthetic Processes and Mechanisms (14 papers), Toxin Mechanisms and Immunotoxins (11 papers), CRISPR and Genetic Engineering (10 papers), Plant Reproductive Biology (8 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). The work is most often cited by research in Biotechnology (821 citations), Plant Science (1.6k citations), Molecular Biology (2.6k citations), Ecology, Evolution, Behavior and Systematics (594 citations) and Immunology (529 citations). Eva L. Decker has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Ralf Reski, Peter F. Zipfel, Christine Skerka, Juliana Parsons, Wolfgang Frank, Gilbert Gorr, Stefan A. Rensing, Friedrich Altmann, Christian Stemmer and Eric Sarnighausen. Their work appears in journals such as Plant Cell Reports, New Phytologist, Frontiers in Plant Science, Plant Biology and Plant Biotechnology Journal.

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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