P. Pennisi

2.6k total citations
57 papers, 1.8k citations indexed

About

P. Pennisi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cancer Research. According to data from OpenAlex, P. Pennisi has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrinology, Diabetes and Metabolism, 25 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in P. Pennisi's work include Growth Hormone and Insulin-like Growth Factors (26 papers), Metabolism, Diabetes, and Cancer (11 papers) and Cancer, Hypoxia, and Metabolism (11 papers). P. Pennisi is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (26 papers), Metabolism, Diabetes, and Cancer (11 papers) and Cancer, Hypoxia, and Metabolism (11 papers). P. Pennisi collaborates with scholars based in Argentina, Italy and United States. P. Pennisi's co-authors include Shoshana Yakar, Héctor Jasper, C. E. Fiore, Horacio M. Domené, Derek LeRoith, María Gabriela Ropelato, Juan J. Heinrich, Alicia S. Martínez, Hong Zhao and Sonia V. Bengolea and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

P. Pennisi

55 papers receiving 1.8k 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. Pennisi Argentina 24 746 717 309 289 250 57 1.8k
Jennifer Setser United States 11 1.0k 1.4× 1.3k 1.8× 383 1.2× 259 0.9× 217 0.9× 11 2.1k
Gianluca Toraldo United States 18 1.8k 2.4× 313 0.4× 639 2.1× 1.0k 3.5× 251 1.0× 27 3.1k
Ruth Álvarez Spain 21 324 0.4× 176 0.2× 275 0.9× 201 0.7× 149 0.6× 38 1.3k
Michaela Tencerová Czechia 27 740 1.0× 181 0.3× 161 0.5× 254 0.9× 222 0.9× 55 2.4k
Sean C. Harrington United States 19 703 0.9× 273 0.4× 172 0.6× 286 1.0× 161 0.6× 27 1.3k
Barbara Toffoli Italy 21 560 0.8× 220 0.3× 62 0.2× 174 0.6× 106 0.4× 45 1.2k
Yunzi Chen China 20 547 0.7× 115 0.2× 265 0.9× 118 0.4× 153 0.6× 41 2.1k
George Schneider United States 17 361 0.5× 605 0.8× 215 0.7× 216 0.7× 80 0.3× 59 1.6k
Lisa Choy United States 19 1.7k 2.3× 216 0.3× 226 0.7× 339 1.2× 304 1.2× 23 3.3k
Hiroo Niimi Japan 24 463 0.6× 435 0.6× 337 1.1× 110 0.4× 28 0.1× 101 1.7k

