Marcelo J. Perone

1.6k total citations
44 papers, 1.3k citations indexed

About

Marcelo J. Perone is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Marcelo J. Perone has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Genetics and 13 papers in Surgery. Recurrent topics in Marcelo J. Perone's work include Stress Responses and Cortisol (10 papers), Diabetes and associated disorders (8 papers) and Immune Cell Function and Interaction (7 papers). Marcelo J. Perone is often cited by papers focused on Stress Responses and Cortisol (10 papers), Diabetes and associated disorders (8 papers) and Immune Cell Function and Interaction (7 papers). Marcelo J. Perone collaborates with scholars based in Argentina, United States and Germany. Marcelo J. Perone's co-authors include Eduardo Arzt, Ana C. Liberman, William J. Shufesky, Adrián E. Morelli, María G. Castro, Ricardo A. Dewey, Jimena Druker, Adriana T. Larregina, Eduardo Spinedi and A. Chisari and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Marcelo J. Perone

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo J. Perone Argentina 21 431 369 243 204 199 44 1.3k
István Likó Hungary 21 669 1.6× 95 0.3× 182 0.7× 242 1.2× 348 1.7× 71 1.4k
Yi Dong China 22 1.6k 3.6× 499 1.4× 162 0.7× 216 1.1× 126 0.6× 52 2.6k
Séverine Remy France 25 1.2k 2.8× 393 1.1× 426 1.8× 189 0.9× 29 0.1× 62 2.0k
I‐Chen Yu United States 19 580 1.3× 243 0.7× 138 0.6× 108 0.5× 286 1.4× 36 1.4k
Telma M.T. Zorn Brazil 24 489 1.1× 548 1.5× 319 1.3× 124 0.6× 192 1.0× 77 1.8k
Dirk Roosterman Germany 21 800 1.9× 121 0.3× 88 0.4× 101 0.5× 122 0.6× 30 1.9k
Jiangkai Lin China 25 581 1.3× 374 1.0× 54 0.2× 161 0.8× 35 0.2× 54 2.0k
Damián Kovalovsky United States 18 505 1.2× 839 2.3× 121 0.5× 109 0.5× 248 1.2× 30 1.6k
Beth S. Schachter United States 22 555 1.3× 165 0.4× 602 2.5× 68 0.3× 369 1.9× 34 1.6k
Clara Ballerini Italy 28 684 1.6× 567 1.5× 84 0.3× 71 0.3× 58 0.3× 78 1.8k

Countries citing papers authored by Marcelo J. Perone

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo J. Perone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo J. Perone

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo J. Perone. A scholar is included among the top collaborators of Marcelo J. Perone 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 Marcelo J. Perone. Marcelo J. Perone 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
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Andreone, Luz, et al.. (2018). Interactions Between the Neuroendocrine System and T Lymphocytes in Diabetes. Frontiers in Endocrinology. 9. 229–229. 7 indexed citations
3.
Dumesic, Daniel A., et al.. (2017). Pluripotent nontumorigenic multilineage differentiating stress enduring cells (Muse cells): a seven-year retrospective. Stem Cell Research & Therapy. 8(1). 227–227. 39 indexed citations
4.
Perone, Marcelo J., et al.. (2014). A mystery unraveled: nontumorigenic pluripotent stem cells in human adult tissues. Expert Opinion on Biological Therapy. 14(7). 917–929. 17 indexed citations
5.
Liberman, Ana C., V. Ferraz-de-Paula, João Palermo‐Neto, et al.. (2012). Correction: Compound A, a Dissociated Glucocorticoid Receptor Modulator, Inhibits T-bet (Th1) and Induces GATA-3 (Th2) Activity in Immune Cells. PLoS ONE. 7(5). 5 indexed citations
6.
Castro, Carla N., Ana C. Liberman, Ricardo A. Dewey, et al.. (2010). Disease-Modifying Immunotherapy for the Management of Autoimmune Diabetes. NeuroImmunoModulation. 17(3). 173–176. 3 indexed citations
7.
Schaaf, Christian P., Bing Shan, Chiara Onofri, et al.. (2010). Curcumin Inhibits the Growth, Induces Apoptosis and Modulates the Function of Pituitary Folliculostellate Cells. Neuroendocrinology. 91(2). 200–210. 9 indexed citations
8.
Perone, Marcelo J., Suzanne Bertera, William J. Shufesky, et al.. (2009). Suppression of Autoimmune Diabetes by Soluble Galectin-1. The Journal of Immunology. 182(5). 2641–2653. 80 indexed citations
9.
Gerez, Juliana Rubira, Juán José Bonfiglio, Damiana Giacomini, et al.. (2007). Molecular transduction mechanisms of cytokine hormone interactions: role of gp130 cytokines. Experimental Physiology. 92(5). 801–806. 11 indexed citations
10.
Liberman, Ana C., Jimena Druker, Marcelo J. Perone, & Eduardo Arzt. (2007). Glucocorticoids in the regulation of transcription factors that control cytokine synthesis. Cytokine & Growth Factor Reviews. 18(1-2). 45–56. 92 indexed citations
11.
Perone, Marcelo J., Suzanne Bertera, William J. Shufesky, et al.. (2006). Dendritic Cells Expressing Transgenic Galectin-1 Delay Onset of Autoimmune Diabetes in Mice. The Journal of Immunology. 177(8). 5278–5289. 61 indexed citations
12.
Perone, Marcelo J., Adriana T. Larregina, William J. Shufesky, et al.. (2006). Transgenic Galectin-1 Induces Maturation of Dendritic Cells That Elicit Contrasting Responses in Naive and Activated T Cells. The Journal of Immunology. 176(12). 7207–7220. 49 indexed citations
13.
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Southgate, T. D., Joseph R. Smith-Arica, Christian A. Gerdes, et al.. (2000). Transcriptional Targeting to Anterior Pituitary Lactotrophic Cells Using Recombinant Adenovirus Vectors in Vitro and in Vivo in Normal and Estrogen/Sulpiride-Induced Hyperplasic Anterior Pituitaries*. Endocrinology. 141(9). 3493–3505. 57 indexed citations
15.
Chisari, A., Marcelo J. Perone, Andrés Giovambattista, & Eduardo Spinedi. (1998). Gender-dependent characteristics of the hypothalamo-corticotrope axis function in glucocorticoid-replete and glucocorticoid-depleted rats. Journal of Endocrinological Investigation. 21(11). 737–743. 5 indexed citations
16.
Perone, Marcelo J., Ian Dunn, Sally Radovick, et al.. (1998). Direct regulation of GnRH transcription by CRF-like peptides in an immortalized neuronal cell line. Neuroreport. 9(14). 3135–3140. 34 indexed citations
17.
Perone, Marcelo J., Colin Murray, Oscar A. Brown, et al.. (1998). Procorticotrophin-releasing hormone: endoproteolytic processing and differential release of its derived peptides within AtT20 cells. Molecular and Cellular Endocrinology. 142(1-2). 191–202. 15 indexed citations
18.
19.
Castro, María G., Ewan E. Morrison, Marcelo J. Perone, et al.. (1996). Corticotrophin‐Releasing Hormone Receptor Type 1: Generation and Characterization of Polyclonal Antipeptide Antibodies and their Localization in Pituitary Cells and Cortical Neurones in vitro. Journal of Neuroendocrinology. 8(7). 521–531. 20 indexed citations
20.
Chisari, A., et al.. (1995). Sex and strain variability in the rat hypothalamo-pituitary-adrenal (HPA) axis function. Journal of Endocrinological Investigation. 18(1). 25–33. 53 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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