Daniel Senfter
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA modifications and cancer
Papers in
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- Extracellular vesicles in disease 6
- Single-cell and spatial transcriptomics 1
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- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Robert M. Mader (7 shared papers)Georg Krupitza (6 shared papers)Sibylle Madlener (10 shared papers)Nicole Huttary (4 shared papers)Walter Jäger (4 shared papers)Helmut Dolznig (3 shared papers)Erdoğan Pekcan Erkan (2 shared papers)Gerhard Jungwirth (2 shared papers)
- Journals
- Neuro-Oncology (2 papers)The Journal of Cell Biology (1 paper)Journal of Cellular Biochemistry (1 paper)Oncology Reports (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Daniel Senfter
18 papers receiving 417 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 233
- Molecular Biology 330
- Immunology and Allergy 18
- Immunology 46
- Oncology 47
Countries citing papers authored by Daniel Senfter
This map shows the geographic impact of Daniel Senfter'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 Senfter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Senfter more than expected).
Fields of papers citing papers by Daniel Senfter
This network shows the impact of papers produced by Daniel Senfter. 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 Senfter. The network helps show where Daniel Senfter may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Senfter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 72 | |
| 2 | 2015 | 69 | |
| 3 | 2018 | 57 | |
| 4 | 2016 | 47 | |
| 5 | 2015 | 34 | |
| 6 | 2016 | 29 | |
| 7 | 2019 | 29 | |
| 8 | 2018 | 20 | |
| 9 | 2017 | 17 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2017 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 0 |
About Daniel Senfter
Daniel Senfter is a scholar working on Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 19 papers that have together received 417 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Glioma Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (3 papers), Cancer Genomics and Diagnostics (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related molecular mechanisms research (2 papers), Single-cell and spatial transcriptomics (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Cancer Research (233 citations), Molecular Biology (330 citations), Immunology and Allergy (18 citations), Immunology (46 citations) and Oncology (47 citations). Daniel Senfter has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Robert M. Mader, Georg Krupitza, Sibylle Madlener, Nicole Huttary, Walter Jäger, Helmut Dolznig, Erdoğan Pekcan Erkan, Gerhard Jungwirth, Thomas Ströbel and Okay Saydam. Their work appears in journals such as Neuro-Oncology, The Journal of Cell Biology, Journal of Cellular Biochemistry, Oncology Reports and Cell Death and Disease.
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.