A Ribet

2.1k citations
123 papers · 1.6k · h-index 24

Impact in

    • Neuropeptides and Animal Physiology
  • Surgery top 5%
    • Pancreatic function and diabetes
    • Pancreatitis Pathology and Treatment
    • Pediatric Hepatobiliary Diseases and Treatments

Papers in

    • Pancreatic function and diabetes 30
    • Pancreatitis Pathology and Treatment 28
    • Glycosylation and Glycoproteins Research 10

A Ribet

115 papers receiving 1.5k citations

Peers

A Ribet
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 378
  • Surgery 729
  • Gastroenterology 86
  • Epidemiology 370
  • Oncology 287
Replace J. C. Thompson with:
J. C. Thompson United States
James R. Upp United States
Akira Ohneda Japan
Masuo Akahane Japan
Seizo Kadowaki Japan
Muriel Jaquet Switzerland
Shaolong Yang United States
Daniel J. Drucker Canada
Jacqueline A. Koehler Canada
Manjit Singh United States
A Ribet relative to J. C. Thompson United States J. C. Thompson's profile →
Citations per field
00.5×1.5×2.3×
J. C. Thompson · 1×
Citations per year

Countries citing papers authored by A Ribet

Since Specialization
Citations

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

Fields of papers citing papers by A Ribet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984195
2 198867
3 198754
4 198451
5 198449
6 198149
7 198146
8 198543
9 198142
10 198037
11 198835
12 197634
13 199032
14 197131
15 198330
16 197729
17 198228
18 198327
19 197226
20 198125

About A Ribet

A Ribet is a scholar working on Surgery, Molecular Biology, Oncology, Epidemiology and Cellular and Molecular Neuroscience, having authored 123 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (30 papers), Pancreatitis Pathology and Treatment (28 papers), Neuropeptides and Animal Physiology (23 papers), Neuroendocrine Tumor Research Advances (20 papers), Digestive system and related health (12 papers), Glycosylation and Glycoproteins Research (10 papers), Peptidase Inhibition and Analysis (9 papers) and Lung Cancer Research Studies (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (378 citations), Surgery (729 citations), Gastroenterology (86 citations), Epidemiology (370 citations) and Oncology (287 citations). A Ribet has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Nicole Vaysse, Lucien Pradayrol, J.P. Estève, J Escourrou, Jacques Frexinos, D. Balas, F. Senegas‐Balas, F Lazorthes, F. Clémente and M.J. Bastié. Their work appears in journals such as Digestion, Digestive Diseases and Sciences, American Journal of Physiology-Gastrointestinal and Liver Physiology, Gut and Peptides.

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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