Danilo Ritz
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Caveolin-1 and cellular processes
- Cellular transport and secretion
- Molecular Biology top 10%
- vaccines and immunoinformatics approaches
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
Papers in ⓘ
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Hemmo Meyer (3 shared papers)Dario Neri (11 shared papers)Tim Fugmann (9 shared papers)Arnold Hayer (2 shared papers)Ari Helenius (1 shared paper)Miriam Stoeber (1 shared paper)Pavel Janščák (1 shared paper)Niels Mailand (1 shared paper)
- Journals
- PROTEOMICS (4 papers)Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Cell Biology (2 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Danilo Ritz
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 383
- Molecular Biology 871
- Immunology 262
- Oncology 229
- Physiology 145
Countries citing papers authored by Danilo Ritz
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
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-authors
The 25 scholars most cited alongside Danilo Ritz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 247 | |
| 2 | 2011 | 210 | |
| 3 | 2011 | 187 | |
| 4 | 2017 | 49 | |
| 5 | 2020 | 49 | |
| 6 | 2016 | 43 | |
| 7 | 2015 | 39 | |
| 8 | 2017 | 37 | |
| 9 | 2023 | 36 | |
| 10 | 2016 | 32 | |
| 11 | 2006 | 31 | |
| 12 | 2023 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2018 | 25 | |
| 15 | 2023 | 24 | |
| 16 | 2016 | 24 | |
| 17 | 2024 | 20 | |
| 18 | 2021 | 18 | |
| 19 | 2016 | 18 | |
| 20 | 2021 | 16 |
About Danilo Ritz
Danilo Ritz is a scholar working on Aging, Ecological Modeling, Molecular Biology, Immunology and Physiology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (8 papers), Immunotherapy and Immune Responses (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Erythrocyte Function and Pathophysiology (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Adipose Tissue and Metabolism (4 papers), Cellular transport and secretion (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cell Biology (383 citations), Molecular Biology (871 citations), Immunology (262 citations), Oncology (229 citations) and Physiology (145 citations). Danilo Ritz has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Hemmo Meyer, Dario Neri, Tim Fugmann, Arnold Hayer, Ari Helenius, Miriam Stoeber, Pavel Janščák, Niels Mailand, Zuzana Garajovà and Matthias Bosshard. Their work appears in journals such as PROTEOMICS, Nature Communications, Proceedings of the National Academy of Sciences, Nature Cell Biology and The Journal of Cell Biology.
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.