Eva Wegel

1.6k citations
21 papers · 1.1k · h-index 15

Impact in

Papers in

    • Plant tissue culture and regeneration 8
    • Plant Reproductive Biology 4
    • Genomics and Chromatin Dynamics 3
    • Photosynthetic Processes and Mechanisms 3
    • Plant biochemistry and biosynthesis 3
    • Chromosomal and Genetic Variations 7
    • Wheat and Barley Genetics and Pathology 2

Eva Wegel

20 papers receiving 1.1k citations

Peers

Eva Wegel
Comparison fields: 5 of 91
  • Structural Biology 46
  • Biophysics 102
  • Plant Science 588
  • Biotechnology 127
  • Molecular Biology 759
Replace Verena Kriechbaumer with:
Verena Kriechbaumer United Kingdom
Yohann Boutté France
Norio Takeshita Japan
Jessica Marion France
Andrea Bleckmann Germany
Niklas Wallmeroth Germany
Rebecca A. Ayers United States
Jeffrey H. Kim United States
Anne Kearns United Kingdom
Katia Schütze Germany
Eva Wegel relative to Verena Kriechbaumer United Kingdom Verena Kriechbaumer's profile →
Citations per field
00.5×3.3×
Verena Kriechbaumer · 1×
Citations per year

Countries citing papers authored by Eva Wegel

Since Specialization
Citations

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

Fields of papers citing papers by Eva Wegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003202
2 2009148
3 2016132
4 2011120
5 199885
6 202078
7 200961
8 200059
9 201151
10 201541
11 202134
12 200533
13 200517
14 200517
15 199517
16 200012
17 201911
18 200510
19 20066
20 20241

About Eva Wegel

Eva Wegel is a scholar working on Molecular Biology, Plant Science, Biophysics, Structural Biology and Cell Biology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (8 papers), Chromosomal and Genetic Variations (7 papers), Plant Reproductive Biology (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Genomics and Chromatin Dynamics (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Plant biochemistry and biosynthesis (3 papers) and Wheat and Barley Genetics and Pathology (2 papers). The work is most often cited by research in Structural Biology (46 citations), Biophysics (102 citations), Plant Science (588 citations), Biotechnology (127 citations) and Molecular Biology (759 citations). Eva Wegel has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Anne Osbourn, Peter Shaw, Eva Stöger, Paul Christou, Rita Abranches, Ajay Kohli, Richard M. Twyman, Ian M. Dobbie, B. Christoffer Lagerholm and Stephan Uphoff. Their work appears in journals such as The Plant Cell, The Plant Journal, iScience, Scientific Reports and Molecular Plant-Microbe Interactions.

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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