Maha Abdellatif
- Molecular Biology top 1%
- Cancer Research top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Epidemiology top 2%
- Surgery top 5%
- Co-authors
- Danish SayedJunichi SadoshimaJacqueline LypowyMinzhen HeChull HongHideyuki SakodaHiromitsu TakagiXueping Qu
- Topics
- MicroRNA in disease regulation (16 papers)RNA Research and Splicing (15 papers)RNA modifications and cancer (10 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Maha Abdellatif
66 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 5.4k
- Cancer Research 2.9k
- Cardiology and Cardiovascular Medicine 1.5k
- Epidemiology 1.4k
- Surgery 614
Countries citing papers authored by Maha Abdellatif
This map shows the geographic impact of Maha Abdellatif'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 Maha Abdellatif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Abdellatif more than expected).
Fields of papers citing papers by Maha Abdellatif
This network shows the impact of papers produced by Maha Abdellatif. 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 Maha Abdellatif. The network helps show where Maha Abdellatif may publish in the future.
Co-authorship network of co-authors of Maha Abdellatif
This figure shows the co-authorship network connecting the top 25 collaborators of Maha Abdellatif. A scholar is included among the top collaborators of Maha Abdellatif based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maha Abdellatif. Maha Abdellatif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 47 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 184 | |
| 6 | 37 | |
| 7 | 5 | |
| 8 | 48 | |
| 9 | Abstract 3010: MiRNA-26 Plays Essential Role in Myocyte Survival and Hypertrophy by Regulating GATA4 | 2 |
| 10 | Abstract 2635: Phosphorylation of Ryanodine Receptor by Both PKA and CAMKII is Required for Induction of Arrhythmogenic Disturbances in Myocyte Ca Cycling Caused by miR-1 | 1 |
| 11 | 28 | |
| 12 | 35 | |
| 13 | 6 | |
| 14 | Distinct Roles of Autophagy in the Heart During Ischemia and Reperfusionbreakdown → | 1284 |
| 15 | 81 | |
| 16 | 42 | |
| 17 | 59 | |
| 18 | 63 | |
| 19 | 169 | |
| 20 | 1 |
About Maha Abdellatif
Maha Abdellatif is a scholar working on Cancer Research, Molecular Biology and Geriatrics and Gerontology, having authored 67 papers that have together received 7.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), RNA Research and Splicing (15 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Cancer Research (2.9k citations), Molecular Biology (5.4k citations) and Geriatrics and Gerontology (291 citations). Maha Abdellatif has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Danish Sayed, Junichi Sadoshima, Jacqueline Lypowy, Minzhen He, Chull Hong, Hideyuki Sakoda, Hiromitsu Takagi, Xueping Qu, Tomoichiro Asano and Yutaka Matsui. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.