J J Lebrun

457 total citations
7 papers, 374 citations indexed

About

J J Lebrun is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, J J Lebrun has authored 7 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in J J Lebrun's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Glycosylation and Glycoproteins Research (1 paper) and Genetic Syndromes and Imprinting (1 paper). J J Lebrun is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Glycosylation and Glycoproteins Research (1 paper) and Genetic Syndromes and Imprinting (1 paper). J J Lebrun collaborates with scholars based in France, Canada and Japan. J J Lebrun's co-authors include Paul A. Kelly, Vincent Goffin, Robert A. Kirken, Hallgeir Rui, William L. Farrar, Suhad Ali, A. Ullrich, Hideaki Sowa, Lucie Canaff and Hiroshi Kaji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

J J Lebrun

7 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J J Lebrun France 7 225 139 128 77 55 7 374
A Gutierrez-Hartmann United States 12 302 1.3× 69 0.5× 223 1.7× 110 1.4× 72 1.3× 13 470
Christopher Tunkey United States 6 169 0.8× 78 0.6× 56 0.4× 135 1.8× 53 1.0× 8 394
Yvonne Myal Canada 11 380 1.7× 60 0.4× 94 0.7× 108 1.4× 35 0.6× 17 516
J. Milliken Australia 10 105 0.5× 151 1.1× 35 0.3× 197 2.6× 44 0.8× 14 379
Wen-Shu Sun Japan 12 128 0.6× 77 0.6× 31 0.2× 106 1.4× 203 3.7× 17 419
Kyren A. Lazarus Australia 10 201 0.9× 95 0.7× 26 0.2× 153 2.0× 66 1.2× 14 413
Jessica M. Bennett United States 11 160 0.7× 214 1.5× 50 0.4× 161 2.1× 43 0.8× 13 409
Mathias Hauri‐Hohl Switzerland 11 134 0.6× 74 0.5× 54 0.4× 68 0.9× 260 4.7× 22 469
Stéphanie Bianco Canada 12 330 1.5× 105 0.8× 21 0.2× 182 2.4× 52 0.9× 17 524
Xueke You United States 7 149 0.7× 63 0.5× 60 0.5× 54 0.7× 45 0.8× 9 417

Countries citing papers authored by J J Lebrun

Since Specialization
Citations

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

Fields of papers citing papers by J J Lebrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J J Lebrun

This figure shows the co-authorship network connecting the top 25 collaborators of J J Lebrun. A scholar is included among the top collaborators of J J Lebrun 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 J J Lebrun. J J Lebrun 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.
Hendy, Geoffrey N., Hiroshi Kaji, Hideaki Sowa, J J Lebrun, & Lucie Canaff. (2005). Menin and TGF-β Superfamily Member Signaling via the Smad Pathway in Pituitary, Parathyroid and Osteoblast. Hormone and Metabolic Research. 37(6). 375–379. 59 indexed citations
2.
Sachs, Laurent M., Amaury de Luze, J J Lebrun, Paul A. Kelly, & Barbara Demeneix. (1996). Use of heterologous DNA-based gene transfer to follow physiological, T3-dependent regulation of myosin heavy chain genes in Xenopus tadpoles.. Endocrinology. 137(5). 2191–2194. 12 indexed citations
3.
Lebrun, J J, Suhad Ali, Vincent Goffin, A. Ullrich, & Paul A. Kelly. (1995). A single phosphotyrosine residue of the prolactin receptor is responsible for activation of gene transcription.. Proceedings of the National Academy of Sciences. 92(9). 4031–4035. 98 indexed citations
4.
Suárez, Felipe, J J Lebrun, Denise Lecossier, et al.. (1995). Expression and modulation of the parathyroid hormone (PTH)/PTH-related peptide receptor messenger ribonucleic acid in skin fibroblasts from patients with type Ib pseudohypoparathyroidism.. The Journal of Clinical Endocrinology & Metabolism. 80(3). 965–970. 25 indexed citations
5.
Rui, Hallgeir, J J Lebrun, Robert A. Kirken, Paul A. Kelly, & William L. Farrar. (1994). JAK2 activation and cell proliferation induced by antibody-mediated prolactin receptor dimerization.. Endocrinology. 135(4). 1299–1306. 110 indexed citations
6.
Kelly, Paul A., Marc Edery, J Finidori, et al.. (1994). Receptor Domains Involved in Signal Transduction of Prolactin and Growth Hormone. Experimental Biology and Medicine. 206(3). 280–283. 10 indexed citations
7.
Paris, Nadine, et al.. (1990). Bacterial production and purification of recombinant human prolactin. Biotechnology and Applied Biochemistry. 12(4). 436–449. 60 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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