Editha Bayer

483 citations
10 papers · 393 · h-index 9

Impact in

  • Biophysics top 10%
    • Electromagnetic Fields and Biological Effects
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • Cell death mechanisms and regulation 2
    • Ubiquitin and proteasome pathways 2
    • Machine Learning in Bioinformatics 1
    • Advanced Proteomics Techniques and Applications 4
    • Mass Spectrometry Techniques and Applications 2

Editha Bayer

10 papers receiving 381 citations

Peers

Editha Bayer
Comparison fields: 5 of 77
  • Biophysics 47
  • Spectroscopy 93
  • Molecular Biology 262
  • Immunology 59
  • Cancer Research 41
Replace Nina C. Gundacker with:
Nina C. Gundacker Austria
Susana Comte‐Walters United States
Sebastian Krossa Norway
Jungyuen Choi United States
Lisa J. Neilson United Kingdom
Hannah Sunshine United States
Claire E. Martin Canada
Karin Mattern Netherlands
Patrick Beaudette Germany
Kerstin Hölzer Germany
Editha Bayer relative to Nina C. Gundacker Austria Nina C. Gundacker's profile →
Citations per field
00.5×1.7×
Nina C. Gundacker · 1×
Citations per year

Countries citing papers authored by Editha Bayer

Since Specialization
Citations

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

Fields of papers citing papers by Editha Bayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2000142
2 200271
3 201045
4 200233
5 201830
6 200920
7 200619
8 200418
9 200811
10 20144

About Editha Bayer

Editha Bayer is a scholar working on Molecular Biology, Spectroscopy, Immunology, Oncology and Cell Biology, having authored 10 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Cell death mechanisms and regulation (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (1 paper), Machine Learning in Bioinformatics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Biophysics (47 citations), Spectroscopy (93 citations), Molecular Biology (262 citations), Immunology (59 citations) and Cancer Research (41 citations). Editha Bayer has collaborated with scholars based in Austria, Slovakia and Germany. Frequent co-authors include Christopher Gerner, Rolf Schulte‐Hermann, Dieter Gelbmann, Josef Gotzmann, Wilfried Bursch, Susanne Vejda, Nina C. Gundacker, Wolfgang Mikulits, Johannes Stöckl and Wilhelm Mosgoeller. Their work appears in journals such as Electrophoresis, Molecular & Cellular Proteomics, Molecular Oncology, International Archives of Occupational and Environmental Health and Journal of Proteome Research.

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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