Maha Abdellatif
- Cancer Research top 0.5%
- MicroRNA in disease regulation 16
- Molecular Biology top 1%
- RNA Research and Splicing 15
- RNA modifications and cancer 10
- Circular RNAs in diseases 7
- Signaling Pathways in Disease 6
- Geriatrics and Gerontology top 1%
-
- Cardiomyopathy and Myosin Studies 7
- Physiology top 1%
- Adipose Tissue and Metabolism 8
-
- Autophagy in Disease and Therapy 6
- Co-authors
- Danish SayedJunichi SadoshimaJacqueline LypowyMinzhen HeChull HongHideyuki SakodaHiromitsu TakagiXueping Qu
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Maha Abdellatif
66 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Cancer Research 2.9k
- Molecular Biology 5.4k
- Geriatrics and Gerontology 291
- Cardiology and Cardiovascular Medicine 1.5k
- Physiology 218
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
The 25 scholars most cited alongside Maha Abdellatif, 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 | 2 | |
| 2 | 2023 | 47 | |
| 3 | 2020 | 12 | |
| 4 | 2019 | 13 | |
| 5 | 2015 | 184 | |
| 6 | 2012 | 37 | |
| 7 | 2011 | 5 | |
| 8 | 2010 | 48 | |
| 9 | Abstract 3010: MiRNA-26 Plays Essential Role in Myocyte Survival and Hypertrophy by Regulating GATA4 | 2009 | 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 | 2009 | 1 |
| 11 | 2008 | 28 | |
| 12 | 2008 | 35 | |
| 13 | 2008 | 6 | |
| 14 | Distinct Roles of Autophagy in the Heart During Ischemia and Reperfusionbreakdown → | 2007 | 1284 |
| 15 | 2006 | 81 | |
| 16 | 2005 | 42 | |
| 17 | 2000 | 59 | |
| 18 | 1998 | 63 | |
| 19 | 1997 | 169 | |
| 20 | 1978 | 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), RNA modifications and cancer (10 papers), Adipose Tissue and Metabolism (8 papers), Cardiomyopathy and Myosin Studies (7 papers), Circular RNAs in diseases (7 papers), Autophagy in Disease and Therapy (6 papers) and Signaling Pathways in Disease (6 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.
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.