Christoph Feinauer

613 total citations
13 papers, 336 citations indexed

About

Christoph Feinauer is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Christoph Feinauer has authored 13 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Christoph Feinauer's work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Machine Learning in Bioinformatics (2 papers). Christoph Feinauer is often cited by papers focused on Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Machine Learning in Bioinformatics (2 papers). Christoph Feinauer collaborates with scholars based in Italy, France and United States. Christoph Feinauer's co-authors include Andrea Pagnani, Martin Weigt, Riccardo Zecchina, Carlo Baldassi, Marcin J. Skwark, Erik Aurell, Andrea Procaccini, Marco Zamparo, Hendrik Szurmant and Dominique Schneider and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Christoph Feinauer

13 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Feinauer Italy 8 261 79 31 29 17 13 336
Matteo Figliuzzi Italy 11 581 2.2× 140 1.8× 29 0.9× 24 0.8× 23 1.4× 21 649
Allan Haldane United States 11 239 0.9× 137 1.7× 29 0.9× 16 0.6× 28 1.6× 21 352
Cecilia Lövkvist Denmark 9 695 2.7× 135 1.7× 76 2.5× 29 1.0× 27 1.6× 13 796
Jean‐Baptiste Lugagne United States 11 403 1.5× 84 1.1× 9 0.3× 28 1.0× 8 0.5× 15 599
Guido Uguzzoni France 9 184 0.7× 42 0.5× 22 0.7× 29 1.0× 15 0.9× 15 234
Andrew E. Blanchard United States 14 307 1.2× 124 1.6× 58 1.9× 41 1.4× 66 3.9× 20 483
Pierre Barrat-Charlaix Switzerland 8 277 1.1× 77 1.0× 17 0.5× 21 0.7× 16 0.9× 11 338
Kang Yang China 13 445 1.7× 62 0.8× 26 0.8× 40 1.4× 11 0.6× 35 602
Magnus Ekeberg Sweden 4 560 2.1× 114 1.4× 106 3.4× 58 2.0× 43 2.5× 4 682
Christopher Churas United States 9 269 1.0× 51 0.6× 23 0.7× 21 0.7× 35 2.1× 13 449

Countries citing papers authored by Christoph Feinauer

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Feinauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Feinauer

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Feinauer. A scholar is included among the top collaborators of Christoph Feinauer 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 Christoph Feinauer. Christoph Feinauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Feinauer, Christoph, et al.. (2024). TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes. Proceedings of the National Academy of Sciences. 121(24). e2316401121–e2316401121. 20 indexed citations
2.
Weigt, Martin, et al.. (2023). Generating interacting protein sequences using domain-to-domain translation. Bioinformatics. 39(7). 3 indexed citations
3.
Ferraro, Antonio, et al.. (2022). Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. arXiv (Cornell University). 5 indexed citations
4.
Feinauer, Christoph, et al.. (2022). Interpretable pairwise distillations for generative protein sequence models. PLoS Computational Biology. 18(6). e1010219–e1010219. 2 indexed citations
5.
Lucibello, Carlo, et al.. (2021). Entropic gradient descent algorithms and wide flat minima. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 15 indexed citations
6.
Feinauer, Christoph & Carlo Lucibello. (2021). Reconstruction of pairwise interactions using energy-based models*. Journal of Statistical Mechanics Theory and Experiment. 2021(12). 124007–124007. 1 indexed citations
7.
Schwarz, Dániel, Mihály Köllő, Carles Bosch, et al.. (2018). Architecture of a mammalian glomerular domain revealed by novel volume electroporation using nanoengineered microelectrodes. Nature Communications. 9(1). 183–183. 20 indexed citations
8.
Couce, Alejandro, Christoph Feinauer, Thomas Hindré, et al.. (2017). Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria. Proceedings of the National Academy of Sciences. 114(43). E9026–E9035. 63 indexed citations
9.
Feinauer, Christoph, Hendrik Szurmant, Martin Weigt, & Andrea Pagnani. (2016). Inter-Protein Sequence Co-Evolution Predicts Known Physical Interactions in Bacterial Ribosomes and the Trp Operon. PLoS ONE. 11(2). e0149166–e0149166. 34 indexed citations
10.
Feinauer, Christoph, Marcin J. Skwark, Andrea Pagnani, & Erik Aurell. (2014). Improving Contact Prediction along Three Dimensions. PLoS Computational Biology. 10(10). e1003847–e1003847. 67 indexed citations
11.
Baldassi, Carlo, Marco Zamparo, Christoph Feinauer, et al.. (2014). Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners. PLoS ONE. 9(3). e92721–e92721. 95 indexed citations
12.
Baldassi, Carlo, Andrea Pagnani, Martin Weigt, et al.. (2014). GaussDCA.jl - First release. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Feinauer, Christoph, et al.. (2013). Zinc Finger Proteins and the 3D Organization of Chromosomes. Advances in protein chemistry and structural biology. 90. 67–117. 10 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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