Francesca Ros

437 total citations
9 papers, 312 citations indexed

About

Francesca Ros is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Francesca Ros has authored 9 papers receiving a total of 312 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 3 papers in Immunology. Recurrent topics in Francesca Ros's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Francesca Ros is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Francesca Ros collaborates with scholars based in Germany, Switzerland and United Kingdom. Francesca Ros's co-authors include Reinhard Kunze, Josef Platzer, Sonja Offner, Valeria Lifke, Irmgard S. Thorey, Roland Buelow, Tatiana Flisikowska, O. Rottmann, Bryan Zeitler and Anna Vincent and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Francesca Ros

8 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Ros Germany 6 227 94 74 68 65 9 312
Jennifer Becker United States 11 208 0.9× 53 0.6× 21 0.3× 65 1.0× 22 0.3× 22 305
R.E. Eisenman United States 5 131 0.6× 77 0.8× 29 0.4× 41 0.6× 49 0.8× 5 262
Noriyuki Hamasima Japan 12 127 0.6× 131 1.4× 24 0.3× 23 0.3× 121 1.9× 28 347
Régis Cèbe Switzerland 5 214 0.9× 60 0.6× 25 0.3× 17 0.3× 29 0.4× 6 313
Shervin Bahrami Denmark 9 132 0.6× 38 0.4× 11 0.1× 54 0.8× 70 1.1× 25 245
Madolyn L. MacDonald United States 8 199 0.9× 106 1.1× 25 0.3× 12 0.2× 14 0.2× 13 290
Shelley Izquierdo United States 10 328 1.4× 208 2.2× 157 2.1× 18 0.3× 98 1.5× 12 438
Takashi Ohkura Japan 9 175 0.8× 21 0.2× 24 0.3× 19 0.3× 112 1.7× 11 340
Alexander P. Walker United Kingdom 8 265 1.2× 37 0.4× 13 0.2× 28 0.4× 147 2.3× 9 500
Yanping Quan China 12 221 1.0× 70 0.7× 8 0.1× 58 0.9× 68 1.0× 34 337

Countries citing papers authored by Francesca Ros

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Ros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Ros

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

All Works

9 of 9 papers shown
1.
Wessels, Uwe, et al.. (2025). Selective IgM digestion improves anti-AAV IgG detection in the immune complex assay format. Bioanalysis. 17(16). 1011–1016.
2.
Wrzodek, Clemens, et al.. (2024). Prediction of polyspecificity from antibody sequence data by machine learning. SHILAP Revista de lepidopterología. 3. 1286883–1286883. 2 indexed citations
3.
Wong, Wing Ki, Guy Georges, Francesca Ros, et al.. (2018). SCALOP: sequence-based antibody canonical loop structure annotation. Bioinformatics. 35(10). 1774–1776. 22 indexed citations
4.
Seeber, Stefan, Francesca Ros, Irmgard S. Thorey, et al.. (2014). A Robust High Throughput Platform to Generate Functional Recombinant Monoclonal Antibodies Using Rabbit B Cells from Peripheral Blood. PLoS ONE. 9(2). e86184–e86184. 48 indexed citations
5.
Flisikowska, Tatiana, Irmgard S. Thorey, Sonja Offner, et al.. (2011). Efficient Immunoglobulin Gene Disruption and Targeted Replacement in Rabbit Using Zinc Finger Nucleases. PLoS ONE. 6(6). e21045–e21045. 122 indexed citations
6.
Ros, Francesca, et al.. (2005). Sequence analysis of 0.4 megabases of the rabbit germline immunoglobulin kappa1 light chain locus. Animal Genetics. 36(1). 51–57. 11 indexed citations
7.
Ros, Francesca, et al.. (2004). Sequence analysis of 0.5 Mb of the rabbit germline immunoglobulin heavy chain locus. Gene. 330. 49–59. 43 indexed citations
8.
Ros, Francesca & Reinhard Kunze. (2001). Regulation of Activator/Dissociation Transposition by Replication and DNA Methylation. Genetics. 157(4). 1723–1733. 63 indexed citations
9.
Ros, Francesca. (2001). Regulation of maize Ac/Ds transposition by replication and DNA methylation. Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München). 1 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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