Daniel Bethmann
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- Head and Neck Cancer Studies 6
- Oncology 10
- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- Claudia Wickenhauser (17 shared papers)Bernard A. Fox (6 shared papers)Zipei Feng (5 shared papers)Prof. Dr. Barbara Seliger (10 shared papers)Matthias Kappler (10 shared papers)Carmen Ballesteros‐Merino (4 shared papers)Carlo Bruno Bifulco (4 shared papers)Alexander Eckert (5 shared papers)
- Journals
- npj Breast Cancer (4 papers)OncoImmunology (2 papers)International Journal of Molecular Sciences (2 papers)JCI Insight (1 paper)BMC Cancer (1 paper)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Daniel Bethmann
33 papers receiving 982 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 299
- Oncology 399
- Otorhinolaryngology 69
- Artificial Intelligence 146
- Immunology 64
Countries citing papers authored by Daniel Bethmann
This map shows the geographic impact of Daniel Bethmann'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 Bethmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bethmann more than expected).
Fields of papers citing papers by Daniel Bethmann
This network shows the impact of papers produced by Daniel Bethmann. 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 Bethmann. The network helps show where Daniel Bethmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bethmann, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 200 | |
| 2 | 2020 | 157 | |
| 3 | 2017 | 155 | |
| 4 | 2020 | 127 | |
| 5 | 2017 | 39 | |
| 6 | 2020 | 34 | |
| 7 | 2017 | 27 | |
| 8 | 2017 | 26 | |
| 9 | 2019 | 22 | |
| 10 | 2016 | 20 | |
| 11 | 2021 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2015 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2019 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 12 | |
| 20 | 2019 | 10 |
About Daniel Bethmann
Daniel Bethmann is a scholar working on Otorhinolaryngology, Oncology, Cancer Research, Ophthalmology and Biophysics, having authored 33 papers that have together received 1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Head and Neck Cancer Studies (6 papers), Breast Cancer Treatment Studies (5 papers), Nasolacrimal Duct Obstruction Treatments (4 papers), AI in cancer detection (3 papers), Proteoglycans and glycosaminoglycans research (2 papers), Cell Image Analysis Techniques (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Cancer Research (299 citations), Oncology (399 citations), Otorhinolaryngology (69 citations), Artificial Intelligence (146 citations) and Immunology (64 citations). Daniel Bethmann has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Claudia Wickenhauser, Bernard A. Fox, Zipei Feng, Prof. Dr. Barbara Seliger, Matthias Kappler, Carmen Ballesteros‐Merino, Carlo Bruno Bifulco, Alexander Eckert, Alexander W. Eckert and Chiara Massa. Their work appears in journals such as npj Breast Cancer, OncoImmunology, International Journal of Molecular Sciences, JCI Insight and BMC Cancer.
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.