Sara Monaco

547 total citations
8 papers, 470 citations indexed

About

Sara Monaco is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sara Monaco has authored 8 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sara Monaco's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Metabolism, Diabetes, and Cancer (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). Sara Monaco is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Metabolism, Diabetes, and Cancer (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). Sara Monaco collaborates with scholars based in Italy and United States. Sara Monaco's co-authors include Maddalena Illario, Bruno Trimarco, Ersilia Cipolletta, Angela Serena Maione, Guido Iaccarino, Guido Rossi, Mario Vitale, Gianfranco Fenzi, Daniela Sorriento and Carmine Del Giudice and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and European Journal of Medicinal Chemistry.

In The Last Decade

Sara Monaco

8 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Monaco Italy	8	258	132	62	57	45	8	470
Changqing Du China	13	231 0.9×	137 1.0×	51 0.8×	34 0.6×	90 2.0×	36	466
Laila Elsherif United States	10	248 1.0×	252 1.9×	60 1.0×	47 0.8×	50 1.1×	21	665
Masakuni Noda Japan	11	317 1.2×	157 1.2×	97 1.6×	32 0.6×	38 0.8×	15	602
Mary Blonski United States	11	292 1.1×	114 0.9×	45 0.7×	78 1.4×	45 1.0×	13	835
Elaine M. Smolock United States	15	257 1.0×	83 0.6×	59 1.0×	39 0.7×	71 1.6×	24	490
Egidius H.J. Heerkens United Kingdom	9	184 0.7×	155 1.2×	116 1.9×	35 0.6×	47 1.0×	12	464
Mar Orriols Spain	14	285 1.1×	139 1.1×	40 0.6×	30 0.5×	95 2.1×	20	635
Alexander Widiapradja Australia	12	186 0.7×	105 0.8×	108 1.7×	52 0.9×	50 1.1×	17	569
Mohamed Adam Canada	16	290 1.1×	64 0.5×	27 0.4×	44 0.8×	44 1.0×	18	520
Xianxian Zhao China	14	430 1.7×	65 0.5×	80 1.3×	58 1.0×	53 1.2×	21	784

Countries citing papers authored by Sara Monaco

Since Specialization

Citations

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

Fields of papers citing papers by Sara Monaco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Monaco

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

All Works

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8 of 8 papers shown

Monaco, Sara, Maria Rosaria Rusciano, Angela Serena Maione, et al.. (2014). A novel crosstalk between calcium/calmodulin kinases II and IV regulates cell proliferation in myeloid leukemia cells. Cellular Signalling. 27(2). 204–214. 31 indexed citations

Sala, Marina, Maria Rosaria Rusciano, Sara Monaco, et al.. (2013). Characterization of a selective CaMKII peptide inhibitor. European Journal of Medicinal Chemistry. 62. 425–434. 19 indexed citations

Santulli, Gaetano, Ersilia Cipolletta, Daniela Sorriento, et al.. (2012). CaMK4 Gene Deletion Induces Hypertension. Journal of the American Heart Association. 1(4). e001081–e001081. 180 indexed citations

Cipolletta, Ersilia, Sara Monaco, Angela Serena Maione, et al.. (2010). Calmodulin-Dependent Kinase II Mediates Vascular Smooth Muscle Cell Proliferation and Is Potentiated by Extracellular Signal Regulated Kinase. Endocrinology. 151(6). 2747–2759. 64 indexed citations

Illario, Maddalena, Sara Monaco, Anna Lina Cavallo, et al.. (2009). Calcium-calmodulin-dependent kinase II (CaMKII) mediates insulin-stimulated proliferation and glucose uptake. Cellular Signalling. 21(5). 786–792. 45 indexed citations

Monaco, Sara, Maddalena Illario, Maria Rosaria Rusciano, et al.. (2009). Insulin stimulates fibroblast proliferation through calcium-calmodulin-dependent kinase II. Cell Cycle. 8(13). 2024–2030. 37 indexed citations

Rusciano, Maria Rosaria, Marcella Salzano, Sara Monaco, et al.. (2009). The Ca2+–calmodulin-dependent kinase II is activated in papillary thyroid carcinoma (PTC) and mediates cell proliferation stimulated by RET/PTC. Endocrine Related Cancer. 17(1). 113–123. 24 indexed citations

Illario, Maddalena, Anna Lina Cavallo, Sara Monaco, et al.. (2005). Fibronectin-Induced Proliferation in Thyroid Cells Is Mediated by αvβ3 Integrin through Ras/Raf-1/MEK/ERK and Calcium/CaMKII Signals. The Journal of Clinical Endocrinology & Metabolism. 90(5). 2865–2873. 70 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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