Nicole Beuret

47 total papers · 471 total citations
15 papers, 338 citations indexed

About

Nicole Beuret is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Nicole Beuret has authored 15 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Surgery. Recurrent topics in Nicole Beuret's work include Cellular transport and secretion (5 papers), Pancreatic function and diabetes (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Nicole Beuret is often cited by papers focused on Cellular transport and secretion (5 papers), Pancreatic function and diabetes (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Nicole Beuret collaborates with scholars based in Switzerland, United States and Denmark. Nicole Beuret's co-authors include Martin Spiess, Jonas Rutishauser, Cristina Prescianotto‐Baschong, Peter Arvan, Ling Qi, Guojun Shi, Qiaoming Long, Shengyi Sun, Houchaima Ben‐Tekaya and Bérengère Fayard and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Biochemical Journal.

In The Last Decade

Nicole Beuret

15 papers receiving 336 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nicole Beuret 188 167 70 47 46 15 338
Shinya Yuge 189 1.0× 103 0.6× 38 0.5× 17 0.4× 12 0.3× 15 368
Mourad Métioui 238 1.3× 57 0.3× 43 0.6× 19 0.4× 7 0.2× 9 377
Conan G. Kinsey 207 1.1× 35 0.2× 36 0.5× 40 0.9× 20 0.4× 20 388
M Cesnjaj 175 0.9× 41 0.2× 25 0.4× 12 0.3× 25 0.5× 14 401
Valeria De Arcangelis 221 1.2× 51 0.3× 23 0.3× 13 0.3× 10 0.2× 18 351
Leonard A. Haas 217 1.2× 57 0.3× 44 0.6× 20 0.4× 9 0.2× 12 401
Kuo-Liang Hsi 193 1.0× 106 0.6× 47 0.7× 10 0.2× 6 0.1× 11 372
Ping-Ke Fang 289 1.5× 149 0.9× 30 0.4× 66 1.4× 5 0.1× 9 381
Xin Wang 304 1.6× 82 0.5× 22 0.3× 9 0.2× 13 0.3× 13 402
Alex Paterson 145 0.8× 24 0.1× 23 0.3× 17 0.4× 28 0.6× 19 362

Countries citing papers authored by Nicole Beuret

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Beuret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Beuret

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Beuret. A scholar is included among the top collaborators of Nicole Beuret 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 Nicole Beuret. Nicole Beuret is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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