S. Taïeb

3.0k citations
130 papers · 1.6k indexed · h-index 19

Impact in

Papers in

S. Taïeb

117 papers receiving 1.6k citations

Peers

S. Taïeb
Comparison fields: 5 of 70
  • Obstetrics and Gynecology 386
  • Reproductive Medicine 297
  • Pulmonary and Respiratory Medicine 879
  • Oncology 699
  • Cardiology and Cardiovascular Medicine 434
Replace E. Moskovic with:
E. Moskovic United Kingdom
Deborah L. Driscoll United States
George Bozas Greece
M. Delannes France
Elsa Kalbacher France
Rafael Martínez‐Monge Spain
Terue Okamura Japan
Diane Hamele‐Bena United States
Khaldoun Kerrou France
F Flamant France
S. Taïeb relative to E. Moskovic United Kingdom E. Moskovic's profile →
Citations per field
00.5×2.6×
E. Moskovic · 1×
Citations per year

Countries citing papers authored by S. Taïeb

Since Specialization
Citations

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

Fields of papers citing papers by S. Taïeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 20232
4 20231
5 20232
6 20232
7 202312
8 20192
9 201414
10 20146
11 201327
12 20131
13 20092
14 20093
15 20081
16
Apport de la tomographie par émission de positons en radiothérapie
20073
17 20055
18
Fréquence des génopathies et des antécédents carcinologiques chez 493 adultes atteints de sarcomes viscéraux ou des tissus mous
200310
19
Le patient face aux choix thérapeutiques en cancérologie : vers une décision partagée ?
20013
20 200037

About S. Taïeb

S. Taïeb is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine, having authored 130 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (38 papers), Endometrial and Cervical Cancer Treatments (30 papers), Ovarian cancer diagnosis and treatment (23 papers), Vascular Tumors and Angiosarcomas (16 papers), MRI in cancer diagnosis (12 papers), Cardiac tumors and thrombi (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Uterine Myomas and Treatments (11 papers). The work is most often cited by research in Obstetrics and Gynecology (386 citations), Reproductive Medicine (297 citations), Pulmonary and Respiratory Medicine (879 citations), Oncology (699 citations) and Cardiology and Cardiovascular Medicine (434 citations). S. Taïeb has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Nicolas Penel, Éric Leblanc, Charles Fournier, Fabrice Narducci, L. Ceugnart, Jean‐Yves Blay, Christine Chevreau, Sophie Piperno‐Neumann, Denis Querleu and Emmanuelle Bompas. Their work appears in journals such as Journal of Clinical Oncology, Diagnostic and Interventional Imaging, Gynecologic Oncology, European Journal of Cancer and Annals of 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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