Inbal Maayan
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
-
- Fungal and yeast genetics research 2
- Protein Tyrosine Phosphatases 1
-
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Markus W. Covert (3 shared papers)Takamasa Kudo (2 shared papers)Mialy DeFelice (2 shared papers)Keara Lane (2 shared papers)Nicolas Quach (1 shared paper)Euan A. Ashley (1 shared paper)Derek N. Macklin (1 shared paper)Yu Tanouchi (1 shared paper)
- Journals
- Molecular Biology of the Cell (1 paper)PLoS Computational Biology (1 paper)FEBS Letters (1 paper)PLoS ONE (1 paper)Science Signaling (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Inbal Maayan
6 papers receiving 451 citations
Inbal Maayan's Hit Papers
Peers
Comparison fields: 5 of 90
- Biophysics 222
- Media Technology 83
- Molecular Biology 224
- Computer Vision and Pattern Recognition 61
- Immunology 47
Countries citing papers authored by Inbal Maayan
This map shows the geographic impact of Inbal Maayan'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 Inbal Maayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inbal Maayan more than expected).
Fields of papers citing papers by Inbal Maayan
This network shows the impact of papers produced by Inbal Maayan. 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 Inbal Maayan. The network helps show where Inbal Maayan may publish in the future.
Co-authors
The 18 scholars most cited alongside Inbal Maayan, 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 | Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments Hit paper breakdown → | 2016 | 337 |
| 2 | 2019 | 46 | |
| 3 | 2008 | 26 | |
| 4 | 2012 | 24 | |
| 5 | 2009 | 13 | |
| 6 | 2018 | 10 |
About Inbal Maayan
Inbal Maayan is a scholar working on Molecular Biology, Cell Biology, Immunology, Atomic and Molecular Physics, and Optics and Media Technology, having authored 6 papers that have together received 456 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (2 papers), Immune Response and Inflammation (2 papers), Fungal and yeast genetics research (2 papers), interferon and immune responses (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Cell Image Analysis Techniques (1 paper), Protein Tyrosine Phosphatases (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (222 citations), Media Technology (83 citations), Molecular Biology (224 citations), Computer Vision and Pattern Recognition (61 citations) and Immunology (47 citations). Inbal Maayan has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Markus W. Covert, Takamasa Kudo, Mialy DeFelice, Keara Lane, Nicolas Quach, Euan A. Ashley, Derek N. Macklin, Yu Tanouchi, David Engelberg and Oded Livnah. Their work appears in journals such as Molecular Biology of the Cell, PLoS Computational Biology, FEBS Letters, PLoS ONE and Science Signaling.
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.