Danilo Ritz
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Caveolin-1 and cellular processes
- Cellular transport and secretion
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
-
- vaccines and immunoinformatics approaches 8
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Hemmo H Meyer (3 shared papers)Dario Neri (11 shared papers)Tim Fugmann (9 shared papers)Arnold Hayer (2 shared papers)Miriam Stoeber (1 shared paper)Ari Helenius (1 shared paper)Kristijan Ramadan (1 shared paper)Matthias Bosshard (1 shared paper)
- Journals
- PROTEOMICS (4 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Communications (3 papers)eLife (2 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Danilo Ritz
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 400
- Immunology 270
- Molecular Biology 897
- Oncology 225
- Physiology 153
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 | 261 | |
| 2 | 2011 | 227 | |
| 3 | 2011 | 199 | |
| 4 | 2020 | 53 | |
| 5 | 2017 | 51 | |
| 6 | 2023 | 48 | |
| 7 | 2016 | 45 | |
| 8 | 2017 | 42 | |
| 9 | 2015 | 41 | |
| 10 | 2016 | 36 | |
| 11 | 2006 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 2023 | 29 | |
| 14 | 2024 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2023 | 28 | |
| 17 | 2016 | 24 | |
| 18 | 2021 | 21 | |
| 19 | 2016 | 20 | |
| 20 | 2021 | 18 |
About Danilo Ritz
Danilo Ritz is a scholar working on Molecular Biology, Aging, Immunology, Physiology and Oncology, having authored 40 papers that have together received 1.4k 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), Adipose Tissue and Metabolism (4 papers), Cellular transport and secretion (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Cell Biology (400 citations), Immunology (270 citations), Molecular Biology (897 citations), Oncology (225 citations) and Physiology (153 citations). Danilo Ritz has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Hemmo H Meyer, Dario Neri, Tim Fugmann, Arnold Hayer, Miriam Stoeber, Ari Helenius, Kristijan Ramadan, Matthias Bosshard, Pavel Janščák and Niels Mailand. Their work appears in journals such as PROTEOMICS, Proceedings of the National Academy of Sciences, Nature Communications, eLife 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.