Csaba Molnár
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
-
- Cell Image Analysis Techniques 9
-
- Single-cell and spatial transcriptomics 3
- Fungal and yeast genetics research 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Zoltán Kónya (3 shared papers)Andrea Rónavári (3 shared papers)Nóra Igaz (1 shared paper)Ilona Pfeiffer (1 shared paper)Dóra Izabella Adamecz (1 shared paper)Bettina Szerencsés (1 shared paper)Mónika Kiricsi (2 shared papers)Allen Goodman (1 shared paper)
- Journals
- Scientific Reports (3 papers)Nature Communications (2 papers)Cytometry Part A (1 paper)Molecules (1 paper)Water Research (1 paper)
- Partner nations
- HungaryFinlandUnited States
In The Last Decade
Csaba Molnár
17 papers receiving 734 citations
Peers
Comparison fields: 5 of 124
- Biophysics 260
- Media Technology 98
- Structural Biology 9
- Computer Vision and Pattern Recognition 110
- Biomedical Engineering 188
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 | 2021 | 222 | |
| 2 | 2019 | 187 | |
| 3 | 2018 | 60 | |
| 4 | 2017 | 56 | |
| 5 | 2016 | 45 | |
| 6 | 2016 | 45 | |
| 7 | 2018 | 36 | |
| 8 | 2018 | 27 | |
| 9 | 2022 | 19 | |
| 10 | 2018 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 5 | |
| 14 | A Multi-Layer Phase Field Model for Extracting Multiple Near-Circular Objects ∗ | 2012 | 4 |
| 15 | 2016 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2012 | 1 |
About Csaba Molnár
Csaba Molnár is a scholar working on Biophysics, Molecular Biology, Media Technology, Biomedical Engineering and Cell Biology, having authored 17 papers that have together received 746 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Image Processing Techniques and Applications (5 papers), Single-cell and spatial transcriptomics (3 papers), Fungal and yeast genetics research (2 papers), Cellular Mechanics and Interactions (2 papers), Nanoparticles: synthesis and applications (2 papers), Environmental remediation with nanomaterials (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Biophysics (260 citations), Media Technology (98 citations), Structural Biology (9 citations), Computer Vision and Pattern Recognition (110 citations) and Biomedical Engineering (188 citations). Csaba Molnár has collaborated with scholars based in Hungary, Finland and United States. Frequent co-authors include Zoltán Kónya, Andrea Rónavári, Nóra Igaz, Ilona Pfeiffer, Dóra Izabella Adamecz, Bettina Szerencsés, Mónika Kiricsi, Allen Goodman, Jonathan Roth and Tim Becker. Their work appears in journals such as Scientific Reports, Nature Communications, Cytometry Part A, Molecules and Water Research.
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.