Shima Arab
Impact in
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- Cardiac Fibrosis and Remodeling
- Molecular Biology top 10%
- Congenital heart defects research
- Pluripotent Stem Cells Research
- Signaling Pathways in Disease
Papers in
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- Signaling Pathways in Disease 2
- RNA Interference and Gene Delivery 1
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- Cardiac Fibrosis and Remodeling 3
- Co-authors
- Bernhard Kühn (4 shared papers)Kevin Bersell (2 shared papers)Bernhard Haring (1 shared paper)Yuh-Shin Chang (1 shared paper)Djamel Lebeche (1 shared paper)Mark T. Keating (1 shared paper)Federica del Monte (1 shared paper)Roger J. Hajjar (1 shared paper)
- Journals
- Nature Medicine (1 paper)Cell (1 paper)PLoS ONE (1 paper)Disease Models & Mechanisms (1 paper)Revista Brasileira Ginecologia e Obstetrícia (1 paper)
- Partner nations
- United StatesIran
In The Last Decade
Shima Arab
5 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Cardiology and Cardiovascular Medicine 536
- Molecular Biology 1.0k
- Surgery 558
- Biomaterials 137
- Cancer Research 96
Countries citing papers authored by Shima Arab
This map shows the geographic impact of Shima Arab'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 Shima Arab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shima Arab more than expected).
Fields of papers citing papers by Shima Arab
This network shows the impact of papers produced by Shima Arab. 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 Shima Arab. The network helps show where Shima Arab may publish in the future.
Co-authors
The 14 scholars most cited alongside Shima Arab, 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 | Neuregulin1/ErbB4 Signaling Induces Cardiomyocyte Proliferation and Repair of Heart Injury Hit paper breakdown → | 2009 | 741 |
| 2 | Periostin induces proliferation of differentiated cardiomyocytes and promotes cardiac repair Hit paper breakdown → | 2007 | 501 |
| 3 | 2013 | 118 | |
| 4 | 2012 | 37 | |
| 5 | 2021 | 4 | |
| 6 | 2023 | 0 |
About Shima Arab
Shima Arab is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Emergency Medical Services and Epidemiology, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (3 papers), Signaling Pathways in Disease (2 papers), Cleft Lip and Palate Research (1 paper), Emergency and Acute Care Studies (1 paper), Hospital Admissions and Outcomes (1 paper), Tissue Engineering and Regenerative Medicine (1 paper), RNA Interference and Gene Delivery (1 paper) and Healthcare Operations and Scheduling Optimization (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (536 citations), Molecular Biology (1.0k citations), Surgery (558 citations), Biomaterials (137 citations) and Cancer Research (96 citations). Shima Arab has collaborated with scholars based in United States and Iran. Frequent co-authors include Bernhard Kühn, Kevin Bersell, Bernhard Haring, Yuh-Shin Chang, Djamel Lebeche, Mark T. Keating, Federica del Monte, Roger J. Hajjar, Brian D. Polizzotti and Balakrishnan Ganapathy. Their work appears in journals such as Nature Medicine, Cell, PLoS ONE, Disease Models & Mechanisms and Revista Brasileira Ginecologia e Obstetrícia.
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.