F Benna

757 citations
53 papers · 520 · h-index 11

Impact in

    • Head and Neck Cancer Studies
    • Lung Cancer Research Studies
    • Global Cancer Incidence and Screening
    • HER2/EGFR in Cancer Research

Papers in

F Benna

52 papers receiving 502 citations

Peers

F Benna
Comparison fields: 5 of 61
  • Otorhinolaryngology 40
  • Oncology 218
  • Cancer Research 85
  • Obstetrics and Gynecology 26
  • Dermatology 31
Replace Ming-Chieh Lin with:
Ming-Chieh Lin Taiwan
Gino Antonio Panizzoni Italy
Steve Heymann France
Vincenzo Picardi Italy
Re-I Chin United States
S. Andrew Peng United States
Eric Teissier France
Swee Peng Yap Singapore
Melis Gültekin Türkiye
J. Hoogenhout Netherlands
F Benna relative to Ming-Chieh Lin Taiwan Ming-Chieh Lin's profile →
Citations per field
00.5×1.5×1.9×
Ming-Chieh Lin · 1×
Citations per year

Countries citing papers authored by F Benna

Since Specialization
Citations

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

Fields of papers citing papers by F Benna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201055
2 200850
3 199140
4 200440
5 202033
6 200627
7 200419
8
Combination of chemotherapy and radiotherapy in limited small cell lung carcinoma: results of alternating schedule in 109 patients.
198817
9 201914
10 201713
11 201012
12 202111
13 200611
14 200011
15 201611
16 201510
17 202210
18 20109
19 20079
20
[Secondary head and neck osteosarcoma following treatment of undifferentiated nasopharyngeal neoplasms (UCNT)].
19979

About F Benna

F Benna is a scholar working on Oncology, Otorhinolaryngology, Genetics, Pathology and Forensic Medicine and Cancer Research, having authored 53 papers that have together received 520 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (7 papers), Breast Cancer Treatment Studies (6 papers), Cancer Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Research Studies (4 papers), Genetic factors in colorectal cancer (4 papers), Head and Neck Surgical Oncology (4 papers) and BRCA gene mutations in cancer (4 papers). The work is most often cited by research in Otorhinolaryngology (40 citations), Oncology (218 citations), Cancer Research (85 citations), Obstetrics and Gynecology (26 citations) and Dermatology (31 citations). F Benna has collaborated with scholars based in Tunisia, France and Switzerland. Frequent co-authors include Hamouda Boussen, Khaled Ben Rahal, Amor Gamoudi, Jamel Ben Hassouna, Hatem Bouzaiène, Noureddine Bouaouina, Lotfi Kochbati, Monia Hechiche, Fathi Khomsi and Hubert de Crémoux. Their work appears in journals such as Cancer Investigation, Frontiers in Genetics, Frontiers in Oncology, Radiotherapy and Oncology and Seminars in Oncology.

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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