Csaba Molnár
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Materials Chemistry top 10%
- Nanoparticles: synthesis and applications
Papers in
- Biophysics 10
- Cell Image Analysis Techniques 10
-
- Medical Image Segmentation Techniques 3
- Co-authors
- Zoltán Kónya (3 shared papers)Andrea Rónavári (3 shared papers)Mónika Kiricsi (2 shared papers)Bettina Szerencsés (1 shared paper)Nóra Igaz (1 shared paper)Ilona Pfeiffer (1 shared paper)Dóra Izabella Adamecz (1 shared paper)Péter Horváth (11 shared papers)
- Journals
- Scientific Reports (3 papers)Nature Communications (2 papers)Cell Systems (2 papers)Water Research (1 paper)Nature Methods (1 paper)
- Partner nations
- HungaryFinlandUnited States
In The Last Decade
Csaba Molnár
19 papers receiving 1.6k citations
Csaba Molnár's Hit Papers
Peers
Comparison fields: 5 of 114
- Biophysics 676
- Materials Chemistry 236
- Computer Vision and Pattern Recognition 121
- Biomedical Engineering 144
- Molecular Biology 227
Countries citing papers authored by Csaba Molnár
This map shows the geographic impact of Csaba Molnár'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 Csaba Molnár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Molnár more than expected).
Fields of papers citing papers by Csaba Molnár
This network shows the impact of papers produced by Csaba Molnár. 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 Csaba Molnár. The network helps show where Csaba Molnár may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Molnár, 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 | Data-analysis strategies for image-based cell profiling Hit paper breakdown → | 2017 | 520 |
| 2 | Green Silver and Gold Nanoparticles: Biological Synthesis Approaches and Potentials for Biomedical Applications Hit paper breakdown → | 2021 | 278 |
| 3 | 2019 | 220 | |
| 4 | 2020 | 190 | |
| 5 | 2018 | 72 | |
| 6 | 2017 | 64 | |
| 7 | 2016 | 55 | |
| 8 | 2016 | 51 | |
| 9 | 2018 | 42 | |
| 10 | 2018 | 28 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 14 | |
| 13 | 2018 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 8 | |
| 16 | A Multi-Layer Phase Field Model for Extracting Multiple Near-Circular Objects ∗ | 2012 | 4 |
| 17 | 2016 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2015 | 3 |
About Csaba Molnár
Csaba Molnár is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Molecular Biology, Biomedical Engineering and Materials Chemistry, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), Medical Image Segmentation Techniques (3 papers), Environmental remediation with nanomaterials (2 papers), Nanoparticles: synthesis and applications (2 papers), RNA and protein synthesis mechanisms (1 paper), Gene Regulatory Network Analysis (1 paper), Gene expression and cancer classification (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Biophysics (676 citations), Materials Chemistry (236 citations), Computer Vision and Pattern Recognition (121 citations), Biomedical Engineering (144 citations) and Molecular Biology (227 citations). Csaba Molnár has collaborated with scholars based in Hungary, Finland and United States. Frequent co-authors include Zoltán Kónya, Andrea Rónavári, Mónika Kiricsi, Bettina Szerencsés, Nóra Igaz, Ilona Pfeiffer, Dóra Izabella Adamecz, Péter Horváth, Juan C. Caicedo and Anne E. Carpenter. Their work appears in journals such as Scientific Reports, Nature Communications, Cell Systems, Water Research and Nature Methods.
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.