Marco Martari

430 total citations
7 papers, 215 citations indexed

About

Marco Martari is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Marco Martari has authored 7 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Genetics and 2 papers in Surgery. Recurrent topics in Marco Martari's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Virus-based gene therapy research (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). Marco Martari is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Virus-based gene therapy research (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). Marco Martari collaborates with scholars based in United States, Belgium and Italy. Marco Martari's co-authors include Roberto Salvatori, Maria Nesterova, Limor Drori-Herishanu, Maya Lodish, Anélia Horvath, Constantine A. Stratakis, Sosipatros A. Boikos, K.M. Tsang, Samantha Franklin and Margarita Raygada and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Endocrinology and Human Gene Therapy.

In The Last Decade

Marco Martari

7 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Martari United States	7	148	83	68	51	33	7	215
Nikolaos Settas United States	9	123 0.8×	107 1.3×	111 1.6×	22 0.4×	24 0.7×	19	302
Gabriela Sansó Argentina	7	167 1.1×	134 1.6×	38 0.6×	66 1.3×	46 1.4×	16	254
Daniela Gaia Italy	10	384 2.6×	121 1.5×	65 1.0×	140 2.7×	37 1.1×	11	440
Elina Heliövaara Finland	6	191 1.3×	104 1.3×	83 1.2×	76 1.5×	25 0.8×	7	271
Howard M. Lando United States	6	186 1.3×	158 1.9×	40 0.6×	21 0.4×	19 0.6×	9	239
Susan E. Stewart United Kingdom	7	248 1.7×	99 1.2×	35 0.5×	109 2.1×	12 0.4×	7	339
Craig E Stiles United Kingdom	9	245 1.7×	145 1.7×	62 0.9×	47 0.9×	18 0.5×	12	291
Eigil Husted Nielsen Denmark	9	296 2.0×	102 1.2×	47 0.7×	40 0.8×	10 0.3×	15	322
Liliya Rostomyan Belgium	11	254 1.7×	133 1.6×	58 0.9×	54 1.1×	37 1.1×	18	301
Valter Ângelo Sperling Cescato Brazil	11	276 1.9×	130 1.6×	47 0.7×	71 1.4×	27 0.8×	30	352

Countries citing papers authored by Marco Martari

Since Specialization

Citations

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

Fields of papers citing papers by Marco Martari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Martari

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Martari. A scholar is included among the top collaborators of Marco Martari 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 Marco Martari. Marco Martari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Stratakis, Constantine A., Sosipatros A. Boikos, Maya Lodish, et al.. (2010). The role of germline AIP, MEN1, PRKAR1A, CDKN1B and CDKN2C mutations in causing pituitary adenomas in a large cohort of children, adolescents, and patients with genetic syndromes. Clinical Genetics. 78(5). 457–463. 132 indexed citations

Martari, Marco, et al.. (2009). Partial Rescue of Growth Failure in Growth Hormone (GH)-Deficient Mice by a Single Injection of a Double-Stranded Adeno-Associated Viral Vector Expressing the GH Gene Driven by a Muscle-Specific Regulatory Cassette. Human Gene Therapy. 20(7). 759–766. 26 indexed citations

Drori-Herishanu, Limor, Anélia Horvath, Maria Nesterova, et al.. (2009). An Intronic Mutation is Associated with Prolactinoma in a Young Boy, Decreased Penetrance in his Large Family, and Variable Effects onMEN1 mRNAand Protein. Hormone and Metabolic Research. 41(8). 630–634. 13 indexed citations

Martari, Marco & Roberto Salvatori. (2009). Chapter 3 Diseases Associated with Growth Hormone‐Releasing Hormone Receptor (GHRHR) Mutations. Progress in molecular biology and translational science. 88. 57–84. 20 indexed citations

Martari, Marco, et al.. (2009). Mutation Analysis of the Muscarinic Cholinergic Receptor Genes in Isolated Growth Hormone Deficiency Type IB. The Journal of Clinical Endocrinology & Metabolism. 94(7). 2565–2570. 7 indexed citations

Beckers, Albert, Jean-François Vanbellinghen, Sosipatros A. Boikos, et al.. (2008). Germline AIP, MEN1, PRKAR1A, CDKN1B (p27Kip1) and CDKN2C (p18INK4c) gene mutations in a large cohort of pediatric patients with pituitary adenomas occurring in isolation or with associated syndromic features. Open Repository and Bibliography (University of Liège). 10 indexed citations

Wang, Zhong, et al.. (2007). A single injection of double-stranded adeno-associated viral vector expressing GH normalizes growth in GH-deficient mice. Journal of Endocrinology. 196(1). 79–88. 7 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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