Sara Barraud

555 citations
23 papers · 222 · h-index 9

Impact in

Papers in

Sara Barraud

20 papers receiving 217 citations

Peers

Sara Barraud
Comparison fields: 5 of 49
  • Reproductive Medicine 38
  • Endocrinology, Diabetes and Metabolism 52
  • Genetics 84
  • Aging 5
  • Public Health, Environmental and Occupational Health 73
Replace Alya Al-Shakaki with:
Alya Al-Shakaki Qatar
Latoya A. Stewart United States
Yiyuan Liu China
Oğuz Çilingir Türkiye
Donna O’Neil United Kingdom
Rachel J. Mann United States
Yi-Hui Lin Taiwan
Pere Mir Spain
Jiaqiang Luo China
Anil Pinto United States
Sara Barraud relative to Alya Al-Shakaki Qatar Alya Al-Shakaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sara Barraud

Since Specialization
Citations

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

Fields of papers citing papers by Sara Barraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201688
2 201926
3 202015
4 202012
5 201811
6 20179
7 20229
8
Comparative Evaluation of Two SD-OCT Macular Parameters (GCC, GCL) and RNFL in Chiasmal Compression
20228
9 20228
10 20217
11 20207
12 20195
13 20214
14 20213
15 20223
16 20222
17 20222
18 20161
19 20251
20 20251

About Sara Barraud

Sara Barraud is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 222 indexed citations. Recurring topics across this work include Diabetes Management and Research (6 papers), Diabetes and associated disorders (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Adrenal and Paraganglionic Tumors (3 papers), Thyroid Disorders and Treatments (2 papers), Parathyroid Disorders and Treatments (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Advanced Glycation End Products research (2 papers). The work is most often cited by research in Reproductive Medicine (38 citations), Endocrinology, Diabetes and Metabolism (52 citations), Genetics (84 citations), Aging (5 citations) and Public Health, Environmental and Occupational Health (73 citations). Sara Barraud has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Brigitte Delemer, Jacques Young, Isabelle Beau, Valérie Bernard, Nadine Binart, Justine Bouilly, Anne Fèvre, Jérôme Fagart, K. Azibi and Anne‐Laure Todeschini. Their work appears in journals such as Diabetes & Metabolism, The Journal of Clinical Endocrinology & Metabolism, Artificial Intelligence in Medicine, Medicine 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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