K. Ayed

1.6k citations
93 papers · 1.3k · h-index 19

Impact in

Papers in

    • T-cell and B-cell Immunology 11
    • Complement system in diseases 9
    • Systemic Lupus Erythematosus Research 22

K. Ayed

88 papers receiving 1.2k citations

Peers

K. Ayed
Comparison fields: 5 of 71
  • Ophthalmology 388
  • Rheumatology 327
  • Immunology 361
  • Hematology 177
  • Transplantation 41
Replace Maxime Touzot with:
Maxime Touzot France
Léa Savey France
P. T. Klouda United Kingdom
Syuichi Koarada Japan
Ibtissem Ghédira Tunisia
S. Trad France
Evelyne T. Edwards United States
I. Wichmann Spain
Wolfgang Emminger Austria
Valentina Querci Italy
K. Ayed relative to Maxime Touzot France Maxime Touzot's profile →
Citations per field
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Maxime Touzot · 1×
Citations per year

Countries citing papers authored by K. Ayed

Since Specialization
Citations

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

Fields of papers citing papers by K. Ayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002284
2
Phenotype and functional profile of T cells expressing gamma delta receptor from patients with active Behçet's disease.
199467
3 200466
4 199061
5
Natural killer cells in Behçet's disease.
198844
6 200032
7 200830
8 200129
9 200729
10 200627
11 201326
12
Role of immune system, apoptosis and angiogenesis in pathogenesis of rheumatoid arthritis and joint destruction, a systematic review.
200725
13 200625
14 200323
15 200922
16 200221
17 200921
18 200920
19 201118
20 199018

About K. Ayed

K. Ayed is a scholar working on Immunology, Rheumatology, Epidemiology, Genetics and Hematology, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (22 papers), Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (11 papers), Ocular Diseases and Behçet’s Syndrome (11 papers), T-cell and B-cell Immunology (11 papers), Diabetes and associated disorders (9 papers), Complement system in diseases (9 papers) and Renal Transplantation Outcomes and Treatments (8 papers). The work is most often cited by research in Ophthalmology (388 citations), Rheumatology (327 citations), Immunology (361 citations), Hematology (177 citations) and Transplantation (41 citations). K. Ayed has collaborated with scholars based in Tunisia, France and Poland. Frequent co-authors include Kamel Hamzaoui, A. Hamzaoui, M'Hamed Hamza, Yousr Gorgi, Fethi Guémira, Imen Sfar, M Hamza, T. Ben Abdallah, R. Bardi and J.L. Touraine. Their work appears in journals such as Journal of Translational Medicine, Journal of Immunological Methods, Clinical & Experimental Immunology, World Journal of Gastroenterology and Journal of Neuroimmunology.

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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