A Ribet

2.1k total citations
123 papers, 1.7k citations indexed

About

A Ribet is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, A Ribet has authored 123 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Surgery, 27 papers in Molecular Biology and 27 papers in Epidemiology. Recurrent topics in A Ribet's work include Pancreatic function and diabetes (30 papers), Pancreatitis Pathology and Treatment (28 papers) and Neuropeptides and Animal Physiology (23 papers). A Ribet is often cited by papers focused on Pancreatic function and diabetes (30 papers), Pancreatitis Pathology and Treatment (28 papers) and Neuropeptides and Animal Physiology (23 papers). A Ribet collaborates with scholars based in France, United States and Australia. A Ribet's co-authors include Nicole Vaysse, J Escourrou, Lucien Pradayrol, Jacques Frexinos, J.P. Estève, D. Balas, F. Senegas‐Balas, F Lazorthes, F. Clémente and M.J. Bastié and has published in prestigious journals such as The Lancet, Gastroenterology and The Journal of Physiology.

In The Last Decade

A Ribet

119 papers receiving 1.6k citations

Peers

A Ribet
Comparison fields: 5 of 92
  • Surgery 875
  • Molecular Biology 524
  • Epidemiology 392
  • Cellular and Molecular Neuroscience 377
  • Oncology 367
Replace R. Nustede with:
R. Nustede Germany
P. Biancani United States
Jacqueline A. Koehler Canada
Jesper Thulesen Denmark
Biljana Jovov United States
Fiore Cattaruzza United States
Weibiao Cao United States
Daniel J. Drucker Canada
Marcia A. Wheeler United States
Muriel Jaquet Switzerland
R. Nustede Germany View profile →
Citations per field, relative to A Ribet
A Ribet · 1×
Citations per year, relative to A Ribet
A Ribet · 1×

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-authorship network of co-authors of A Ribet

This figure shows the co-authorship network connecting the top 25 collaborators of A Ribet. A scholar is included among the top collaborators of A Ribet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A Ribet. A Ribet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 46
2 5
3 13
4 4
5 3
6 64
7 52
8 10
9 183
10 1
11 20
12 26
13
A cooperative study on the detection of colorectal cancer and polyps in France.
1
14
Screening for colorectal tumors - results of two years experience.
5
15
Stimulus-secretion coupling in pancreatic acinar cells exposed to pancreozymin: Membranous and intra-cellular phenomena
1
16
[Study of pure human pancreatic juice collected after secretion and caerulein stimulation (author's transl)].
1
17 6
18 32
19
[Comparative study in man of the activity of various currently marketed secretins].
4
20
[Functional exploration of the exocrine pancreas using secretin perfusions].
2

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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