Rayan Farhat

664 citations
18 papers · 504 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis C virus research
    • Cellular transport and secretion

Papers in

    • Hepatitis C virus research 5
    • Hepatitis Viruses Studies and Epidemiology 4
    • Cellular transport and secretion 5

Rayan Farhat

18 papers receiving 502 citations

Peers

Rayan Farhat
Comparison fields: 5 of 34
  • Hepatology 315
  • Cell Biology 53
  • Epidemiology 96
  • Immunology 28
  • Animal Science and Zoology 13
Replace Chao-Kuen Lai with:
Chao-Kuen Lai Taiwan
Itsuki Hamamoto Japan
Jason A. Aligo United States
Yuko Tokunaga Japan
David Delgrange France
Kathrin Hueging Germany
Mirco Glitscher Germany
Rahel Klein Germany
Chon Saeng Kim South Korea
Philippe Chouteau France
Rayan Farhat relative to Chao-Kuen Lai Taiwan Chao-Kuen Lai's profile →
Citations per field
00.5×2×4×6×8.5×
Chao-Kuen Lai · 1×
Citations per year

Countries citing papers authored by Rayan Farhat

Since Specialization
Citations

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

Fields of papers citing papers by Rayan Farhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2017168
2 201484
3 201954
4 201628
5 201726
6 202326
7 202022
8 201819
9 202116
10 201815
11 201412
12 20139
13 20219
14 20184
15 20204
16 20244
17 20243
18 20251

About Rayan Farhat

Rayan Farhat is a scholar working on Hepatology, Cell Biology, Epidemiology, Cancer Research and Immunology, having authored 18 papers that have together received 504 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Cellular transport and secretion (5 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Hepatitis B Virus Studies (3 papers), Cell death mechanisms and regulation (3 papers), NF-κB Signaling Pathways (2 papers), Immune Response and Inflammation (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Hepatology (315 citations), Cell Biology (53 citations), Epidemiology (96 citations), Immunology (28 citations) and Animal Science and Zoology (13 citations). Rayan Farhat has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Jean Dubuisson, Yves Rouillé, Laurence Cocquerel, Czeslaw Wychowski, Maliki Ankavay, Laura Riva, Costin-Ioan Popescu, Jean‐Michel Saliou, Ibrahim M. Sayed and Cécile‐Marie Aliouat‐Denis. Their work appears in journals such as Journal of Hepatology, JHEP Reports, Cellular Microbiology, Journal of General Virology and Gastroenterology.

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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