Ramy El–Diwany

908 citations
14 papers · 703 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Ramy El–Diwany

14 papers receiving 694 citations

Peers

Ramy El–Diwany
Comparison fields: 5 of 78
  • Hepatology 197
  • Immunology 207
  • Virology 46
  • Cancer Research 74
  • Epidemiology 161
Replace Takuya Matsumura with:
Takuya Matsumura Japan
Julia Benckert Germany
Michiel C. Mommersteeg Netherlands
Michelle Tsang Mui Chung United States
Carine Brinster France
Amanda Goodsell United States
Paula J. Biesta Netherlands
Junji Shibata Japan
Yoshihiro Furuichi Japan
Adam Mumy United States
Ramy El–Diwany relative to Takuya Matsumura Japan Takuya Matsumura's profile →
Citations per field
00.5×2×3.4×
Takuya Matsumura · 1×
Citations per year

Countries citing papers authored by Ramy El–Diwany

Since Specialization
Citations

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

Fields of papers citing papers by Ramy El–Diwany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramy El–Diwany. 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 Ramy El–Diwany. The network helps show where Ramy El–Diwany may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019152
2 2005150
3 201476
4 201775
5 201856
6 201046
7 201743
8 202135
9 201626
10 201518
11 201711
12 20219
13 20144
14 20212

About Ramy El–Diwany

Ramy El–Diwany is a scholar working on Hepatology, Virology, Immunology, Cancer Research and Epidemiology, having authored 14 papers that have together received 703 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Immune Cell Function and Interaction (4 papers), HIV Research and Treatment (3 papers), Hepatitis B Virus Studies (2 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), MicroRNA in disease regulation (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Hepatology (197 citations), Immunology (207 citations), Virology (46 citations), Cancer Research (74 citations) and Epidemiology (161 citations). Ramy El–Diwany has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Aslam M. Ejaz, Timothy Michael Pawlik, Stuart C. Ray, Justin R. Bailey, Yueh‐hsiu Chien, Erin J. Adams, Pablo Pereira, Sunny Shin, K. Christopher García and Steven A. Schaffert. Their work appears in journals such as Journal of Virology, Clinical Infectious Diseases, PLoS Pathogens, Antiviral Therapy and Nature Communications.

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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