Arwa Younis
- Cardiology and Cardiovascular Medicine top 2%
- Surgery
- Epidemiology
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Nicola Luigi BragazziHaijiang DaiArsalan Abu‐MuchJingxian ShuWen ZhongDor LotanAvishay GrupperIlan Goldenberg
- Topics
- Cardiac Arrhythmias and Treatments (59 papers)Cardiac pacing and defibrillation studies (50 papers)Cardiac electrophysiology and arrhythmias (50 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Arwa Younis
96 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 167
- Epidemiology 135
- Molecular Biology 132
- Endocrinology, Diabetes and Metabolism 110
Countries citing papers authored by Arwa Younis
This map shows the geographic impact of Arwa Younis'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 Arwa Younis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arwa Younis more than expected).
Fields of papers citing papers by Arwa Younis
This network shows the impact of papers produced by Arwa Younis. 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 Arwa Younis. The network helps show where Arwa Younis may publish in the future.
Co-authorship network of co-authors of Arwa Younis
This figure shows the co-authorship network connecting the top 25 collaborators of Arwa Younis. A scholar is included among the top collaborators of Arwa Younis 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 Arwa Younis. Arwa Younis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 19 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | Burden of heart failure and underlying causes in 195 countries and territories from 1990 to 2017breakdown → | 371 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | Global, regional, and national burden of ischaemic heart disease and its attributable risk factors, 1990–2017: results from the Global Burden of Disease Study 2017breakdown → | 206 |
| 18 | 0 | |
| 19 | 5 | |
| 20 | 5 |
About Arwa Younis
Arwa Younis is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Health Informatics, having authored 115 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (59 papers), Cardiac pacing and defibrillation studies (50 papers) and Cardiac electrophysiology and arrhythmias (50 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Biotechnology (65 citations) and Health Information Management (31 citations). Arwa Younis has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Nicola Luigi Bragazzi, Haijiang Dai, Arsalan Abu‐Much, Jingxian Shu, Wen Zhong, Dor Lotan, Avishay Grupper, Ilan Goldenberg, Xinyao Liu and Jakub Sroubek. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.