Christoph Rösli

839 total citations
10 papers, 487 citations indexed

About

Christoph Rösli is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Christoph Rösli has authored 10 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Organic Chemistry. Recurrent topics in Christoph Rösli's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Click Chemistry and Applications (2 papers). Christoph Rösli is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Click Chemistry and Applications (2 papers). Christoph Rösli collaborates with scholars based in Switzerland, Germany and Austria. Christoph Rösli's co-authors include Dario Neri, Alessandra Villa, Giuliano Elia, Jascha‐N. Rybak, Christoph Schliemann, Eveline Trachsel, Laura Borsi, Manuela Kaspar, Roberto Sommavilla and Stephan Scheurer and has published in prestigious journals such as Nature Communications, The Journal of Immunology and International Journal of Cancer.

In The Last Decade

Christoph Rösli

10 papers receiving 473 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 Rösli Switzerland 8 245 168 137 124 78 10 487
Ingrid Babel Spain 8 301 1.2× 135 0.8× 137 1.0× 60 0.5× 84 1.1× 9 483
Matthias Kaup Germany 14 327 1.3× 75 0.4× 67 0.5× 74 0.6× 38 0.5× 21 445
Hyunbo Shim South Korea 17 439 1.8× 310 1.8× 174 1.3× 173 1.4× 66 0.8× 42 762
C.J. Dreyton United States 7 323 1.3× 60 0.4× 150 1.1× 177 1.4× 110 1.4× 8 551
Miha Pavšič Slovenia 13 281 1.1× 58 0.3× 181 1.3× 51 0.4× 68 0.9× 29 484
Johanna Stéen Sweden 11 192 0.8× 188 1.1× 47 0.3× 165 1.3× 16 0.2× 24 520
Robert Hinderer United States 13 497 2.0× 125 0.7× 116 0.8× 199 1.6× 50 0.6× 14 754
Monica Bhatia United States 6 423 1.7× 124 0.7× 220 1.6× 249 2.0× 101 1.3× 7 752
Josefine Gerhardt Switzerland 10 292 1.2× 84 0.5× 181 1.3× 81 0.7× 149 1.9× 12 618
Julia Coleman United Kingdom 8 468 1.9× 69 0.4× 278 2.0× 236 1.9× 112 1.4× 9 679

Countries citing papers authored by Christoph Rösli

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Rösli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Rösli

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

All Works

10 of 10 papers shown
1.
Nadler, Wiebke, et al.. (2017). MALDI versus ESI: The Impact of the Ion Source on Peptide Identification. Journal of Proteome Research. 16(3). 1207–1215. 59 indexed citations
2.
Weigel, Christoph, Marlon R. Veldwijk, Christopher C. Oakes, et al.. (2016). Epigenetic regulation of diacylglycerol kinase alpha promotes radiation-induced fibrosis. Nature Communications. 7(1). 10893–10893. 45 indexed citations
4.
Maier, Stefan K., et al.. (2014). PAS‐cal: A repetitive peptide sequence calibration standard for MALDI mass spectrometry. PROTEOMICS. 14(21-22). 2427–2431. 4 indexed citations
5.
Weber, Stefan, Nicole Joller, Roman Spörri, et al.. (2012). Identification of Protective B Cell Antigens of Legionella pneumophila. The Journal of Immunology. 189(2). 841–849. 18 indexed citations
6.
Schwager, Kathrin, et al.. (2011). A comparative immunofluorescence analysis of three clinical-stage antibodies in head and neck cancer. Head & Neck Oncology. 3(1). 25–25. 36 indexed citations
7.
Rösli, Christoph, Jascha‐N. Rybak, Dario Neri, & Giuliano Elia. (2008). Quantitative Recovery of Biotinylated Proteins from Streptavidin-Based Affinity Chromatography Resins. Humana Press eBooks. 418. 89–100. 13 indexed citations
8.
Villa, Alessandra, Eveline Trachsel, Manuela Kaspar, et al.. (2008). A high‐affinity human monoclonal antibody specific to the alternatively spliced EDA domain of fibronectin efficiently targets tumor neo‐vasculature in vivo. International Journal of Cancer. 122(11). 2405–2413. 195 indexed citations
9.
Ettorre, Anna, Christoph Rösli, Michela Silacci, et al.. (2006). Recombinant antibodies for the depletion of abundant proteins from human serum. PROTEOMICS. 6(16). 4496–4505. 17 indexed citations
10.
Scheurer, Stephan, et al.. (2004). Modulation of gene expression by hypoxia in human umbilical cord vein endothelial cells: A transcriptomic and proteomic study. PROTEOMICS. 4(6). 1737–1760. 96 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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