Mariya Barch
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- S100 Proteins and Annexins 1
-
- Medical Image Segmentation Techniques 1
- Advanced Vision and Imaging 1
- Co-authors
- Alan Jasanoff (3 shared papers)Satoshi Okada (2 shared papers)Wei He (1 shared paper)Christian T. Farrar (1 shared paper)Peter F. Nielsen (1 shared paper)Gerhard Adam (1 shared paper)Yue Chen (1 shared paper)Nan Li (1 shared paper)
- Journals
- Nature Communications (1 paper)Modern Pathology (1 paper)Journal of Neuroscience (1 paper)Angewandte Chemie International Edition (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesGermanyLuxembourg
In The Last Decade
Mariya Barch
9 papers receiving 622 citations
Mariya Barch's Hit Papers
Peers
Comparison fields: 5 of 100
- Biomaterials 244
- Biophysics 68
- Structural Biology 9
- Biomedical Engineering 254
- Radiology, Nuclear Medicine and Imaging 95
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 | 400 |
| 2 | 2018 | 97 | |
| 3 | 2007 | 51 | |
| 4 | 2019 | 26 | |
| 5 | 2016 | 26 | |
| 6 | 2016 | 16 | |
| 7 | 2007 | 7 | |
| 8 | 2014 | 6 | |
| 9 | 2020 | 3 | |
| 10 | 2024 | 0 |
About Mariya Barch
Mariya Barch is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Biomaterials and Electrical and Electronic Engineering, having authored 10 papers that have together received 632 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Molecular Junctions and Nanostructures (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Medical Image Segmentation Techniques (1 paper), S100 Proteins and Annexins (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Biomaterials (244 citations), Biophysics (68 citations), Structural Biology (9 citations), Biomedical Engineering (254 citations) and Radiology, Nuclear Medicine and Imaging (95 citations). Mariya Barch has collaborated with scholars based in United States, Germany and Luxembourg. Frequent co-authors include Alan Jasanoff, Satoshi Okada, Wei He, Christian T. Farrar, Peter F. Nielsen, Gerhard Adam, Yue Chen, Nan Li, Michael G. Kaul and Ou Chen. Their work appears in journals such as Nature Communications, Modern Pathology, Journal of Neuroscience, Angewandte Chemie International Edition and Journal of the American Chemical Society.
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.