Lisbeth Gauguin

463 total citations
7 papers, 348 citations indexed

About

Lisbeth Gauguin is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Lisbeth Gauguin has authored 7 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Lisbeth Gauguin's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Lisbeth Gauguin is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Lisbeth Gauguin collaborates with scholars based in Australia, United States and Denmark. Lisbeth Gauguin's co-authors include Pierre De Meyts, Vladislav V. Kiselyov, Soetkin Versteyhe, Briony E. Forbes, Kerrie A. McNeil, John C. Wallace, Carlie Delaine, Asser S. Andersen, Waseem Sajid and John D. Wade and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Annals of the New York Academy of Sciences.

In The Last Decade

Lisbeth Gauguin

7 papers receiving 339 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lisbeth Gauguin Australia 7 250 177 73 62 26 7 348
Stefania Puttini Switzerland 10 236 0.9× 80 0.5× 56 0.8× 126 2.0× 11 0.4× 13 366
Ramya S. Kuna United States 9 253 1.0× 79 0.4× 92 1.3× 15 0.2× 30 1.2× 9 362
Karen Featherstone United Kingdom 10 214 0.9× 77 0.4× 40 0.5× 60 1.0× 45 1.7× 14 393
Rick A. Davies United Kingdom 7 243 1.0× 66 0.4× 152 2.1× 28 0.5× 40 1.5× 8 370
Steven J. Jacobs United States 5 139 0.6× 117 0.7× 74 1.0× 55 0.9× 65 2.5× 5 330
Jianglei Chen United States 6 213 0.9× 33 0.2× 46 0.6× 27 0.4× 100 3.8× 10 310
Anne L. Frattali United States 8 384 1.5× 142 0.8× 82 1.1× 34 0.5× 34 1.3× 10 479
Sonali Nayak United States 6 130 0.5× 143 0.8× 101 1.4× 18 0.3× 21 0.8× 10 305
Sara M. McMillin United States 12 346 1.4× 85 0.5× 92 1.3× 18 0.3× 41 1.6× 16 432
Jasmeet Kaur United States 8 286 1.1× 53 0.3× 31 0.4× 33 0.5× 46 1.8× 18 351

Countries citing papers authored by Lisbeth Gauguin

Since Specialization
Citations

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

Fields of papers citing papers by Lisbeth Gauguin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisbeth Gauguin

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

All Works

7 of 7 papers shown
1.
Duyvenvoorde, Hermine A. van, J. van Doorn, Jens Koenig, et al.. (2011). The severe short stature in two siblings with a heterozygous IGF1 mutation is not caused by a dominant negative effect of the putative truncated protein. Growth Hormone & IGF Research. 21(1). 44–50. 9 indexed citations
2.
Duyvenvoorde, Hermine A. van, M.J.E. Walenkamp, J. van Doorn, et al.. (2010). Short Stature Associated with a Novel Heterozygous Mutation in theInsulin-Like Growth Factor 1Gene. The Journal of Clinical Endocrinology & Metabolism. 95(11). E363–E367. 47 indexed citations
3.
Meyts, Pierre De, et al.. (2009). Structural Basis of Allosteric Ligand–Receptor Interactions in the Insulin/Relaxin Peptide Family. Annals of the New York Academy of Sciences. 1160(1). 45–53. 22 indexed citations
4.
Kiselyov, Vladislav V., Soetkin Versteyhe, Lisbeth Gauguin, & Pierre De Meyts. (2009). Harmonic oscillator model of the insulin and IGF1 receptors’ allosteric binding and activation. Molecular Systems Biology. 5(1). 243–243. 126 indexed citations
5.
Gauguin, Lisbeth, Carlie Delaine, Kerrie A. McNeil, et al.. (2008). Alanine Scanning of a Putative Receptor Binding Surface of Insulin-like Growth Factor-I. Journal of Biological Chemistry. 283(30). 20821–20829. 56 indexed citations
6.
Delaine, Carlie, Kerrie A. McNeil, Terrence D. Mulhern, et al.. (2007). A Novel Binding Site for the Human Insulin-like Growth Factor-II (IGF-II)/Mannose 6-Phosphate Receptor on IGF-II. Journal of Biological Chemistry. 282(26). 18886–18894. 34 indexed citations
7.
Gauguin, Lisbeth, Waseem Sajid, Asser S. Andersen, et al.. (2007). Structural Basis for the Lower Affinity of the Insulin-like Growth Factors for the Insulin Receptor. Journal of Biological Chemistry. 283(5). 2604–2613. 54 indexed citations

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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