Arwa Younis

2.5k citations
115 papers · 1.5k indexed · 2 hit papers · h-index 18

Arwa Younis

96 papers receiving 1.5k citations

Hit Papers

Burden of heart failure and underlying causes in 195 coun...3712020202620222024100200300

Peers

Arwa Younis
Comparison fields: 5 of 118
  • Cardiology and Cardiovascular Medicine 1.1k
  • Biotechnology 65
  • Health Information Management 31
  • Health Informatics 9
  • Endocrinology, Diabetes and Metabolism 110
Replace Mitchell A. Psotka with:
Mitchell A. Psotka United States
Ibadete Bytyçi Kosovo
Ping Chai Singapore
Matthew F. Yuyun United States
James P. Howard United Kingdom
Domenico Gabrielli Italy
Offer Amir Israel
Alexandra N. Nowbar United Kingdom
Yea Huei Kao Yang Taiwan
Arwa Younis relative to Mitchell A. Psotka United States Mitchell A. Psotka's profile →
Citations per field
00.5×4.6×
Mitchell A. Psotka · 1×
Citations per year

Countries citing papers authored by Arwa Younis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Arwa Younis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arwa Younis Line = papers co-authored together Arwa Younis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20245
3 202412
4 20242
5 20240
6 20230
7 20230
8 202319
9 20234
10 20225
11 20222
12 20218
13
Burden of heart failure and underlying causes in 195 countries and territories from 1990 to 2017breakdown →
2021371
14 20211
15 20201
16 20207
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 →
2020206
18 20200
19 20205
20 20195

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), Cardiac electrophysiology and arrhythmias (50 papers), Atrial Fibrillation Management and Outcomes (31 papers), Cardiovascular Effects of Exercise (8 papers), Acute Myocardial Infarction Research (7 papers), Cardiovascular Function and Risk Factors (6 papers) and Heart Failure Treatment and Management (6 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.

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