Daniel Dauch
Impact in
- Aging top 2%
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
Papers in
-
- Cancer, Lipids, and Metabolism 3
- Cancer, Hypoxia, and Metabolism 3
-
- RNA modifications and cancer 3
- Melanoma and MAPK Pathways 3
- Co-authors
- Lars Zender (16 shared papers)Torsten Wüestefeld (4 shared papers)Przemyslaw M. Bozko (3 shared papers)Nisar P. Malek (3 shared papers)Antti Poso (3 shared papers)Tatu Pantsar (2 shared papers)Stefan Laufer (6 shared papers)Ramona Rudalska (5 shared papers)
- Journals
- Cell (3 papers)Journal of Medicinal Chemistry (3 papers)Nature Medicine (3 papers)Nature Communications (2 papers)Cancer Cell (2 papers)
- Partner nations
- GermanyFinlandUnited Kingdom
In The Last Decade
Daniel Dauch
30 papers receiving 3.4k citations
Daniel Dauch's Hit Papers
Peers
Comparison fields: 5 of 100
- Aging 122
- Hepatology 403
- Cancer Research 568
- Immunology 709
- Physiology 712
Countries citing papers authored by Daniel Dauch
This map shows the geographic impact of Daniel Dauch'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 Daniel Dauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dauch more than expected).
Fields of papers citing papers by Daniel Dauch
This network shows the impact of papers produced by Daniel Dauch. 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 Daniel Dauch. The network helps show where Daniel Dauch may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dauch, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Senescence surveillance of pre-malignant hepatocytes limits liver cancer development Hit paper breakdown → | 2011 | 1332 |
| 2 | Platelet GPIbα is a mediator and potential interventional target for NASH and subsequent liver cancer Hit paper breakdown → | 2019 | 338 |
| 3 | 2012 | 284 | |
| 4 | 2014 | 243 | |
| 5 | 2016 | 233 | |
| 6 | 2013 | 179 | |
| 7 | 2013 | 123 | |
| 8 | 2016 | 114 | |
| 9 | 2020 | 105 | |
| 10 | 2018 | 67 | |
| 11 | 2018 | 62 | |
| 12 | 2021 | 48 | |
| 13 | 2019 | 35 | |
| 14 | 2016 | 31 | |
| 15 | 2014 | 29 | |
| 16 | 2017 | 24 | |
| 17 | 2023 | 23 | |
| 18 | 2020 | 21 | |
| 19 | 2024 | 19 | |
| 20 | 2025 | 18 |
About Daniel Dauch
Daniel Dauch is a scholar working on Cancer Research, Molecular Biology, Oncology, Hepatology and Immunology, having authored 30 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Cholesterol and Lipid Metabolism (3 papers), Immune cells in cancer (3 papers), RNA modifications and cancer (3 papers), Melanoma and MAPK Pathways (3 papers), Cancer, Lipids, and Metabolism (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Aging (122 citations), Hepatology (403 citations), Cancer Research (568 citations), Immunology (709 citations) and Physiology (712 citations). Daniel Dauch has collaborated with scholars based in Germany, Finland and United Kingdom. Frequent co-authors include Lars Zender, Torsten Wüestefeld, Przemyslaw M. Bozko, Nisar P. Malek, Antti Poso, Tatu Pantsar, Stefan Laufer, Ramona Rudalska, Zhenyu Ju and Daniel Jean Hartmann. Their work appears in journals such as Cell, Journal of Medicinal Chemistry, Nature Medicine, Nature Communications and Cancer Cell.
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.