Pascale Beffy

35 papers receiving 706 citations

Peers

Pascale Beffy
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 90
  • Physiology 21
  • Molecular Biology 307
  • Geriatrics and Gerontology 14
  • Toxicology 14
Replace Jin Won Yang with:
Jin Won Yang South Korea
Juliano L. Sartoretto United States
Mingxia Zhao China
Deqiang Huang China
Xiong-Zhi Wu China
Neha Rani India
Entaz Bahar South Korea
June Woo Lee South Korea
Yashomati M. Patel United States
Mickaël Rialland France
Pascale Beffy relative to Jin Won Yang South Korea Jin Won Yang's profile →
Citations per field
00.5×1.5×
Jin Won Yang · 1×
Citations per year

Countries citing papers authored by Pascale Beffy

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Beffy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012109
2 202046
3 201246
4 201246
5 200742
6 201035
7 201333
8 201431
9 198431
10 201027
11 201624
12 201222
13 201321
14 201119
15 200418
16 200116
17 202016
18 201815
19 201415
20 201114

About Pascale Beffy

Pascale Beffy is a scholar working on Molecular Biology, Surgery, Immunology, Plant Science and Epidemiology, having authored 36 papers that have together received 728 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Genetic Neurodegenerative Diseases (5 papers), Natural Compound Pharmacology Studies (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Adipose Tissue and Metabolism (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (90 citations), Physiology (21 citations), Molecular Biology (307 citations), Geriatrics and Gerontology (14 citations) and Toxicology (14 citations). Pascale Beffy has collaborated with scholars based in Italy, Czechia and France. Frequent co-authors include Pellegrino Masiello, Michela Novelli, Marta Menegazzi, Matilde Masini, Piero Marchetti, Vincenzo De Tata, Vincenzo Longo, R. Del Carratore, Lorella Marselli and Pier Giovanni Gervasi. Their work appears in journals such as PLoS ONE, The International Journal of Biochemistry & Cell Biology, Molecular and Cellular Endocrinology, Chemosphere and Journal of General Virology.

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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