S. Gaillard

3.5k citations
112 papers · 1.6k · h-index 22

Impact in

Papers in

S. Gaillard

100 papers receiving 1.6k citations

Peers

S. Gaillard
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 670
  • Genetics 203
  • Neurology 224
  • Surgery 336
  • Epidemiology 256
Replace Caroline José with:
Caroline José Canada
Kim Phipps United Kingdom
Keisuke Nagasaki Japan
Kei Matsumoto Japan
Helen Turner United Kingdom
James Fletcher United States
Tsuyoshi Tada Japan
Charles Branch Wilson United States
Hyung Jin Shin South Korea
Winnie Lau China
S. Gaillard relative to Caroline José Canada Caroline José's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Gaillard

Since Specialization
Citations

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

Fields of papers citing papers by S. Gaillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010155
2 2012118
3 2004101
4 200969
5 201768
6 200464
7 200263
8 202060
9 199050
10 201749
11 200740
12 201439
13 201039
14 201138
15 201231
16 201430
17 201829
18 202129
19 202028
20 201126

About S. Gaillard

S. Gaillard is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine, Neurology and Epidemiology, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (27 papers), Blood properties and coagulation (10 papers), Meningioma and schwannoma management (10 papers), Glioma Diagnosis and Treatment (10 papers), Intracranial Aneurysms: Treatment and Complications (7 papers), Spine and Intervertebral Disc Pathology (6 papers), Head and Neck Surgical Oncology (5 papers) and Neurofibromatosis and Schwannoma Cases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (670 citations), Genetics (203 citations), Neurology (224 citations), Surgery (336 citations) and Epidemiology (256 citations). S. Gaillard has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include Bertrand Baussart, Laure Cazabat, Fabrice Parker, Philippe Chanson, Jacques Young, Michèle Bernier, A. Boulin, Sorin Aldéa, J Dupont and Jérôme Bertherat. Their work appears in journals such as Acta Neurochirurgica, European Journal of Endocrinology, Operative Neurosurgery, The Journal of Clinical Endocrinology & Metabolism and Neuroradiology.

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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