Gloria M. Cónsole

991 total citations
56 papers, 784 citations indexed

About

Gloria M. Cónsole is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, Gloria M. Cónsole has authored 56 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Molecular Biology and 12 papers in Physiology. Recurrent topics in Gloria M. Cónsole's work include Growth Hormone and Insulin-like Growth Factors (22 papers), Adipose Tissue and Metabolism (10 papers) and Pituitary Gland Disorders and Treatments (8 papers). Gloria M. Cónsole is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (22 papers), Adipose Tissue and Metabolism (10 papers) and Pituitary Gland Disorders and Treatments (8 papers). Gloria M. Cónsole collaborates with scholars based in Argentina, France and United States. Gloria M. Cónsole's co-authors include Rodolfo G. Goya, Paula C. Reggiani, Mireille Dardenne, Gustavo R. Morel, Susana Jurado, Irene L. Ennis, Eduardo M. Escudero, Horacio E. Cingolani, Randolph Seidler and Marı́a C. Camilión de Hurtado and has published in prestigious journals such as The FASEB Journal, Endocrinology and Annals of the New York Academy of Sciences.

In The Last Decade

Gloria M. Cónsole

56 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gloria M. Cónsole Argentina 16 225 213 137 111 110 56 784
Motoo Shinoda Japan 15 146 0.6× 122 0.6× 169 1.2× 69 0.6× 60 0.5× 41 668
Sandra Leal Portugal 19 483 2.1× 349 1.6× 122 0.9× 91 0.8× 111 1.0× 48 1.1k
Gustavo Ballejo Brazil 17 273 1.2× 217 1.0× 283 2.1× 238 2.1× 121 1.1× 51 1.1k
Lijun Shi China 20 439 2.0× 117 0.5× 220 1.6× 282 2.5× 59 0.5× 81 1.1k
Edgar Flores‐Soto Mexico 19 307 1.4× 132 0.6× 231 1.7× 36 0.3× 57 0.5× 62 852
Sevasti Zervou United Kingdom 20 338 1.5× 106 0.5× 228 1.7× 302 2.7× 214 1.9× 38 1.3k
Wen Su United States 16 226 1.0× 132 0.6× 202 1.5× 186 1.7× 69 0.6× 29 743
Juan C. Bournat United States 11 441 2.0× 98 0.5× 478 3.5× 72 0.6× 161 1.5× 19 1.1k
M Ježová Slovakia 11 205 0.9× 173 0.8× 70 0.5× 305 2.7× 39 0.4× 22 649
Elaine S. Coleman United States 15 274 1.2× 124 0.6× 143 1.0× 21 0.2× 61 0.6× 26 783

Countries citing papers authored by Gloria M. Cónsole

Since Specialization
Citations

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

Fields of papers citing papers by Gloria M. Cónsole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gloria M. Cónsole. 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 Gloria M. Cónsole. The network helps show where Gloria M. Cónsole may publish in the future.

