Heba Saadeh
Impact in
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
-
- Prenatal Screening and Diagnostics
Papers in
-
- Artificial Intelligence in Healthcare 2
- Genetics 10
- Genetic Syndromes and Imprinting 8
- Co-authors
- Gavin KelseySimon AndrewsSébastien A. SmallwoodFelix KruegerChristof AngermuellerWolf ReikJulian R. PeatOliver Stegle
- Journals
- Epigenetics & Chromatin (2 papers)Journal Of Big Data (2 papers)Clinical Epigenetics (1 paper)Nature Methods (1 paper)Frontiers in Psychiatry (1 paper)
- Partner nations
- JordanUnited KingdomJapan
In The Last Decade
Heba Saadeh
28 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.4k
- Pediatrics, Perinatology and Child Health 352
- Genetics 490
- Cancer Research 214
- Reproductive Medicine 81
Countries citing papers authored by Heba Saadeh
This map shows the geographic impact of Heba Saadeh'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 Saadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heba Saadeh more than expected).
Fields of papers citing papers by Heba Saadeh
This network shows the impact of papers produced by Heba Saadeh. 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 Saadeh. The network helps show where Heba Saadeh may publish in the future.
Co-authors
The 25 scholars most cited alongside Heba Saadeh, 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 | 2024 | 0 | |
| 2 | 2023 | 31 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 61 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 37 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 9 | |
| 12 | 2017 | 67 | |
| 13 | 2016 | 88 | |
| 14 | 2015 | 149 | |
| 15 | 2015 | 153 | |
| 16 | 2014 | 17 | |
| 17 | Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity Hit paper breakdown → | 2014 | 790 |
| 18 | 2012 | 104 | |
| 19 | 2012 | 25 | |
| 20 | An enhanced sub image matching algorithm for binary images | 2010 | 7 |
About Heba Saadeh
Heba Saadeh is a scholar working on Health Information Management, Genetics, Artificial Intelligence, Pediatrics, Perinatology and Child Health and Applied Psychology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (8 papers), Epigenetics and DNA Methylation (8 papers), Prenatal Screening and Diagnostics (4 papers), COVID-19 and Mental Health (3 papers), Cancer-related gene regulation (3 papers), Water resources management and optimization (2 papers), Artificial Intelligence in Healthcare (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Pediatrics, Perinatology and Child Health (352 citations), Genetics (490 citations), Cancer Research (214 citations) and Reproductive Medicine (81 citations). Heba Saadeh has collaborated with scholars based in Jordan, United Kingdom and Japan. Frequent co-authors include Gavin Kelsey, Simon Andrews, Sébastien A. Smallwood, Felix Krueger, Christof Angermueller, Wolf Reik, Julian R. Peat, Oliver Stegle, Heather Lee and Shin-ichi Tomizawa. Their work appears in journals such as Epigenetics & Chromatin, Journal Of Big Data, Clinical Epigenetics, Nature Methods and Frontiers in Psychiatry.
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.