Eva L. Decker

6.4k citations
106 papers · 4.0k · h-index 40

Impact in

Papers in

    • Plant tissue culture and regeneration 20
    • Photosynthetic Processes and Mechanisms 14
    • CRISPR and Genetic Engineering 9
    • Plant Reproductive Biology 7
    • Plant Molecular Biology Research 19

Eva L. Decker

103 papers receiving 3.9k citations

Peers

Eva L. Decker
Comparison fields: 5 of 128
  • Biotechnology 809
  • Plant Science 1.6k
  • Molecular Biology 2.5k
  • Ecology, Evolution, Behavior and Systematics 600
  • Immunology 513
Replace Teh‐hui Kao with:
Teh‐hui Kao United States
Boon Leong Lim Hong Kong
Yuzuru Tozawa Japan
Betty Huang United States
Hatisaburo Masuda Brazil
N. S. Huskisson United Kingdom
Giuseppe Macino Italy
M Fujiwara Japan
Massimo Romani Italy
Peter Baumann United States
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Citations per field
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Teh‐hui Kao · 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-authors

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

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004158
2 1995138
3 2014123
4 2003123
5 2008120
6 2012120
7 2009119
8 2016115
9 2008113
10 2005105
11 2017104
12 2006101
13 201490
14 200486
15 200083
16 199876
17 201073
18 200373
19 201571
20 200469

About Eva L. Decker

Eva L. Decker is a scholar working on Molecular Biology, Plant Science, Biotechnology, Immunology and Genetics, having authored 106 papers that have together received 4.0k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (31 papers), Plant tissue culture and regeneration (20 papers), Plant Molecular Biology Research (19 papers), Photosynthetic Processes and Mechanisms (14 papers), Toxin Mechanisms and Immunotoxins (11 papers), CRISPR and Genetic Engineering (9 papers), Bryophyte Studies and Records (7 papers) and Plant Reproductive Biology (7 papers). The work is most often cited by research in Biotechnology (809 citations), Plant Science (1.6k citations), Molecular Biology (2.5k citations), Ecology, Evolution, Behavior and Systematics (600 citations) and Immunology (513 citations). Eva L. Decker has collaborated with scholars based in Germany, United States and Austria. 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, PLoS ONE, Plant Biotechnology Journal and Frontiers in Plant Science.

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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