Mario Baratta

2.2k total citations
88 papers, 1.6k citations indexed

About

Mario Baratta is a scholar working on Molecular Biology, Agronomy and Crop Science and Oncology. According to data from OpenAlex, Mario Baratta has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Agronomy and Crop Science and 20 papers in Oncology. Recurrent topics in Mario Baratta's work include Cancer Cells and Metastasis (18 papers), Regulation of Appetite and Obesity (16 papers) and Reproductive Physiology in Livestock (14 papers). Mario Baratta is often cited by papers focused on Cancer Cells and Metastasis (18 papers), Regulation of Appetite and Obesity (16 papers) and Reproductive Physiology in Livestock (14 papers). Mario Baratta collaborates with scholars based in Italy, United States and Germany. Mario Baratta's co-authors include Carlo Tamanini, Eugenio Martignani, Paolo Accornero, Silvia Miretti, Terry M. Nett, A. M. Turzillo, Roberta Saleri, Louisa A. Rispoli, Giuseppina Basini and Simona Bussolati and has published in prestigious journals such as PLoS ONE, Scientific Reports and Endocrinology.

In The Last Decade

Mario Baratta

85 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Baratta Italy 25 379 322 309 291 211 88 1.6k
Karen Plaut United States 21 459 1.2× 346 1.1× 173 0.6× 421 1.4× 221 1.0× 65 1.5k
Toshiro Arai Japan 23 530 1.4× 175 0.5× 102 0.3× 459 1.6× 483 2.3× 173 1.9k
Itamar Barash Israel 22 677 1.8× 179 0.6× 743 2.4× 591 2.0× 370 1.8× 59 2.2k
Yongju Zhao China 21 546 1.4× 127 0.4× 80 0.3× 497 1.7× 139 0.7× 128 1.4k
Yaping Jin China 23 598 1.6× 156 0.5× 215 0.7× 240 0.8× 127 0.6× 93 1.7k
Guoshi Liu China 29 667 1.8× 293 0.9× 877 2.8× 362 1.2× 221 1.0× 113 2.7k
D. J. Flint United Kingdom 27 706 1.9× 540 1.7× 143 0.5× 607 2.1× 389 1.8× 74 2.4k
D. van der Heide Netherlands 23 347 0.9× 77 0.2× 121 0.4× 200 0.7× 163 0.8× 71 1.6k
Changjiu He China 24 758 2.0× 150 0.5× 545 1.8× 272 0.9× 121 0.6× 66 2.2k
A. Basse Denmark 25 576 1.5× 100 0.3× 238 0.8× 149 0.5× 925 4.4× 59 1.9k

Countries citing papers authored by Mario Baratta

Since Specialization
Citations

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

Fields of papers citing papers by Mario Baratta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Baratta

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Baratta. A scholar is included among the top collaborators of Mario Baratta 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 Mario Baratta. Mario Baratta 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.
2.
Ala, Ugo, Elisabetta Macchi, Paola Toschi, et al.. (2024). Expression profiles of circulating miRNAs in an endangered Piedmontese sheep breed during the estrus cycle. Frontiers in Veterinary Science. 11. 1458463–1458463. 1 indexed citations
3.
Ala, Ugo, Paolo Cornale, Elisabetta Macchi, et al.. (2023). Adaptation Response in Sheep: Ewes in Different Cortisol Clusters Reveal Changes in the Expression of Salivary miRNAs. Animals. 13(20). 3273–3273. 2 indexed citations
4.
Toschi, Paola, et al.. (2023). Modulatory role of mTOR in trophoblast adaptive response in the early stage of placentation in sheep. Reproduction. 165(3). 313–324. 4 indexed citations
5.
Rossi, Franca, et al.. (2023). Emetic and Diarrheal Toxins Detection and Typing of Bacillus cereus in Food and Human Milk in Italy. European Journal of Public Health. 33(Supplement_2). 2 indexed citations
6.
Accornero, Paolo, et al.. (2019). Analysis of mesenchymal cells (MSCs) from bone marrow, synovial fluid and mesenteric, neck and tail adipose tissue sources from equines. Stem Cell Research. 37. 101442–101442. 21 indexed citations
7.
Martignani, Eugenio, Silvia Miretti, Leila Vincenti, & Mario Baratta. (2018). Correlation between estrogen plasma level and miRNAs in muscle of Piedmontese cattle. Domestic Animal Endocrinology. 67. 37–41. 3 indexed citations
8.
Martignani, Eugenio, et al.. (2015). Generation of Induced Pluripotent Stem Cells from Bovine Epithelial Cells and Partial Redirection Toward a Mammary Phenotype In Vitro. Cellular Reprogramming. 17(3). 211–220. 24 indexed citations
9.
Baratta, Mario, Daniele Nucera, Gianfranco Gabai, et al.. (2015). Differential expression of living mammary epithelial cell subpopulations in milk during lactation in dairy cows. Journal of Dairy Science. 98(10). 6897–6904. 13 indexed citations
10.
Martignani, Eugenio, et al.. (2014). Bovine mammary stem cells: new perspective for dairy science. Veterinary Quarterly. 34(1). 52–58. 15 indexed citations
11.
Accornero, Paolo, Silvia Miretti, Francesca Bersani, et al.. (2012). Met Receptor Acts Uniquely for Survival and Morphogenesis of EGFR-Dependent Normal Mammary Epithelial and Cancer Cells. PLoS ONE. 7(9). e44982–e44982. 15 indexed citations
12.
Mattioli, M., Alessia Gloria, Paolo Berardinelli, et al.. (2012). Osteo-regenerative potential of ovarian granulosa cells: An in vitro and in vivo study. Theriogenology. 77(7). 1425–1437. 24 indexed citations
13.
Martignani, Eugenio, et al.. (2012). Identification of Goat Mammary Stem/Progenitor Cells1. Biology of Reproduction. 86(4). 117–117. 21 indexed citations
14.
Martignani, Eugenio, Silvia Miretti, Paolo Accornero, & Mario Baratta. (2011). miRNAs Highlights in Stem and Cancer Cells. Mini-Reviews in Medicinal Chemistry. 11(13). 1165–1182. 19 indexed citations
15.
Macchi, Elisabetta, et al.. (2006). Leptin concentration in plasma and in milk during the interpartum period in the mare. Animal Reproduction Science. 97(1-2). 180–185. 11 indexed citations
16.
Accornero, Paolo, et al.. (2006). Leptin enhances STAT-3 phosphorylation in HC11 cell line: Effect on cell differentiation and cell viability. Molecular and Cellular Endocrinology. 263(1-2). 149–155. 9 indexed citations
17.
18.
Dixit, Vishva M., et al.. (2002). Growth Hormone Secretagogue (GHS) Analogue, Hexarelin Stimulates GH From Peripheral Lymphocytes. Experimental and Clinical Endocrinology & Diabetes. 110(7). 343–347. 17 indexed citations
19.
Paulson, Susan K., Douglas M. Fast, Mario Baratta, et al.. (1999). Plasma protein binding of celecoxib in mice, rat, rabbit, dog and human. Biopharmaceutics & Drug Disposition. 20(6). 293–299. 57 indexed citations
20.
Baratta, Mario, et al.. (1997). Modulation by Galanin of Growth Hormone and Gonadotropin Secretion from Perifused Pituitary and Median Eminence of Prepubertal Male Calves. Neuroendocrinology. 66(4). 271–277. 24 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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