Sèverine Pechberty

1.3k citations
13 papers · 889 · 1 hit paper · h-index 11

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Calcium signaling and nucleotide metabolism
  • Surgery top 5%
    • Pancreatic function and diabetes

Papers in

    • Pancreatic function and diabetes 11
    • Diabetes and associated disorders 7

Sèverine Pechberty

13 papers receiving 884 citations

Sèverine Pechberty's Hit Papers

A genetically engineered human pancreatic β cell line exhibiting glucose-inducible insulin secretion 2011 · 401 citations
4010+5+10Years since publication100200300400

Peers

Sèverine Pechberty
Comparison fields: 5 of 78
  • Physiology 94
  • Surgery 549
  • Endocrinology, Diabetes and Metabolism 192
  • Genetics 338
  • Geriatrics and Gerontology 28
Replace David Groff with:
David Groff United States
Sif G. Rønn Denmark
Latif Rachdi France
Jing Yong United States
Jason Fan United States
K Terazono Japan
Miyako Ariga Japan
Lukas Adrian Berchtold Denmark
Ting-Lin Yang China
Kenji Ohba Japan
Sèverine Pechberty relative to David Groff United States David Groff's profile →
Citations per field
00.5×3.1×
David Groff · 1×
Citations per year

Countries citing papers authored by Sèverine Pechberty

Since Specialization
Citations

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

Fields of papers citing papers by Sèverine Pechberty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
A genetically engineered human pancreatic β cell line exhibiting glucose-inducible insulin secretion
Hit paper breakdown →
2011401
2 2007132
3 2014126
4 201558
5 201943
6 200339
7 202023
8 201622
9 201413
10 200912
11 202210
12 20179
13 20221

About Sèverine Pechberty

Sèverine Pechberty is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology, having authored 13 papers that have together received 889 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Diabetes and associated disorders (7 papers), Diabetes Management and Research (5 papers), Calcium signaling and nucleotide metabolism (2 papers), Cannabis and Cannabinoid Research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Adenosine and Purinergic Signaling (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Physiology (94 citations), Surgery (549 citations), Endocrinology, Diabetes and Metabolism (192 citations), Genetics (338 citations) and Geriatrics and Gerontology (28 citations). Sèverine Pechberty has collaborated with scholars based in France, Sweden and Germany. Frequent co-authors include Raphaël Scharfmann, Philippe Ravassard, Paul Czernichow, Mathieu Armanet, Sahil Adriouch, Michel Séman, Friedrich Koch‐Nolte, Sandra Hubert, Friedrich Haag and Latif Rachdi. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE, Journal of Leukocyte Biology, The Anatomical Record and Molecular Metabolism.

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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