Danilo Ritz

1.7k total citations
40 papers, 1.3k citations indexed

About

Danilo Ritz is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Danilo Ritz has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Physiology. Recurrent topics in Danilo Ritz's work include vaccines and immunoinformatics approaches (8 papers), Immunotherapy and Immune Responses (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Danilo Ritz is often cited by papers focused on vaccines and immunoinformatics approaches (8 papers), Immunotherapy and Immune Responses (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Danilo Ritz collaborates with scholars based in Switzerland, Germany and United States. Danilo Ritz's co-authors include Hemmo Meyer, Dario Neri, Tim Fugmann, Arnold Hayer, Miriam Stoeber, Ari Helenius, Niels Mailand, Pavel Janščák, Matthias Bosshard and Shreya Paliwal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Danilo Ritz

36 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danilo Ritz Switzerland 19 871 383 262 229 145 40 1.3k
Toshiaki Koda Japan 23 687 0.8× 262 0.7× 485 1.9× 234 1.0× 131 0.9× 56 1.4k
Devin Dersh United States 13 645 0.7× 337 0.9× 315 1.2× 204 0.9× 69 0.5× 20 1.1k
Stephen Gschmeissner United Kingdom 9 924 1.1× 216 0.6× 262 1.0× 124 0.5× 46 0.3× 9 1.2k
Graciana Diez‐Roux Italy 11 775 0.9× 159 0.4× 486 1.9× 98 0.4× 124 0.9× 11 1.3k
Daiki Kobayashi Japan 18 820 0.9× 184 0.5× 105 0.4× 123 0.5× 75 0.5× 37 1.3k
Mantu Bhaumik United States 18 1.3k 1.4× 171 0.4× 197 0.8× 198 0.9× 177 1.2× 32 1.5k
Zrinka Marijanovic France 10 695 0.8× 173 0.5× 164 0.6× 119 0.5× 191 1.3× 13 1.1k
Yuanhui Huang United States 15 638 0.7× 307 0.8× 85 0.3× 159 0.7× 51 0.4× 22 923
Roberto Villaseñor Switzerland 13 553 0.6× 223 0.6× 96 0.4× 116 0.5× 98 0.7× 19 984
William Brondyk United States 19 794 0.9× 741 1.9× 113 0.4× 193 0.8× 445 3.1× 29 1.6k

Countries citing papers authored by Danilo Ritz

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Ritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Ritz

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

All Works

20 of 20 papers shown
1.
Fages, Antoine, et al.. (2025). Distinct gene regulatory dynamics drive skeletogenic cell fate convergence during vertebrate embryogenesis. Nature Communications. 16(1). 2187–2187.
2.
Kyriakakis, Emmanouil, et al.. (2025). Bacterial RNA promotes proteostasis through inter-tissue communication in C. elegans. Nature Communications. 16(1). 8650–8650.
3.
Delezie, Julien, Pål O. Westermark, Danilo Ritz, et al.. (2024). More than the clock: distinct regulation of muscle function and metabolism by PER2 and RORα. The Journal of Physiology. 602(23). 6373–6402. 4 indexed citations
4.
Ashkarran, Ali Akbar, Hassan Gharibi, Seyed Majed Modaresi, et al.. (2024). Small molecule modulation of protein corona for deep plasma proteome profiling. Nature Communications. 15(1). 9638–9638. 20 indexed citations
5.
Ritz, Danilo, et al.. (2024). Arf1-dependent LRBA recruitment to Rab4 endosomes is required for endolysosome homeostasis. The Journal of Cell Biology. 223(11). 4 indexed citations
7.
Shetty, Sunil, et al.. (2023). TORC1 phosphorylates and inhibits the ribosome preservation factor Stm1 to activate dormant ribosomes. The EMBO Journal. 42(5). e112344–e112344. 27 indexed citations
8.
Ritz, Danilo, et al.. (2023). Effects of high‐resistance wheel running on hallmarks of endurance and resistance training adaptations in mice. Physiological Reports. 11(11). e15701–e15701. 8 indexed citations
9.
Börsch, Anastasiya, et al.. (2023). Impaired age-associated mitochondrial translation is mitigated by exercise and PGC-1α. Proceedings of the National Academy of Sciences. 120(36). e2302360120–e2302360120. 24 indexed citations
10.
Schaefer, Thorsten, Chiara Borsari, Saule Zhanybekova, et al.. (2023). A high affinity pan-PI3K binding module supports selective targeted protein degradation of PI3Kα. Chemical Science. 15(2). 683–691. 15 indexed citations
11.
Furrer, Regula, Karl Nordström, Danilo Ritz, et al.. (2023). Molecular control of endurance training adaptation in male mouse skeletal muscle. Nature Metabolism. 5(11). 2020–2035. 36 indexed citations
12.
Shimobayashi, Mitsugu, Amandine Thomas, Sunil Shetty, et al.. (2023). Diet-induced loss of adipose hexokinase 2 correlates with hyperglycemia. eLife. 12. 11 indexed citations
13.
Pérez‐Schindler, Joaquín, Bastian Kohl, Carlos Henríquez‐Olguín, et al.. (2021). RNA-bound PGC-1α controls gene expression in liquid-like nuclear condensates. Proceedings of the National Academy of Sciences. 118(36). 16 indexed citations
14.
Huang, Yen‐Lin, Ching-Yeu Liang, Vera Labitzky, et al.. (2021). Site-specific N-glycosylation of integrin α2 mediates collagen-dependent cell survival. iScience. 24(10). 103168–103168. 18 indexed citations
15.
Ritz, Danilo, et al.. (2020). Abiotic and past climatic conditions drive protein abundance variation among natural populations of the caddisfly Crunoecia irrorata. Scientific Reports. 10(1). 15538–15538. 3 indexed citations
16.
Huang, Yen‐Lin, Dedy Septiadi, Danilo Ritz, et al.. (2020). Patient-derived and artificial ascites have minor effects on MeT-5A mesothelial cells and do not facilitate ovarian cancer cell adhesion. PLoS ONE. 15(12). e0241500–e0241500. 3 indexed citations
17.
Probst, Philipp, et al.. (2018). Antibody-based Delivery of TNF to the Tumor Neovasculature Potentiates the Therapeutic Activity of a Peptide Anticancer Vaccine. Clinical Cancer Research. 25(2). 698–709. 26 indexed citations
18.
Probst, Philipp, Annette Oxenius, Mario P. Colombo, et al.. (2017). Sarcoma Eradication by Doxorubicin and Targeted TNF Relies upon CD8+ T-cell Recognition of a Retroviral Antigen. Cancer Research. 77(13). 3644–3654. 49 indexed citations
19.
Meerang, Mayura, Danilo Ritz, Shreya Paliwal, et al.. (2011). The ubiquitin-selective segregase VCP/p97 orchestrates the response to DNA double-strand breaks. Nature Cell Biology. 13(11). 1376–1382. 210 indexed citations
20.
Ritz, Danilo, Philipp Kirchner, Monika Bug, et al.. (2011). Endolysosomal sorting of ubiquitylated caveolin-1 is regulated by VCP and UBXD1 and impaired by VCP disease mutations. Nature Cell Biology. 13(9). 1116–1123. 187 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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