Federica Marelli

837 total citations
34 papers, 537 citations indexed

About

Federica Marelli is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Federica Marelli has authored 34 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Genetics. Recurrent topics in Federica Marelli's work include Thyroid Disorders and Treatments (13 papers), Congenital heart defects research (8 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Federica Marelli is often cited by papers focused on Thyroid Disorders and Treatments (13 papers), Congenital heart defects research (8 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Federica Marelli collaborates with scholars based in Italy, United Kingdom and Israel. Federica Marelli's co-authors include Luca Persani, Tiziana de Filippis, Marco Bonomi, Maria Cristina Vigone, Giovanna Weber, Giorgio Radetti, Franco Cotelli, Silvia Carra, Giulia Gelmini and Patrizia Porazzi and has published in prestigious journals such as Molecular and Cellular Biology, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Federica Marelli

33 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federica Marelli Italy 13 258 252 178 62 47 34 537
Yoshitaka Imamichi Japan 17 170 0.7× 277 1.1× 251 1.4× 13 0.2× 24 0.5× 35 598
Eckhard Korsch Germany 16 207 0.8× 421 1.7× 224 1.3× 63 1.0× 103 2.2× 28 756
Soichiro Shizawa Japan 9 166 0.6× 127 0.5× 101 0.6× 18 0.3× 149 3.2× 10 453
Elena Bueno‐Martínez Spain 12 248 1.0× 233 0.9× 174 1.0× 93 1.5× 13 0.3× 28 537
Ken‐ichirou Morohashi Japan 11 158 0.6× 423 1.7× 441 2.5× 22 0.4× 45 1.0× 12 623
Florence Roucher‐Boulez France 13 194 0.8× 223 0.9× 167 0.9× 50 0.8× 77 1.6× 36 517
Premlata Kumar United States 10 62 0.2× 318 1.3× 170 1.0× 59 1.0× 13 0.3× 11 566
Michael J McPhaul United States 6 126 0.5× 144 0.6× 131 0.7× 13 0.2× 37 0.8× 9 353
Amiya Sinha Hikim United States 11 263 1.0× 199 0.8× 74 0.4× 32 0.5× 62 1.3× 13 711
C C Moore United States 10 312 1.2× 547 2.2× 639 3.6× 39 0.6× 56 1.2× 11 963

Countries citing papers authored by Federica Marelli

Since Specialization
Citations

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

Fields of papers citing papers by Federica Marelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Marelli

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Marelli. A scholar is included among the top collaborators of Federica Marelli 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 Federica Marelli. Federica Marelli 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.
Vezzoli, Valeria, et al.. (2023). Short-Term Exposure to Benzo(a)Pyrene Causes Disruption of GnRH Network in Zebrafish Embryos. International Journal of Molecular Sciences. 24(8). 6913–6913. 5 indexed citations
2.
Marelli, Federica, Georgios Papadakis, Lucia Bartoloni, et al.. (2023). Defective jagged-1 signaling affects GnRH development and contributes to congenital hypogonadotropic hypogonadism. JCI Insight. 8(5). 1 indexed citations
3.
Marelli, Federica, Lucia Bartoloni, Naoko Sato, et al.. (2023). Defective jagged-1 signaling affects GnRH development and contributes to congenital hypogonadotropic hypogonadism. Yearbook of pediatric endocrinology.
5.
Marelli, Federica, et al.. (2021). From Endoderm to Progenitors: An Update on the Early Steps of Thyroid Morphogenesis in the Zebrafish. Frontiers in Endocrinology. 12. 664557–664557. 11 indexed citations
6.
Mancini, Alessandra, Sasha Howard, Federica Marelli, et al.. (2020). LGR4 deficiency results in delayed puberty through impaired Wnt/β-catenin signaling. JCI Insight. 5(11). 44 indexed citations
7.
Marelli, Federica, Valeria Vezzoli, David A. Prober, et al.. (2020). Prokineticin receptor 2 affects GnRH3 neuron ontogeny but not fertility in zebrafish. Scientific Reports. 10(1). 7632–7632. 5 indexed citations
8.
Cicco, Emery Di, Monica Dentice, Domenico Salvatore, et al.. (2020). Thyroid Hormone Hyposensitivity: From Genotype to Phenotype and Back. Frontiers in Endocrinology. 10. 912–912. 9 indexed citations
9.
Marelli, Federica, Valeria Vezzoli, David A. Prober, et al.. (2020). Publisher Correction: Prokineticin receptor 2 affects GnRH3 neuron ontogeny but not fertility in zebrafish. Scientific Reports. 10(1). 8352–8352. 3 indexed citations
10.
Marelli, Federica, et al.. (2019). Glis3 as a Critical Regulator of Thyroid Primordium Specification. Thyroid. 30(2). 277–289. 12 indexed citations
11.
Persani, Luca, et al.. (2018). GLIS3 and Thyroid: A Pleiotropic Candidate Gene for Congenital Hypothyroidism. Frontiers in Endocrinology. 9. 730–730. 13 indexed citations
12.
Marelli, Federica & Luca Persani. (2018). Role of TRs in Zebrafish Development. Methods in molecular biology. 1801. 287–298. 2 indexed citations
13.
Marelli, Federica & Luca Persani. (2017). Role of Jagged1-Notch pathway in thyroid development. Journal of Endocrinological Investigation. 41(1). 75–81. 24 indexed citations
14.
Filippis, Tiziana de, Giulia Gelmini, Elvezia Maria Paraboschi, et al.. (2017). A frequent oligogenic involvement in congenital hypothyroidism. Human Molecular Genetics. 26(13). 2507–2514. 96 indexed citations
15.
Filippis, Tiziana de, Federica Marelli, Gabriella Nebbia, et al.. (2016). JAG1 Loss-Of-Function Variations as a Novel Predisposing Event in the Pathogenesis of Congenital Thyroid Defects. The Journal of Clinical Endocrinology & Metabolism. 101(3). 861–870. 40 indexed citations
16.
Calebiro, Davide, Giulia Gelmini, Daniela Cordella, et al.. (2011). Frequent TSH Receptor Genetic Alterations with Variable Signaling Impairment in a Large Series of Children with Nonautoimmune Isolated Hyperthyrotropinemia. The Journal of Clinical Endocrinology & Metabolism. 97(1). E156–E160. 40 indexed citations
17.
Passeri, Elena, Tiziana de Filippis, Rea Valaperta, et al.. (2011). Increased Risk for Non-Autoimmune Hypothyroidism in Young Patients with Congenital Heart Defects. The Journal of Clinical Endocrinology & Metabolism. 96(7). E1115–E1119. 26 indexed citations
18.
Persani, Luca, Giulia Gelmini, Federica Marelli, P. Beck‐Peccoz, & Marco Bonomi. (2011). Syndromes of resistance to TSH. Annales d Endocrinologie. 72(2). 60–63. 6 indexed citations
19.
Zocchi, Maria Raffaella, Federica Marelli, & Alessandro Poggi. (1990). Simultaneous cytofluorometric analysis for the expression of cytoplasmic antigens and DNA content in CD3 human thymocytes. Cytometry. 11(8). 883–887. 4 indexed citations
20.
Zocchi, Maria Raffaella, Federica Marelli, & Alessandro Poggi. (1990). CD1+ thymocytes proliferate and give rise to functional cells after stimulation with monoclonal antibodies recognizing CD3, CD2 or CD28 surface molecules. Cellular Immunology. 129(2). 394–403. 4 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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