Ayman Ibrahim

1.1k citations
22 papers · 848 · h-index 16

Impact in

Papers in

    • Liver Disease and Transplantation 5
    • Hepatitis C virus research 4
    • Liver Disease Diagnosis and Treatment 4
    • Hepatitis B Virus Studies 2

Ayman Ibrahim

22 papers receiving 834 citations

Peers

Ayman Ibrahim
Comparison fields: 5 of 98
  • Hepatology 216
  • Transplantation 35
  • Nutrition and Dietetics 132
  • Cancer Research 78
  • Oncology 127
Replace Ralf Bahde with:
Ralf Bahde Germany
Raffaele Cursio France
Eduardo E. Montalvo‐Javé Mexico
Tetsuya Yasunaka Japan
Denise Kalmaz United States
Emanuele Bendia Italy
Qinghua Meng China
A. W. Mondorf Germany
Justin D. Ellett United States
Manuel I. Doria United States
Ayman Ibrahim relative to Ralf Bahde Germany Ralf Bahde's profile →
Citations per field
00.5×2.8×
Ralf Bahde · 1×
Citations per year

Countries citing papers authored by Ayman Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Ayman Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 2014108
3 200596
4 201195
5 200768
6 200353
7 201650
8 200734
9 201630
10 201229
11 201023
12 200522
13 201019
14 200316
15 201416
16 200915
17
The MELD score in advanced liver disease: association with clinical portal hypertension and mortality.
200613
18 20086
19 20166
20 20043

About Ayman Ibrahim

Ayman Ibrahim is a scholar working on Hepatology, Epidemiology, Pulmonary and Respiratory Medicine, Oncology and Nutrition and Dietetics, having authored 22 papers that have together received 848 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis C virus research (4 papers), Cancer Treatment and Pharmacology (3 papers), Fatty Acid Research and Health (2 papers), Hepatitis B Virus Studies (2 papers), Oral health in cancer treatment (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Hepatology (216 citations), Transplantation (35 citations), Nutrition and Dietetics (132 citations), Cancer Research (78 citations) and Oncology (127 citations). Ayman Ibrahim has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Pierre Déchelotte, Moı̈se Coëffier, Sammy Saab, Aktham Hassan, Rachel Marion‐Letellier, Guillaume Savoye, Khaly Mbodji, Francisco Durazo, Ronald W. Busuttil and Douglas G. Farmer. Their work appears in journals such as Journal of Clinical Oncology, Liver Transplantation, Journal of Nutrition, American Journal of Transplantation and Clinical Breast Cancer.

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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