Daniel Dauch
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Melanoma and MAPK Pathways 3
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
-
- Cancer, Hypoxia, and Metabolism 4
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Lars Zender (17 shared papers)Torsten Wüestefeld (4 shared papers)Nisar P. Malek (3 shared papers)Stefan Laufer (8 shared papers)Ramona Rudalska (6 shared papers)Thomas Longerich (4 shared papers)Robert Geffers (3 shared papers)Przemyslaw Bozko (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Nature Medicine (2 papers)Journal of Hepatology (2 papers)Gastroenterology (1 paper)Nature Metabolism (1 paper)
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Daniel Dauch
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 288
- Hepatology 147
- Molecular Biology 791
- Aging 19
- Oncology 249
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 268 | |
| 2 | 2014 | 220 | |
| 3 | 2016 | 207 | |
| 4 | 2013 | 170 | |
| 5 | 2016 | 104 | |
| 6 | 2018 | 64 | |
| 7 | 2018 | 62 | |
| 8 | 2019 | 33 | |
| 9 | 2014 | 29 | |
| 10 | 2016 | 29 | |
| 11 | 2017 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2023 | 19 | |
| 14 | 2025 | 17 | |
| 15 | 2024 | 17 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2021 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 1 |
About Daniel Dauch
Daniel Dauch is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Organic Chemistry, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related Molecular Pathways (3 papers), Melanoma and MAPK Pathways (3 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Quinazolinone synthesis and applications (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (288 citations), Hepatology (147 citations), Molecular Biology (791 citations), Aging (19 citations) and Oncology (249 citations). Daniel Dauch has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Lars Zender, Torsten Wüestefeld, Nisar P. Malek, Stefan Laufer, Ramona Rudalska, Thomas Longerich, Robert Geffers, Przemyslaw Bozko, Tae-Won Kang and Antti Poso. Their work appears in journals such as Journal of Medicinal Chemistry, Nature Medicine, Journal of Hepatology, Gastroenterology and Nature Metabolism.
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.