Magdy Elkashab

1.6k citations
18 papers · 1.0k indexed · 1 hit paper · h-index 10

Magdy Elkashab

18 papers receiving 1.0k citations

Hit Papers

Feasibility and Diagnostic Performance of the Fibroscan X...3892011202620162021100200300

Peers

Magdy Elkashab
Comparison fields: 5 of 54
  • Hepatology 686
  • Epidemiology 944
  • Endocrinology, Diabetes and Metabolism 161
  • Animal Science and Zoology 44
  • Pathology and Forensic Medicine 61
Replace Henry Lik-Yuen Chan with:
Henry Lik-Yuen Chan Hong Kong
Emily Rizo United States
William Haufe United States
Larysa Fedchuk France
V. Cartier France
Hidekatsu Kuroda Japan
Amaury Mouries France
Brandon Ang United States
I. Fouchard‐Hubert France
O Inoue Japan
Magdy Elkashab relative to Henry Lik-Yuen Chan Hong Kong Henry Lik-Yuen Chan's profile →
Citations per field
00.5×1.5×
Henry Lik-Yuen Chan · 1×
Citations per year

Countries citing papers authored by Magdy Elkashab

Since Specialization
Citations

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

Fields of papers citing papers by Magdy Elkashab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 201813
2 20161
3 20154
4 20146
5 201220
6 2012270
7
Feasibility and Diagnostic Performance of the Fibroscan XL Probe for Liver Stiffness Measurement in Overweight and Obese Patientsbreakdown →
2011389
8 2011108
9 20119
10 20113
11 20119
12 201058
13 201076
14
Impact of Advanced Fibrosis and Cirrhosis on Sustained Virologic Response of HCV G1-Infected Patients: Results of The Canadian POWeR Program
20082
15 200618
16
Incidence and patterns of rejection using different induction therapies in liver transplant recipients.
19945
17 19919
18 199024

About Magdy Elkashab

Magdy Elkashab is a scholar working on Hepatology, Epidemiology and Transplantation, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Hepatitis C virus research (10 papers), Hepatitis B Virus Studies (7 papers), Liver Diseases and Immunity (4 papers), Liver Disease and Transplantation (3 papers), Immune Cell Function and Interaction (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Hepatology (686 citations), Epidemiology (944 citations) and Endocrinology, Diabetes and Metabolism (161 citations). Magdy Elkashab has collaborated with scholars based in Canada, United States and Romania. Frequent co-authors include Robert P. Myers, Gilles Pomier–Layrargues, Pam Crotty, Melanie Beaton, Andrés Duarte‐Rojo, Richard Kirsch, Aaron Pollett, Mark Levstik, David Wong and David T. Wong. Their work appears in journals such as SHILAP Revista de lepidopterología, Hepatology and Journal of 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026