Mariya Barch
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Advanced biosensing and bioanalysis techniques 1
-
- Force Microscopy Techniques and Applications 2
- Co-authors
- Alan Jasanoff (3 shared papers)Satoshi Okada (2 shared papers)Wei He (1 shared paper)Christian T. Farrar (1 shared paper)Oliver T. Bruns (1 shared paper)Moungi G. Bawendi (1 shared paper)Yue Chen (1 shared paper)Ou Chen (1 shared paper)
- Journals
- Journal of the American Chemical Society (1 paper)Journal of Neuroscience (1 paper)Nature Communications (1 paper)BMC Bioinformatics (1 paper)Communications Biology (1 paper)
- Partner nations
- United StatesLuxembourgGermany
In The Last Decade
Mariya Barch
9 papers receiving 610 citations
Mariya Barch's Hit Papers
Peers
Comparison fields: 5 of 101
- Biomaterials 248
- Biophysics 69
- Structural Biology 9
- Biomedical Engineering 259
- Media Technology 40
Countries citing papers authored by Mariya Barch
This map shows the geographic impact of Mariya Barch'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 Mariya Barch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariya Barch more than expected).
Fields of papers citing papers by Mariya Barch
This network shows the impact of papers produced by Mariya Barch. 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 Mariya Barch. The network helps show where Mariya Barch may publish in the future.
Co-authors
The 25 scholars most cited alongside Mariya Barch, 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 | Exceedingly small iron oxide nanoparticles as positive MRI contrast agents Hit paper breakdown → | 2017 | 396 |
| 2 | 2018 | 92 | |
| 3 | 2007 | 51 | |
| 4 | 2016 | 26 | |
| 5 | 2019 | 24 | |
| 6 | 2016 | 16 | |
| 7 | 2007 | 7 | |
| 8 | 2014 | 6 | |
| 9 | 2020 | 3 |
About Mariya Barch
Mariya Barch is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience, Biomaterials and Biophysics, having authored 9 papers that have together received 621 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Force Microscopy Techniques and Applications (2 papers), Molecular Junctions and Nanostructures (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Characterization and Applications of Magnetic Nanoparticles (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Biomaterials (248 citations), Biophysics (69 citations), Structural Biology (9 citations), Biomedical Engineering (259 citations) and Media Technology (40 citations). Mariya Barch has collaborated with scholars based in United States, Luxembourg and Germany. Frequent co-authors include Alan Jasanoff, Satoshi Okada, Wei He, Christian T. Farrar, Oliver T. Bruns, Moungi G. Bawendi, Yue Chen, Ou Chen, Peter F. Nielsen and Eric C. Hansen. Their work appears in journals such as Journal of the American Chemical Society, Journal of Neuroscience, Nature Communications, BMC Bioinformatics and Communications Biology.
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.