Daniel Bachurski
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Cell Adhesion Molecules Research
Papers in
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- Extracellular vesicles in disease 7
- Circular RNAs in diseases 2
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 1
- Co-authors
- Katrin S. Reiners (4 shared papers)Michael Hallek (4 shared papers)Hinrich P. Hansen (3 shared papers)Elke Pogge von Strandmann (3 shared papers)Patricia C. Grenzi (2 shared papers)Felix Babatz (2 shared papers)Phuong‐Hien Nguyen (1 shared paper)Astrid Schauß (1 shared paper)
- Journals
- International Journal of Molecular Sciences (3 papers)Advanced Healthcare Materials (1 paper)Journal of Extracellular Vesicles (1 paper)Cellular and Molecular Gastroenterology and Hepatology (1 paper)Oncotarget (1 paper)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Daniel Bachurski
6 papers receiving 519 citations
Daniel Bachurski's Hit Papers
Peers
Comparison fields: 5 of 85
- Cancer Research 211
- Immunology and Allergy 41
- Molecular Biology 424
- Microbiology 18
- Immunology 57
Countries citing papers authored by Daniel Bachurski
This map shows the geographic impact of Daniel Bachurski'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 Bachurski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bachurski more than expected).
Fields of papers citing papers by Daniel Bachurski
This network shows the impact of papers produced by Daniel Bachurski. 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 Bachurski. The network helps show where Daniel Bachurski may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bachurski, 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 | Extracellular vesicle measurements with nanoparticle tracking analysis – An accuracy and repeatability comparison between NanoSight NS300 and ZetaView Hit paper breakdown → | 2019 | 421 |
| 2 | 2016 | 41 | |
| 3 | 2020 | 22 | |
| 4 | 2021 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 1 | |
| 7 | 2026 | 0 | |
| 8 | 2025 | 0 |
About Daniel Bachurski
Daniel Bachurski is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Rheumatology and Immunology and Allergy, having authored 8 papers that have together received 522 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (1 paper), Musculoskeletal synovial abnormalities and treatments (1 paper), Nanopore and Nanochannel Transport Studies (1 paper), Cell Adhesion Molecules Research (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Cancer Research (211 citations), Immunology and Allergy (41 citations), Molecular Biology (424 citations), Microbiology (18 citations) and Immunology (57 citations). Daniel Bachurski has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Katrin S. Reiners, Michael Hallek, Hinrich P. Hansen, Elke Pogge von Strandmann, Patricia C. Grenzi, Felix Babatz, Phuong‐Hien Nguyen, Astrid Schauß, Christoph Coch and Gunther Hartmann. Their work appears in journals such as International Journal of Molecular Sciences, Advanced Healthcare Materials, Journal of Extracellular Vesicles, Cellular and Molecular Gastroenterology and Hepatology and Oncotarget.
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.