Countries citing papers authored by P. Pennisi

Since Specialization
Citations

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

Fields of papers citing papers by P. Pennisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of P. Pennisi. A scholar is included among the top collaborators of P. Pennisi 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. Pennisi. P. Pennisi 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.
Karabatas, Liliana, Tomás Gómez, Paula Scaglia, et al.. (2023). An in vivo functional assay to characterize human STAT5B genetic variants during zebrafish development. Human Molecular Genetics. 32(15). 2473–2484. 1 indexed citations
2.
Muñoz, Marina C., Verónica Piazza, Valeria Burghi, et al.. (2022). Insulin signaling in the heart is impaired by growth hormone: a direct and early event. Journal of Molecular Endocrinology. 69(2). 357–376.
3.
Giacomozzi, Claudio, María Celia Fernández, Mariana Gutiérrez, et al.. (2022). Novel Insulin-Like Growth Factor 1 Gene Mutation: Broadening of the Phenotype and Implications for Insulin Resistance. The Journal of Clinical Endocrinology & Metabolism. 108(6). 1355–1369. 5 indexed citations
4.
5.
Ramírez, Laura, Paula Scaglia, Ana Keselman, et al.. (2019). A novel heterozygous STAT5B variant in a patient with short stature and partial growth hormone insensitivity (GHI). Growth Hormone & IGF Research. 50. 61–70. 8 indexed citations
6.
Sansó, Gabriela, et al.. (2016). VHL Germline Mutations in Argentinian Patients with Clinical Diagnoses or Single Typical Manifestations of Type 1 von Hippel–Lindau Disease. Genetic Testing and Molecular Biomarkers. 20(12). 771–776. 1 indexed citations
7.
Venara, Marcela, et al.. (2014). Characterization of IGFI Receptor Expression and Localization in Paediatric Gliomas Upon Diagnosis According to WHO 2007 Grading. 82. 1 indexed citations
8.
Novosyadlyy, Ruslan, Archana Vijayakumar, Anne Rowzee, et al.. (2010). Insulin-Mediated Acceleration of Breast Cancer Development and Progression in a Nonobese Model of Type 2 Diabetes. Cancer Research. 70(2). 741–751. 219 indexed citations
9.
Trana, Adriana Di, Bernardo Valenti, Anna De Angelis, et al.. (2010). Interaction diet energy level × genotype at alpha s1 casein locus in lactating goats fed ad libitum: effects on metabolic and endocrinal response.. 323–324. 2 indexed citations
10.
Pennisi, P., Agostino Gaudio, Ferdinando D’Amico, et al.. (2010). The association between carotid or femoral atherosclerosis and low bone mass in postmenopausal women referred for osteoporosis screening. Does osteoprotegerin play a role?. Maturitas. 67(4). 358–362. 24 indexed citations
11.
Yakar, Shoshana, Nomelí P. Núñez, P. Pennisi, et al.. (2006). Increased Tumor Growth in Mice with Diet-Induced Obesity: Impact of Ovarian Hormones. Endocrinology. 147(12). 5826–5834. 117 indexed citations
12.
Kim, Hyunsook, P. Pennisi, Oksana Gavrilova, et al.. (2006). Effect of adipocyte β3-adrenergic receptor activation on the type 2 diabetic MKR mice. American Journal of Physiology-Endocrinology and Metabolism. 290(6). E1227–E1236. 48 indexed citations
13.
Fiore, C. E., et al.. (2006). Altered Osteoprotegerin/RANKL Ratio and Low Bone Mineral Density in Celiac Patients on Long-term Treatment with Gluten-free Diet. Hormone and Metabolic Research. 38(6). 417–422. 58 indexed citations
14.
Yakar, Shoshana, P. Pennisi, Yiping Wu, Hong Zhao, & Derek LeRoith. (2005). Clinical Relevance of Systemic and Local IGF-I. Endocrine development. 9. 11–16. 40 indexed citations
15.
Yakar, Shoshana, P. Pennisi, Hong Zhao, Yang Zhang, & Derek LeRoith. (2004). Circulating IGF‐1 and Its Role in Cancer: Lessons from the IGF‐1 Gene Deletion (LID) Mouse. Novartis Foundation symposium. 262. 3–18. 19 indexed citations
16.
Kim, Hyunsook, Elisabeth R. Barton, Naser Muja, et al.. (2004). Intact Insulin and Insulin-Like Growth Factor-I Receptor Signaling Is Required for Growth Hormone Effects on Skeletal Muscle Growth and Functionin Vivo. Endocrinology. 146(4). 1772–1779. 73 indexed citations
17.
Pennisi, P., John J. Kopchick, Snorri S. Thorgeirsson, Derek LeRoith, & Shoshana Yakar. (2004). Role of Growth Hormone (GH) in Liver Regeneration. Endocrinology. 145(10). 4748–4755. 66 indexed citations
18.
Pennisi, P., et al.. (2003). Low bone density and abnormal bone turnover in patients with atherosclerosis of peripheral vessels.. Osteoporosis International. 15(5). 389–395. 141 indexed citations
19.
Ferraris, Jorge R., Titania Pasqualini, Patricia Sorroche, et al.. (2000). Effect of deflazacort versus methylprednisone on growth, body composition, lipid profile, and bone mass after renal transplantation. Pediatric Nephrology. 14(7). 682–688. 39 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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