M. Kacem

24 papers receiving 386 citations

Peers

M. Kacem
Comparison fields: 5 of 56
  • Nephrology 36
  • Endocrinology, Diabetes and Metabolism 75
  • Ophthalmology 22
  • Genetics 69
  • Cardiology and Cardiovascular Medicine 49
Replace Intissar Ezzidi with:
Intissar Ezzidi Tunisia
Pernille M. Hansen Denmark
Marc Stahel Switzerland
Maki Kumada Japan
Kiriko Wada Japan
Cornelia Keller Switzerland
Haidy E. Zidan Egypt
O Weiss Israel
A Hayward United Kingdom
Pedram Daraei United States
M. Kacem relative to Intissar Ezzidi Tunisia Intissar Ezzidi's profile →
Citations per field
00.5×1.5×
Intissar Ezzidi · 1×
Citations per year

Countries citing papers authored by M. Kacem

Since Specialization
Citations

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

Fields of papers citing papers by M. Kacem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200877
2 200969
3 200842
4 200731
5 200831
6 201030
7 201029
8 200927
9 200920
10
Quality of Life and Work Productivity Impairment of Patients with Allergic Occupational Rhinitis.
201914
11 20218
12 20115
13 20213
14 20083
15 20232
16 20202
17 20212
18
[Disposal of insulin syringes by diabetic patients. Report of 100 patients].
20052
19 20162
20
Predictive value of interleukin-10 promoter genotypes and haplotypes in determining the susceptibility to nephropathy in type 2 diabetes patients
20091

About M. Kacem

M. Kacem is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Epidemiology and Molecular Biology, having authored 29 papers that have together received 405 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Diabetes Management and Research (3 papers), Diabetes and associated disorders (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Celiac Disease Research and Management (2 papers), Adrenal Hormones and Disorders (2 papers), Diagnosis and treatment of tuberculosis (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Nephrology (36 citations), Endocrinology, Diabetes and Metabolism (75 citations), Ophthalmology (22 citations), Genetics (69 citations) and Cardiology and Cardiovascular Medicine (49 citations). M. Kacem has collaborated with scholars based in Tunisia, Bahrain and France. Frequent co-authors include Touhami Mahjoub, Wassim Y. Almawi, Intissar Ezzidi, Nabil Mtiraoui, Molka Chaieb, Ghada Al-Khateeb, Aurélie Dechaume, Emmanuel Vaillant, Philippe Froguel and Martine Vaxillaire. Their work appears in journals such as Clinical Endocrinology, Diabetes & Metabolism, Diabetes/Metabolism Research and Reviews, Biochemical and Biophysical Research Communications and Journal of Diabetes and its Complications.

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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