Co-authorship network of co-authors of Gloria M. Cónsole

This figure shows the co-authorship network connecting the top 25 collaborators of Gloria M. Cónsole. A scholar is included among the top collaborators of Gloria M. Cónsole 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 Gloria M. Cónsole. Gloria M. Cónsole 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.
Reggiani, Paula C., et al.. (2013). The Thymulin-Lactotropic Axis in Rodents: Thymectomy, Immunoneutralization and Gene Transfer Studies. NeuroImmunoModulation. 20(5). 256–263. 2 indexed citations
2.
Reggiani, Paula C., et al.. (2011). Thymulin Gene Therapy Prevents the Histomorphometric Changes Induced by Thymulin Deficiency in the Thyrotrope Population of Mice. Cells Tissues Organs. 194(1). 67–75. 4 indexed citations
3.
Cingolani, Oscar H., Néstor G. Pérez, Irene L. Ennis, et al.. (2011). In vivo key role of reactive oxygen species and NHE-1 activation in determining excessive cardiac hypertrophy. Pflügers Archiv - European Journal of Physiology. 462(5). 733–743. 29 indexed citations
4.
Perelló, Mario, Gloria M. Cónsole, Rolf C. Gaillard, & Eduardo Spinedi. (2010). Analysis of angiotensin II- and ACTH-driven mineralocorticoid functions and omental adiposity in a non-genetic, hyperadipose female rat phenotype. Endocrine. 37(3). 497–506. 1 indexed citations
5.
Rulli, Susana B., et al.. (2009). Hormonal regulation of pituitary FSH sialylation in male rats. Molecular and Cellular Endocrinology. 309(1-2). 39–47. 11 indexed citations
6.
Oyhenart, Evelia Edith, et al.. (2008). Catch-up growth in intrauterine growth retarded rats: its correlation with histomorphometric changes of the pituitary somatotrope cells. European Journal of Anatomy. 12(2). 115–122. 3 indexed citations
7.
Cónsole, Gloria M., et al.. (2008). Effect of Insulin-Like Growth Factor-I Gene Therapy on the Somatotropic Axis in Experimental Prolactinomas. Cells Tissues Organs. 190(1). 20–26. 6 indexed citations
8.
Cónsole, Gloria M., et al.. (2008). Insulin-like growth factor-I gene therapy reverses morphologic changes and reduces hyperprolactinemia in experimental rat prolactinomas. Molecular Cancer. 7(1). 13–13. 8 indexed citations
9.
Morel, Gustavo R., Paula C. Reggiani, Gloria M. Cónsole, et al.. (2008). Potential of Gene Therapy for Restoration of Endocrine Thymic Function in Thymus-Deficient Animal Models. Current Gene Therapy. 8(1). 49–53. 2 indexed citations
10.
Goya, Rodolfo G., Paula C. Reggiani, Silvan Vesenbeckh, et al.. (2007). Thymulin gene therapy prevents the reduction in circulating gonadotropins induced by thymulin deficiency in mice. American Journal of Physiology-Endocrinology and Metabolism. 293(1). E182–E187. 26 indexed citations
11.
Goya, Rodolfo G., Gloria M. Cónsole, Claudia Beatriz Hereñú, Oscar A. Brown, & Omar J. Rimoldi. (2002). Thymus and Aging: Potential of Gene Therapy for Restoration of Endocrine Thymic Function in Thymus-Deficient Animal Models. Gerontology. 48(5). 325–328. 10 indexed citations
12.
Cónsole, Gloria M., et al.. (2002). Influence of Photoinhibition on the Morphology and Function of Pituitary Lactotropes in Male Golden Hamsters. Neuroendocrinology. 75(5). 316–325. 15 indexed citations
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15.
Goya, Rodolfo G., et al.. (2001). Altered Functional Responses with Preserved Morphology of Gonadotrophic Cells in Congenitally Athymic Mice. Brain Behavior and Immunity. 15(1). 85–92. 13 indexed citations
16.
Cónsole, Gloria M., et al.. (2000). Immunohistochemical and Ultrastructural Study of Pituitary Folliculostellate Cells during Aging in Rats. Cells Tissues Organs. 167(1). 25–32. 10 indexed citations
17.
Cónsole, Gloria M., et al.. (1998). Immunohistochemical and ultrastructural age-related changes in rat lactotroph cells.. PubMed. 22(3). 197–205. 2 indexed citations
18.
Brown, Oscar A., et al.. (1996). Age-dependent prolactin-releasing activity of nucleoproteins. Mechanisms of Ageing and Development. 89(2). 103–111. 1 indexed citations
19.
Cónsole, Gloria M., et al.. (1995). Immunohistochemical and Radioimmunological Assessment of Thyrotrophs in the Pituitary of Aging Rats. Cells Tissues Organs. 152(1). 28–32. 11 indexed citations
20.
Cónsole, Gloria M., et al.. (1994). Immunohistochemical and radioimmunological study of pituitary gonadotrophs during aging in male rats. Mechanisms of Ageing and Development. 73(2). 87–95. 8 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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