Farida Chentli

728 citations
49 papers · 523 · h-index 10

Impact in

Papers in

Farida Chentli

39 papers receiving 506 citations

Peers

Farida Chentli
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 344
  • Genetics 54
  • Surgery 117
  • Epidemiology 78
  • Neurology 33
Replace Betina Biagetti with:
Betina Biagetti Spain
Monica Gola Italy
Myriam Rosilio France
Rocío Villar‐Taibo Spain
Dima Kamal Abdelmannan United States
Lucia Tarantino Italy
Mark Gruppetta Malta
Gloria Appolloni Italy
Marcia Khaled Puñales Brazil
Senay Molvalilar Türkiye
Farida Chentli relative to Betina Biagetti Spain Betina Biagetti's profile →
Citations per field
00.5×2×4×6.6×
Betina Biagetti · 1×
Citations per year

Countries citing papers authored by Farida Chentli

Since Specialization
Citations

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

Fields of papers citing papers by Farida Chentli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Farida Chentli, 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 Farida Chentli Line = papers co-authored together Farida Chentli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015144
2 2015134
3 202050
4 201523
5 201619
6 201414
7 201314
8 201212
9 201612
10 201210
11 20127
12 20137
13 20136
14 20156
15 20156
16 20155
17 20135
18
Diabetes mellitus and Ramadan in elderly patients.
20155
19 20135
20 20145

About Farida Chentli

Farida Chentli is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Rheumatology, Neurology and Surgery, having authored 49 papers that have together received 523 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (16 papers), Adrenal and Paraganglionic Tumors (7 papers), Dietary Effects on Health (4 papers), Thyroid Disorders and Treatments (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Neuroblastoma Research and Treatments (3 papers), Ophthalmology and Eye Disorders (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (344 citations), Genetics (54 citations), Surgery (117 citations), Epidemiology (78 citations) and Neurology (33 citations). Farida Chentli has collaborated with scholars based in Algeria, United Arab Emirates and United Kingdom. Frequent co-authors include Said Azzoug, SALEM A. BESHYAH, Hussein Raef, S Jambart, Amir Hekmat Hamrahian, Mahmoud Benbarka, Syed Ali Raza and Mehdi Djelloul. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annales d Endocrinologie, Pituitary, European Journal of Endocrinology and Hormone Research in Paediatrics.

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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