Ibrahim Ayada

864 citations
21 papers · 548 indexed · 1 hit paper · h-index 12

Ibrahim Ayada

19 papers receiving 541 citations

Hit Papers

Estimating Global Prevalence of Metabolic Dysfunction-Ass...14720212026202220244080120

Peers

Ibrahim Ayada
Comparison fields: 5 of 74
  • Hepatology 151
  • Epidemiology 393
  • Endocrinology, Diabetes and Metabolism 163
  • Virology 23
  • Pathology and Forensic Medicine 82
Replace Johannie du Plessis with:
Johannie du Plessis Belgium
Pierre M. Gholam United States
Amanda Wieland United States
Junqi Niu China
Esmat Ashour Egypt
Plácida Baz Argentina
Ahmed Abu-Shanab Ireland
Denise Cerqueira Paranaguá‐Vezozzo Brazil
Somaya Albhaisi United States
Cristina Muzîca Romania
Ibrahim Ayada relative to Johannie du Plessis Belgium Johannie du Plessis's profile →
Citations per field
00.5×3.4×
Johannie du Plessis · 1×
Citations per year

Countries citing papers authored by Ibrahim Ayada

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Ayada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20242
5 20242
6 20245
7 202327
8 202318
9 202313
10 202220
11 202266
12 202223
13
Estimating Global Prevalence of Metabolic Dysfunction-Associated Fatty Liver Disease in Overweight or Obese Adultsbreakdown →
2021147
14 202177
15 202162
16 202126
17 20209
18 201915
19 20191
20 201533

About Ibrahim Ayada

Ibrahim Ayada is a scholar working on Hepatology, Epidemiology, Endocrinology, Diabetes and Metabolism, Virology and Sensory Systems, having authored 21 papers that have together received 548 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Diet, Metabolism, and Disease (5 papers), Inflammatory Bowel Disease (4 papers), Alcohol Consumption and Health Effects (3 papers), Liver Disease and Transplantation (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Hepatitis C virus research (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Hepatology (151 citations), Epidemiology (393 citations), Endocrinology, Diabetes and Metabolism (163 citations), Virology (23 citations) and Pathology and Forensic Medicine (82 citations). Ibrahim Ayada has collaborated with scholars based in Netherlands, China and United Kingdom. Frequent co-authors include Qiuwei Pan, Robert J. de Knegt, Laurens A. van Kleef, Louise J. M. Alferink, Pengfei Li, Maikel P. Peppelenbosch, Mohsen Ghanbari, Jiaye Liu, Wanlu Cao and Marco J. Bruno. Their work appears in journals such as Liver International, Hepatology, Hepatology Communications, Journal of Hepatology and Clinical Gastroenterology and Hepatology.

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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