Emir Yonas

1.5k citations
48 papers · 964 indexed · h-index 17

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

Emir Yonas

43 papers receiving 944 citations

Peers

Emir Yonas
Comparison fields: 5 of 97
  • Infectious Diseases 435
  • Neurology 289
  • Critical Care and Intensive Care Medicine 79
  • Geriatrics and Gerontology 59
  • Cardiology and Cardiovascular Medicine 237
Replace Antonia Anna Lukito with:
Antonia Anna Lukito Indonesia
Carlo Nozzoli Italy
Raden Ayu Tuty Kuswardhani Indonesia
Frank Volpicelli United States
María Gabriela Acuña Chong Ecuador
Joshua Henrina Indonesia
Benedetta Simeoni Italy
Lindy S. Klaff United States
Beth Hochman United States
Umur Hatipoğlu United States
Emir Yonas relative to Antonia Anna Lukito Indonesia Antonia Anna Lukito's profile →
Citations per field
00.5×1.5×1.8×
Antonia Anna Lukito · 1×
Citations per year

Countries citing papers authored by Emir Yonas

Since Specialization
Citations

This map shows the geographic impact of Emir Yonas'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 Emir Yonas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emir Yonas more than expected).

Fields of papers citing papers by Emir Yonas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emir Yonas. 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 Emir Yonas. The network helps show where Emir Yonas may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Emir Yonas, 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 Emir Yonas Line = papers co-authored together Emir Yonas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20233
4 20232
5 202127
6 20207
7 2020101
8 202010
9 202022
10 20201
11 202049
12 202084
13 20206
14 20195
15 20191
16 201916
17 20193
18 20196
19 201935
20 20195

About Emir Yonas

Emir Yonas is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, Infectious Diseases, Neurology and Metals and Alloys, having authored 48 papers that have together received 964 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Cardiac Arrhythmias and Treatments (9 papers), Cardiac electrophysiology and arrhythmias (7 papers), Atrial Fibrillation Management and Outcomes (6 papers), Cardiovascular Function and Risk Factors (6 papers), COVID-19 and healthcare impacts (6 papers), Long-Term Effects of COVID-19 (6 papers) and Cardiac pacing and defibrillation studies (5 papers). The work is most often cited by research in Infectious Diseases (435 citations), Neurology (289 citations), Critical Care and Intensive Care Medicine (79 citations), Geriatrics and Gerontology (59 citations) and Cardiology and Cardiovascular Medicine (237 citations). Emir Yonas has collaborated with scholars based in Indonesia, South Korea and Netherlands. Frequent co-authors include Raymond Pranata, Michael Anthonius Lim, Rachel Vania, Ian Huang, Bambang Budi Siswanto, Antonia Anna Lukito, Raden Ayu Tuty Kuswardhani, Rudi Supriyadi, Joshua Henrina and Idrus Alwi. Their work appears in journals such as Archives of Gerontology and Geriatrics, Annals of Noninvasive Electrocardiology, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Global Heart and Diabetes & Metabolism.

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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