Fethi Guémira

1.2k citations
54 papers · 1.0k indexed · h-index 12

Impact in

    • Ocular Diseases and Behçet’s Syndrome
  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research

Papers in

Fethi Guémira

50 papers receiving 1.0k citations

Peers

Fethi Guémira
Comparison fields: 5 of 82
  • Ophthalmology 230
  • Hematology 189
  • Immunology 331
  • Cancer Research 209
  • Rheumatology 165
Replace Jean Marc Durand with:
Jean Marc Durand France
Francesca Moretta Italy
Adam H. Kaufman United States
Jonas J. W. Kuiper Netherlands
Christoph Deuter Germany
Marko Määttã Finland
M Chantal Hillarby United Kingdom
Eva Emmell United States
Tatsuya Fujioka Japan
Zhenhong Qu United States
Fethi Guémira relative to Jean Marc Durand France Jean Marc Durand's profile →
Citations per field
00.5×3.9×
Jean Marc Durand · 1×
Citations per year

Countries citing papers authored by Fethi Guémira

Since Specialization
Citations

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

Fields of papers citing papers by Fethi Guémira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20204
3 20205
4 20164
5
Hemophagocytic syndrome associated to a Hodgkin lymphoma.
20151
6 20155
7 201410
8 20144
9 20144
10
Variation phénotypique et moléculaire des hémoglobinopathies en milieu carcinologique.
20131
11 201341
12 201125
13 200850
14
Use of common seric tumor markers in patients with solid cancers.
20084
15 200710
16 200311
17
[Serum copper levels in obesity: a study of 32 cases].
200212
18 2002273
19 199211
20 199148

About Fethi Guémira

Fethi Guémira is a scholar working on Genetics, Otorhinolaryngology, Hematology, Biological Psychiatry and Cancer Research, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (12 papers), Iron Metabolism and Disorders (9 papers), Immune Cell Function and Interaction (6 papers), Glutathione Transferases and Polymorphisms (5 papers), Head and Neck Cancer Studies (5 papers), T-cell and B-cell Immunology (4 papers), RNA modifications and cancer (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Ophthalmology (230 citations), Hematology (189 citations), Immunology (331 citations), Cancer Research (209 citations) and Rheumatology (165 citations). Fethi Guémira has collaborated with scholars based in Tunisia, France and United States. Frequent co-authors include A. Hamzaoui, Kamel Hamzaoui, M'Hamed Hamza, K. Ayed, Jihène Klibi, Pierre Busson, J. Guigay, Toshiro Niki, Alexander Riedel and Mitsuomi Hirashima. Their work appears in journals such as Immunological Investigations, L Encéphale, Blood, Virology Journal and Scandinavian Journal of Rheumatology.

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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