Karin Felderer

918 citations
8 papers · 731 · h-index 6

Impact in

Papers in

    • Protein purification and stability 4
    • Glycosylation and Glycoproteins Research 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Ubiquitin and proteasome pathways 2
    • RNA and protein synthesis mechanisms 1
    • Monoclonal and Polyclonal Antibodies Research 3

Karin Felderer

7 papers receiving 704 citations

Peers

Karin Felderer
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 215
  • Cancer Research 111
  • Molecular Biology 457
  • Immunology 89
  • Structural Biology 6
Replace Daniel R. Hostetter with:
Daniel R. Hostetter United States
Dominique Desplancq France
Dawn R. Christianson United States
Cynthia Bamdad United States
Zhongqiu Xie China
P. Calias United States
Derek Jellinek Australia
Nikita Oskolkov Sweden
Е. Н. Лебеденко Russia
Vincent W. Coljee United States
Karin Felderer relative to Daniel R. Hostetter United States Daniel R. Hostetter's profile →
Citations per field
00.5×4.8×
Daniel R. Hostetter · 1×
Citations per year

Countries citing papers authored by Karin Felderer

Since Specialization
Citations

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

Fields of papers citing papers by Karin Felderer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2009209
2 2004182
3 2013161
4 201483
5 200663
6 200630
7 20233
8 20240

About Karin Felderer

Karin Felderer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Cell Biology and Immunology, having authored 8 papers that have together received 731 indexed citations. Recurring topics across this work include Protein purification and stability (4 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Ubiquitin and proteasome pathways (2 papers), Peptidase Inhibition and Analysis (2 papers), RNA and protein synthesis mechanisms (1 paper) and Integrated Circuits and Semiconductor Failure Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (215 citations), Cancer Research (111 citations), Molecular Biology (457 citations), Immunology (89 citations) and Structural Biology (6 citations). Karin Felderer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Susanne Witt, Heinrich G. Frey, R. Guckenberger, Enbo Ma, Eva Nogales, David W. Taylor, Cameron L. Noland, Hongwei Wang, Jennifer A. Doudna and Bunpote Siridechadilok. Their work appears in journals such as mAbs, Physical Review Letters, Journal of Computer-Aided Molecular Design, Journal of Biotechnology and Nature Structural & 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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