Heba Sailem
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
- Biophysics 16
- Cell Image Analysis Techniques 16
- Advanced Fluorescence Microscopy Techniques 4
-
- Image Processing Techniques and Applications 4
- Co-authors
- Chris BakalJulia SeroMar Arias-GarcíaRico Chandra ArdyTongli ZhangJens RittscherSam CooperZheng Yin
- Journals
- SLAS DISCOVERY (2 papers)Molecular Systems Biology (2 papers)Molecular BioSystems (2 papers)Scientific Reports (1 paper)PLoS Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Heba Sailem
26 papers receiving 654 citations
Peers
Comparison fields: 5 of 97
- Biophysics 259
- Cell Biology 178
- Media Technology 58
- Immunology and Allergy 30
- Cancer Research 73
Countries citing papers authored by Heba Sailem
This map shows the geographic impact of Heba Sailem'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 Heba Sailem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heba Sailem more than expected).
Fields of papers citing papers by Heba Sailem
This network shows the impact of papers produced by Heba Sailem. 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 Heba Sailem. The network helps show where Heba Sailem may publish in the future.
Co-authors
The 25 scholars most cited alongside Heba Sailem, 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 | 2023 | 19 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2017 | 54 | |
| 13 | 2016 | 10 | |
| 14 | 2016 | 11 | |
| 15 | 2016 | 94 | |
| 16 | 2016 | 24 | |
| 17 | 2015 | 101 | |
| 18 | 2015 | 33 | |
| 19 | 2013 | 137 | |
| 20 | 2012 | 6 |
About Heba Sailem
Heba Sailem is a scholar working on Biophysics, Media Technology, Cell Biology, Molecular Biology and Modeling and Simulation, having authored 26 papers that have together received 662 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (16 papers), Single-cell and spatial transcriptomics (7 papers), Cellular Mechanics and Interactions (6 papers), AI in cancer detection (5 papers), Bioinformatics and Genomic Networks (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Image Processing Techniques and Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Biophysics (259 citations), Cell Biology (178 citations), Media Technology (58 citations), Immunology and Allergy (30 citations) and Cancer Research (73 citations). Heba Sailem has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Chris Bakal, Julia Sero, Mar Arias-García, Rico Chandra Ardy, Tongli Zhang, Jens Rittscher, Sam Cooper, Zheng Yin, Christopher J. Tape and Faraz K. Mardakheh. Their work appears in journals such as SLAS DISCOVERY, Molecular Systems Biology, Molecular BioSystems, Scientific Reports and PLoS Medicine.
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.