Y. Barbier

1.2k citations
26 papers · 847 · h-index 13

Impact in

Papers in

Y. Barbier

26 papers receiving 820 citations

Peers

Y. Barbier
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 259
  • Pathology and Forensic Medicine 214
  • Genetics 63
  • Oncology 149
  • Cancer Research 68
Replace Marin Sekosan with:
Marin Sekosan United States
Nasreen A. Syed United States
Maria Teresa de Seixas Alves Brazil
B Schneider Germany
Soichi Iijima Japan
Allyn H. Rule United States
Kalle Kisand Estonia
Kenji Kasai Japan
P A Guerne Switzerland
Horst Nizze Germany
Y. Barbier relative to Marin Sekosan United States Marin Sekosan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Y. Barbier

Since Specialization
Citations

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

Fields of papers citing papers by Y. Barbier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002191
2 1994114
3 199693
4 202060
5 199860
6 199250
7 199441
8 198940
9 199639
10 199239
11 200328
12 200126
13 199812
14
Study of pentoxifylline induced modulation of TNF alpha and interleukin-6 secretion in healthy and septic patients by the use of an ex-vivo model on whole blood.
199210
15 19987
16 19966
17 19926
18 19954
19 19934
20 19904

About Y. Barbier

Y. Barbier is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 847 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Child Nutrition and Feeding Issues (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Peptidase Inhibition and Analysis (2 papers), Cystic Fibrosis Research Advances (2 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Pathology and Forensic Medicine (214 citations), Genetics (63 citations), Oncology (149 citations) and Cancer Research (68 citations). Y. Barbier has collaborated with scholars based in France, Italy and Switzerland. Frequent co-authors include Bertrand Coiffier, Gilles Salles, C. Paulin, Massimo Santoro, Nicole Fabien, Alfredo Fusco, Jacques Orgiazzi, X. Ducottet, Jacques Bienvenu and Arnulf Mayer. Their work appears in journals such as Journal of Pediatric Gastroenterology and Nutrition, Breast Cancer Research and Treatment, Cancer, British Journal of Haematology and British Journal of Cancer.

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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