Daniel Bachurski

20 papers receiving 9.6k citations

Daniel Bachurski's Hit Papers

Extracellular vesicle measurements with nanoparticle tracking analysis – An accuracy and repeatability comparison between NanoSight NS300 and ZetaView 2019 · 472 citations
4720+2+5Years since publication2.5k5.0k7.5k

Peers

Daniel Bachurski
Comparison fields: 5 of 131
  • Cancer Research 3.9k
  • Molecular Biology 8.2k
  • Immunology and Allergy 405
  • Immunology 1.3k
  • Genetics 454
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András I. Försönits Hungary
Tamás Visnovitz Hungary
Aleksandra Leszczynska United States
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Ahmed Gamal-Eldin Ibrahim United States
Veronika Mussack Germany
Bonita H. Powell United States
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Citations per field
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András I. Försönits · 1×
Citations per year

Countries citing papers authored by Daniel Bachurski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Bachurski Line = papers co-authored together Daniel Bachurski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines
Hit paper breakdown →
20188955
2
Extracellular vesicle measurements with nanoparticle tracking analysis – An accuracy and repeatability comparison between NanoSight NS300 and ZetaView
Hit paper breakdown →
2019472
3 201648
4 202045
5 202233
6 202025
7 202123
8 202219
9 202219
10 202318
11 202417
12 20259
13 20247
14 20252
15 20242
16 20252
17 20261
18 20231
19 20251
20 20181

About Daniel Bachurski

Daniel Bachurski is a scholar working on Cancer Research, Immunology, Molecular Biology, Immunology and Allergy and Genetics, having authored 20 papers that have together received 9.7k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (13 papers), MicroRNA in disease regulation (6 papers), Cell Adhesion Molecules Research (2 papers), CAR-T cell therapy research (2 papers), Viral Infections and Vectors (2 papers), Circular RNAs in diseases (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (3.9k citations), Molecular Biology (8.2k citations), Immunology and Allergy (405 citations), Immunology (1.3k citations) and Genetics (454 citations). Daniel Bachurski has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Michael J. Hallek, Katrin S. Reiners, Hinrich Peter Hansen, Elke Pogge von Strandmann, Patricia Cristina Grenzi, Felix Babatz, Astrid C Schauss, Phuong‐Hien Nguyen, Christoph Coch and Gunther Hartmann. Their work appears in journals such as Journal of Extracellular Vesicles, International Journal of Molecular Sciences, Cells, Cellular and Molecular Immunology and Nature Communications.

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.

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