Karin Felderer

913 total citations
8 papers, 685 citations indexed

About

Karin Felderer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Karin Felderer has authored 8 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Karin Felderer's work include Protein purification and stability (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Karin Felderer is often cited by papers focused on Protein purification and stability (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Karin Felderer collaborates with scholars based in Germany, United Kingdom and United States. Karin Felderer's co-authors include Susanne Witt, R. Guckenberger, Heinrich G. Frey, David W. Taylor, Jennifer A. Doudna, Enbo Ma, Bunpote Siridechadilok, Eva Nogales, Hongwei Wang and Cameron L. Noland and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and Nature Structural & Molecular Biology.

In The Last Decade

Karin Felderer

7 papers receiving 665 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karin Felderer Germany 6 454 210 169 100 91 8 685
Christopher J. Tynan United Kingdom 13 428 0.9× 139 0.7× 120 0.7× 35 0.3× 50 0.5× 23 805
Kwang Ho Cheong South Korea 10 465 1.0× 63 0.3× 221 1.3× 55 0.6× 53 0.6× 13 870
Derek Jellinek Australia 9 1.2k 2.6× 102 0.5× 272 1.6× 72 0.7× 79 0.9× 11 1.4k
Daniel R. Hostetter United States 13 462 1.0× 47 0.2× 143 0.8× 97 1.0× 113 1.2× 20 885
Zhifeng Shao United States 13 326 0.7× 116 0.6× 114 0.7× 22 0.2× 120 1.3× 43 771
P. Calias Switzerland 4 1.0k 2.3× 176 0.8× 194 1.1× 64 0.6× 61 0.7× 6 1.2k
Sumit Goswami United States 11 382 0.8× 258 1.2× 92 0.5× 38 0.4× 68 0.7× 32 571
Eugene W. M. Ng United States 10 1.2k 2.7× 344 1.6× 210 1.2× 92 0.9× 76 0.8× 14 1.7k
Sebastian Malkusch Germany 17 519 1.1× 91 0.4× 164 1.0× 31 0.3× 131 1.4× 35 1.2k
Stephanie Tangsombatvisit United States 7 278 0.6× 82 0.4× 156 0.9× 14 0.1× 272 3.0× 7 585

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-authorship network of co-authors of Karin Felderer

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Felderer. A scholar is included among the top collaborators of Karin Felderer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karin Felderer. Karin Felderer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Felderer, Karin, et al.. (2024). Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors. Journal of Computer-Aided Molecular Design. 38(1). 30–30.
2.
Wachter, Stefanie, David Brown, Leslie S. Wolfe, et al.. (2023). Application of platform process development approaches to the manufacturing of Mabcalin™ bispecifics. Journal of Biotechnology. 377. 13–22. 3 indexed citations
3.
Jaehrling, Jan, Sebastian Jäger, Karin Felderer, et al.. (2014). Characterization and screening of IgG binding to the neonatal Fc receptor. mAbs. 6(4). 928–942. 78 indexed citations
4.
Tiller, Thomas, Ingrid Schuster, Katja Siegers, et al.. (2013). A fully synthetic human Fab antibody library based on fixed VH/VL framework pairings with favorable biophysical properties. mAbs. 5(3). 445–470. 153 indexed citations
5.
Wang, Hongwei, Cameron L. Noland, Bunpote Siridechadilok, et al.. (2009). Structural insights into RNA processing by the human RISC-loading complex. Nature Structural & Molecular Biology. 16(11). 1148–1153. 190 indexed citations
6.
Witt, Susanne, Young Do Kwon, Michal Sharon, et al.. (2006). Proteasome Assembly Triggers a Switch Required for Active-Site Maturation. Structure. 14(7). 1179–1188. 29 indexed citations
7.
Sharon, Michal, Susanne Witt, Karin Felderer, et al.. (2006). 20S Proteasomes Have the Potential to Keep Substrates in Store for Continual Degradation. Journal of Biological Chemistry. 281(14). 9569–9575. 62 indexed citations
8.
Frey, Heinrich G., Susanne Witt, Karin Felderer, & R. Guckenberger. (2004). High-Resolution Imaging of Single Fluorescent Molecules with the Optical Near-Field of a Metal Tip. Physical Review Letters. 93(20). 200801–200801. 170 indexed citations

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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