S. Gabriel

3.3k citations
21 papers · 310 · h-index 9

Impact in

Papers in

S. Gabriel

17 papers receiving 308 citations

Peers

S. Gabriel
Comparison fields: 5 of 35
  • Endocrinology, Diabetes and Metabolism 106
  • Cancer Research 76
  • Nephrology 30
  • Surgery 180
  • Neurology 45
Replace Mustapha El Lakis with:
Mustapha El Lakis United States
Melanie L. Lyden United States
Shamil Aliyev United States
Rajeev Kasaliwal India
Omar Picado United States
Salvatore Napolitano Italy
Marie Lequoy France
Johnathan Hubbard United Kingdom
C. Ghander France
Pavel Nockel United States
S. Gabriel relative to Mustapha El Lakis United States Mustapha El Lakis's profile →
Citations per field
00.5×4.4×
Mustapha El Lakis · 1×
Citations per year

Countries citing papers authored by S. Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by S. Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201590
2 201243
3 201338
4 201533
5 201426
6 201318
7 201814
8 201714
9 20119
10 20198
11 19997
12 20214
13 20192
14 20241
15 20211
16 20131
17 20221
18 20240
19 20240
20 20240

About S. Gabriel

S. Gabriel is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Neurology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 310 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (4 papers), Medical Imaging Techniques and Applications (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Gallbladder and Bile Duct Disorders (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), Renal cell carcinoma treatment (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (106 citations), Cancer Research (76 citations), Nephrology (30 citations), Surgery (180 citations) and Neurology (45 citations). S. Gabriel has collaborated with scholars based in France, United States and Russia. Frequent co-authors include F. Sébag, David Taïeb, Nicolas Fakhry, Karel Pacák, Anne Barlier, Anderson Loundou, Isabelle Morange, Frédéric Castinetti, Carole Guérin and A. Varoquaux. Their work appears in journals such as Clinical Endocrinology, Nuclear Medicine Communications, British Journal of Oral and Maxillofacial Surgery, PLoS ONE and European Journal of Nuclear Medicine and Molecular Imaging.

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.

Explore authors with similar magnitude of impact