P. Guillaumot

527 total citations
25 papers, 448 citations indexed

About

P. Guillaumot is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, P. Guillaumot has authored 25 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Reproductive Medicine and 8 papers in Molecular Biology. Recurrent topics in P. Guillaumot's work include Growth Hormone and Insulin-like Growth Factors (13 papers), Hypothalamic control of reproductive hormones (7 papers) and Estrogen and related hormone effects (6 papers). P. Guillaumot is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (13 papers), Hypothalamic control of reproductive hormones (7 papers) and Estrogen and related hormone effects (6 papers). P. Guillaumot collaborates with scholars based in France and Australia. P. Guillaumot's co-authors include Serge N. Manié, I. Sabbagh, Mohamed Benahmed, J Bertrand, Anne‐Laure Huber, Virginie Pétrilli, Mouhannad Malek, Marie‐Agnès Chauvin, Justine Lebeau and Toufic Renno and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

P. Guillaumot

25 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Guillaumot France 12 182 144 100 92 91 25 448
Robert Fraser Canada 13 303 1.7× 48 0.3× 29 0.3× 75 0.8× 80 0.9× 16 603
André Stutz Switzerland 6 646 3.5× 73 0.5× 44 0.4× 52 0.6× 21 0.2× 7 886
Karin Bundschu Germany 11 445 2.4× 75 0.5× 37 0.4× 110 1.2× 15 0.2× 19 613
Ching‐Ling C. Chen United States 15 383 2.1× 45 0.3× 24 0.2× 211 2.3× 148 1.6× 18 823
N S Thomas United Kingdom 16 334 1.8× 42 0.3× 55 0.6× 22 0.2× 19 0.2× 25 574
Christine C. Quirk United States 11 189 1.0× 27 0.2× 19 0.2× 92 1.0× 75 0.8× 15 390
M Cesnjaj United States 12 175 1.0× 41 0.3× 18 0.2× 139 1.5× 90 1.0× 14 401
Mathias S. Gierl Germany 7 309 1.7× 30 0.2× 51 0.5× 30 0.3× 39 0.4× 7 512
Maria Lucia Scaldaferri Italy 10 298 1.6× 21 0.1× 26 0.3× 143 1.6× 84 0.9× 12 545
Marco Conti United States 14 391 2.1× 38 0.3× 18 0.2× 285 3.1× 205 2.3× 15 796

Countries citing papers authored by P. Guillaumot

Since Specialization
Citations

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

Fields of papers citing papers by P. Guillaumot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Guillaumot

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

All Works

20 of 20 papers shown
1.
Huber, Anne‐Laure, Justine Lebeau, P. Guillaumot, et al.. (2013). p58IPK-Mediated Attenuation of the Proapoptotic PERK-CHOP Pathway Allows Malignant Progression upon Low Glucose. Molecular Cell. 49(6). 1049–1059. 128 indexed citations
2.
Malek, Mouhannad, P. Guillaumot, Anne‐Laure Huber, et al.. (2012). LAMTOR1 depletion induces p53-dependent apoptosis via aberrant lysosomal activation. Cell Death and Disease. 3(4). e300–e300. 21 indexed citations
3.
Ludford‐Menting, Mandy, Blessing Crimeen‐Irwin, Jane Oliaro, et al.. (2011). The Reorientation of T-Cell Polarity and Inhibition of Immunological Synapse Formation by CD46 Involves Its Recruitment to Lipid Rafts. SHILAP Revista de lepidopterología. 2011. 1–10. 15 indexed citations
4.
Guillaumot, P., Mouhannad Malek, Anne‐Laure Huber, et al.. (2010). Pdro, a Protein Associated with Late Endosomes and Lysosomes and Implicated in Cellular Cholesterol Homeostasis. PLoS ONE. 5(6). e10977–e10977. 18 indexed citations
5.
Guillaumot, P., et al.. (2006). γ-Secretase-Dependent Proteolysis of CD44 Promotes Neoplastic Transformation of Rat Fibroblastic Cells. Cancer Research. 66(7). 3681–3687. 31 indexed citations
6.
Guillaumot, P., et al.. (2005). Inducible Dimerization of RET Reveals a Specific AKT Deregulation in Oncogenic Signaling. Journal of Biological Chemistry. 280(44). 36584–36591. 33 indexed citations
7.
Guillaumot, P. & Mohamed Benahmed. (1999). Prolactin receptors are expressed and hormonally regulated in rat Sertoli cells. Molecular and Cellular Endocrinology. 149(1-2). 163–168. 16 indexed citations
8.
Guillaumot, P., Éric Tabone, & Mohamed Benahmed. (1996). Sertoli cells as potential targets of prolactin action in the testis. Molecular and Cellular Endocrinology. 122(2). 199–206. 26 indexed citations
9.
Guillaumot, P., et al.. (1994). Heterogeneity of the prolactin receptor in the rat mammary gland and liver during various physiological states. Journal of Endocrinology. 141(2). 271–278. 13 indexed citations
10.
Guillaumot, P., et al.. (1993). Characterization of a prolactin binding protein in rat serum.. Endocrinology. 132(6). 2601–2606. 7 indexed citations
11.
Guillaumot, P., et al.. (1988). Variations of liver prolactin receptors during the estrous cycle in normal rats and in the genetically hypoprolactinemic IPL nude rat. Molecular and Cellular Endocrinology. 58(1). 17–23. 6 indexed citations
12.
Cohen, Hélène, I. Sabbagh, P. Guillaumot, et al.. (1988). Relationship between Bioassay and Radioimmunoassay Measurement of Prolactin in the IPL Rat, a Hypoprolactinemic Rat Strain. Biology of Reproduction. 38(1). 84–90. 4 indexed citations
13.
Guillaumot, P., et al.. (1988). Variations of liver prolactin receptors during pregnancy in normal rats and in the genetically hypoprolactinemic IPL nude rat. Molecular and Cellular Endocrinology. 58(1). 25–29. 6 indexed citations
14.
Jordan, Daniel, et al.. (1987). Thyroid-Hypophyso-Hypothalamic Axis of the Genetically Hypoprolactinemic Rats (IPL Nude Rats). Neuroendocrinology. 46(3). 194–198. 4 indexed citations
15.
Guillaumot, P., et al.. (1986). Prolactin receptor regulation by LH in the rat mammary gland. Biochemical and Biophysical Research Communications. 135(3). 1076–1083. 1 indexed citations
16.
Guillaumot, P., et al.. (1986). Mammary Gland Prolactin Receptors in Normal and in Female Rats with Absence of Lactation (IPL Rats). Annals of the New York Academy of Sciences. 464(1). 422–426. 3 indexed citations
17.
Sabbagh, I., et al.. (1986). Steroid regulation of gonadotropins in genetically hypoprolactinemic females (IPL nude rats). Journal of Steroid Biochemistry. 24(1). 431–435. 2 indexed citations
18.
Sabbagh, I., et al.. (1985). Increased dopaminergic inhibition of prolactin in the hypoprolactinaemic IPL nude rat. Journal of Endocrinology. 107(3). 325–329. 5 indexed citations
19.
Guillaumot, P., et al.. (1984). Prolactin receptors in the hypoprolactinemic male rat (IPL nude rat): Measurement in testis and induction in liver. Journal of Steroid Biochemistry. 20(1). 347–351. 7 indexed citations
20.

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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