F. Chentli

709 citations
54 papers · 314 · h-index 9

Impact in

    • Pituitary Gland Disorders and Treatments
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Growth Hormone and Insulin-like Growth Factors
    • Diabetes Management and Education
    • Diabetes Management and Research
    • Glioma Diagnosis and Treatment

Papers in

F. Chentli

40 papers receiving 304 citations

Peers

F. Chentli
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 189
  • Genetics 27
  • Physiology 54
  • Health Information Management 8
  • Aging 3
Replace Ali Tootee with:
Ali Tootee Iran
Viveka P. Jyotsna India
Filipe Cunha Portugal
Vincenzo Salpietro Italy
M. Lombardo Italy
Serdar Şahin Türkiye
F Valente Italy
Todd B. Kaye United States
Suzana Nesi-França Brazil
Tracy L. Breen United States
F. Chentli relative to Ali Tootee Iran Ali Tootee's profile →
Citations per field
00.5×2.7×
Ali Tootee · 1×
Citations per year

Countries citing papers authored by F. Chentli

Since Specialization
Citations

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

Fields of papers citing papers by F. Chentli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside F. 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 F. Chentli Line = papers co-authored together F. Chentli 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 2015134
2 201520
3 201618
4 201314
5 201411
6 201611
7 201210
8 201210
9 20138
10 20127
11 20136
12 20155
13 20145
14 20135
15
Diabetes mellitus and Ramadan in elderly patients.
20155
16 20154
17 20174
18 20133
19 20173
20 20123

About F. Chentli

F. Chentli is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Neurology, Physiology and Genetics, having authored 54 papers that have together received 314 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (18 papers), Adrenal and Paraganglionic Tumors (11 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Thyroid Disorders and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Dietary Effects on Health (4 papers), Glioma Diagnosis and Treatment (4 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Genetics (27 citations), Physiology (54 citations), Health Information Management (8 citations) and Aging (3 citations). F. Chentli has collaborated with scholars based in Algeria, United Arab Emirates and Saudi Arabia. Frequent co-authors include S. Azzoug, Salem Beshyah, S Jambart, Amir H. Hamrahian, Hussein Raef, Syed Ali Raza, Mahmoud Benbarka and Mehdi Djelloul. Their work appears in journals such as Annales d Endocrinologie, Pituitary, Hormone Research in Paediatrics, European Journal of Endocrinology and Journal of Pediatric Endocrinology and Metabolism.

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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