Eva Wegel

1.6k citations
22 papers · 1.2k · h-index 15

Impact in

Papers in

    • Plant tissue culture and regeneration 9
    • Plant Reproductive Biology 4
    • Photosynthetic Processes and Mechanisms 3
    • Plant biochemistry and biosynthesis 3
    • Genomics and Chromatin Dynamics 3
    • Chromosomal and Genetic Variations 7

Eva Wegel

20 papers receiving 1.2k citations

Peers

Eva Wegel
Comparison fields: 5 of 88
  • Structural Biology 50
  • Biophysics 110
  • Plant Science 642
  • Biotechnology 144
  • Molecular Biology 797
Replace Verena Kriechbaumer with:
Verena Kriechbaumer United Kingdom
Yohann Boutté France
Jessica Marion France
Norio Takeshita Japan
Andrea Bleckmann Germany
Niklas Wallmeroth Germany
Thomas Merkle Germany
Ian Moore United Kingdom
Marta Rodríguez‐Franco Germany
Anne Kearns United Kingdom
Eva Wegel relative to Verena Kriechbaumer United Kingdom Verena Kriechbaumer's profile →
Citations per field
00.5×4.2×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003226
2 2009154
3 2016142
4 2011129
5 1998109
6 202084
7 200065
8 200963
9 201151
10 201542
11 202136
12 200535
13 199521
14 200519
15 200518
16 200012
17 201912
18 200510
19 20069
20 20241

About Eva Wegel

Eva Wegel is a scholar working on Molecular Biology, Plant Science, Biophysics, Structural Biology and Biotechnology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (9 papers), Chromosomal and Genetic Variations (7 papers), Plant Reproductive Biology (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Plant biochemistry and biosynthesis (3 papers), Genomics and Chromatin Dynamics (3 papers) and Advanced Electron Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Structural Biology (50 citations), Biophysics (110 citations), Plant Science (642 citations), Biotechnology (144 citations) and Molecular Biology (797 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, Jens Stougaard and Martin Parniske. Their work appears in journals such as The Plant Cell, The Plant Journal, Plant Methods, Cytogenetic and Genome Research and Plant Molecular Biology.

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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