Farhat Ben Ayed

1.6k citations
54 papers · 1.2k indexed · h-index 17

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Viral-associated cancers and disorders

Papers in

    • HER2/EGFR in Cancer Research 5
    • Cancer Diagnosis and Treatment 4
    • Cancer Immunotherapy and Biomarkers 3
    • Breast Cancer Treatment Studies 7

Farhat Ben Ayed

53 papers receiving 1.2k citations

Peers

Farhat Ben Ayed
Comparison fields: 5 of 98
  • Cancer Research 382
  • Oncology 594
  • Genetics 271
  • Otorhinolaryngology 42
  • Pathology and Forensic Medicine 170
Replace Slim Ben Ahmed with:
Slim Ben Ahmed Tunisia
Zakaria Einbeigi Sweden
Pedro Pérez‐Segura Spain
Takashi Sakatani Japan
A.G.J. van der Zee Netherlands
Iván Díaz-Padilla United States
Petra Kristel Netherlands
Petros Tsantoulis Switzerland
Margaret M. Kozak United States
Gian Luigi Cetto Italy
Farhat Ben Ayed relative to Slim Ben Ahmed Tunisia Slim Ben Ahmed's profile →
Citations per field
00.5×3.2×
Slim Ben Ahmed · 1×
Citations per year

Countries citing papers authored by Farhat Ben Ayed

Since Specialization
Citations

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

Fields of papers citing papers by Farhat Ben Ayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003145
2 2018142
3 2010123
4 2001110
5 200767
6 200665
7 200747
8 200641
9 202132
10 200731
11 200530
12 200929
13 200128
14 200825
15 201222
16 200620
17 200417
18 200616
19 201316
20 200715

About Farhat Ben Ayed

Farhat Ben Ayed is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Genetics and Genetics, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), HER2/EGFR in Cancer Research (5 papers), BRCA gene mutations in cancer (5 papers), Cancer Diagnosis and Treatment (4 papers), Genetic factors in colorectal cancer (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (382 citations), Oncology (594 citations), Genetics (271 citations), Otorhinolaryngology (42 citations) and Pathology and Forensic Medicine (170 citations). Farhat Ben Ayed has collaborated with scholars based in Tunisia, France and United States. Frequent co-authors include Soumaya Kouidhi, Amel Benammar Elgaaïed, Carsten Rose, Amel Ben Ammar Elgaaïed, Patrice Viens, Khaled Ben Romdhane, Amel Mézlini, Lotfi Chouchane, Helena Gervásio and A Płużańska. Their work appears in journals such as Journal of Thoracic Oncology, Frontiers in Immunology, European Journal of Cancer, Molecules and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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