Manuel Rogg
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- interferon and immune responses
Papers in
- Nephrology 13
- Renal Diseases and Glomerulopathies 13
- Chronic Kidney Disease and Diabetes 4
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- Renal and related cancers 6
- Machine Learning in Bioinformatics 1
- Co-authors
- Christoph Schell (22 shared papers)Tobias B. Huber (8 shared papers)Mako Yasuda‒Yamahara (5 shared papers)Branko Zevnik (1 shared paper)Manolis Pasparakis (1 shared paper)Nikos Oikonomou (1 shared paper)Masahiro Nagata (1 shared paper)Huipeng Jiao (1 shared paper)
- Journals
- Cells (3 papers)PLoS ONE (2 papers)iScience (1 paper)Neoplasia (1 paper)Cellular and Molecular Immunology (1 paper)
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Manuel Rogg
21 papers receiving 341 citations
Peers
Comparison fields: 5 of 70
- Nephrology 91
- Immunology 92
- Molecular Biology 211
- Cell Biology 42
- Genetics 55
Countries citing papers authored by Manuel Rogg
This map shows the geographic impact of Manuel Rogg'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 Manuel Rogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Rogg more than expected).
Fields of papers citing papers by Manuel Rogg
This network shows the impact of papers produced by Manuel Rogg. 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 Manuel Rogg. The network helps show where Manuel Rogg may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Rogg, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 137 | |
| 2 | 2018 | 35 | |
| 3 | 2018 | 25 | |
| 4 | 2021 | 21 | |
| 5 | 2017 | 19 | |
| 6 | 2021 | 19 | |
| 7 | 2018 | 16 | |
| 8 | 2023 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2025 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Manuel Rogg
Manuel Rogg is a scholar working on Nephrology, Molecular Biology, Genetics, Immunology and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 350 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (13 papers), Genetic and Kidney Cyst Diseases (6 papers), Renal and related cancers (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Complement system in diseases (3 papers), Platelet Disorders and Treatments (2 papers), Machine Learning in Bioinformatics (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Nephrology (91 citations), Immunology (92 citations), Molecular Biology (211 citations), Cell Biology (42 citations) and Genetics (55 citations). Manuel Rogg has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Christoph Schell, Tobias B. Huber, Mako Yasuda‒Yamahara, Branko Zevnik, Manolis Pasparakis, Nikos Oikonomou, Masahiro Nagata, Huipeng Jiao, Laurens Wachsmuth and George Kassiotis. Their work appears in journals such as Cells, PLoS ONE, iScience, Neoplasia and Cellular and Molecular Immunology.
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.