Vania De Arcangelis

704 total citations
15 papers, 587 citations indexed

About

Vania De Arcangelis is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Vania De Arcangelis has authored 15 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Pharmacology and 4 papers in Physiology. Recurrent topics in Vania De Arcangelis's work include Phosphodiesterase function and regulation (8 papers), Receptor Mechanisms and Signaling (7 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Vania De Arcangelis is often cited by papers focused on Phosphodiesterase function and regulation (8 papers), Receptor Mechanisms and Signaling (7 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Vania De Arcangelis collaborates with scholars based in United States, Italy and France. Vania De Arcangelis's co-authors include Dagoberto Soto, Yang K. Xiang, Ruijie Liu, Yang Xiang, Biswarathan Ramani, Sergio Adamo, Fabio Naro, Georges Némoz, Michel Lagarde and Jin Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Circulation Research.

In The Last Decade

Vania De Arcangelis

15 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vania De Arcangelis United States	15	423	168	127	121	64	15	587
Manveen K. Gupta United States	15	333 0.8×	107 0.6×	90 0.7×	123 1.0×	23 0.4×	22	595
Lukas Weigl Austria	16	447 1.1×	128 0.8×	97 0.8×	237 2.0×	52 0.8×	36	678
Todd L. Anthony United States	12	317 0.7×	54 0.3×	99 0.8×	124 1.0×	66 1.0×	25	614
Ryoichi X. Ioka Japan	7	313 0.7×	92 0.5×	70 0.6×	81 0.7×	33 0.5×	8	581
Susanne Hollinger United States	7	779 1.8×	60 0.4×	88 0.7×	302 2.5×	23 0.4×	7	929
László Szidonya Hungary	12	342 0.8×	126 0.8×	52 0.4×	216 1.8×	128 2.0×	24	633
Anju A. Roy Canada	8	543 1.3×	85 0.5×	46 0.4×	146 1.2×	26 0.4×	8	635
Andrea Ahles Germany	9	396 0.9×	150 0.9×	61 0.5×	155 1.3×	8 0.1×	12	630
Misbah Malik‐Hall United Kingdom	9	348 0.8×	43 0.3×	231 1.8×	222 1.8×	26 0.4×	10	527
Geula Hanin Israel	13	438 1.0×	31 0.2×	102 0.8×	77 0.6×	106 1.7×	24	664

Countries citing papers authored by Vania De Arcangelis

Since Specialization

Citations

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

Fields of papers citing papers by Vania De Arcangelis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vania De Arcangelis. 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 Vania De Arcangelis. The network helps show where Vania De Arcangelis may publish in the future.

Co-authorship network of co-authors of Vania De Arcangelis

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Fu, Qin, Sung‐Jin Kim, Dagoberto Soto, et al.. (2014). A Long Lasting β1 Adrenergic Receptor Stimulation of cAMP/Protein Kinase A (PKA) Signal in Cardiac Myocytes. Journal of Biological Chemistry. 289(21). 14771–14781. 27 indexed citations

Wang, Dayong, Gubbi Govindaiah, Ruijie Liu, et al.. (2010). Binding of amyloid β peptide to β ₂ adrenergic receptor induces PKA‐dependent AMPA receptor hyperactivity. The FASEB Journal. 24(9). 3511–3521. 73 indexed citations

Sellers, Zachary M., Vania De Arcangelis, Yang K. Xiang, & Philip M. Best. (2010). Cardiomyocytes with disrupted CFTR function require CaMKII and Ca²⁺‐activated Cl⁻ channel activity to maintain contraction rate. The Journal of Physiology. 588(13). 2417–2429. 41 indexed citations

Arcangelis, Vania De, Shubai Liu, Dawen Zhang, Dagoberto Soto, & Yang K. Xiang. (2010). Equilibrium between Adenylyl Cyclase and Phosphodiesterase Patterns Adrenergic Agonist Dose-Dependent Spatiotemporal cAMP/Protein Kinase A Activities in Cardiomyocytes. Molecular Pharmacology. 78(3). 340–349. 30 indexed citations

Liu, Ruijie, Biswarathan Ramani, Dagoberto Soto, Vania De Arcangelis, & Yang Xiang. (2009). Agonist Dose-dependent Phosphorylation by Protein Kinase A and G Protein-coupled Receptor Kinase Regulates β2 Adrenoceptor Coupling to Gi Proteins in Cardiomyocytes. Journal of Biological Chemistry. 284(47). 32279–32287. 52 indexed citations

Arcangelis, Vania De, Ruijie Liu, Dagoberto Soto, & Yang Xiang. (2009). Differential Association of Phosphodiesterase 4D Isoforms with β2-Adrenoceptor in Cardiac Myocytes. Journal of Biological Chemistry. 284(49). 33824–33832. 56 indexed citations

Soto, Dagoberto, Vania De Arcangelis, Jin Zhang, & Yang K. Xiang. (2009). Dynamic Protein Kinase A Activities Induced by β-Adrenoceptors Dictate Signaling Propagation for Substrate Phosphorylation and Myocyte Contraction. Circulation Research. 104(6). 770–779. 46 indexed citations

Arcangelis, Vania De, Dagoberto Soto, & Yang Xiang. (2008). Phosphodiesterase 4 and Phosphatase 2A Differentially Regulate cAMP/Protein Kinase A Signaling for Cardiac Myocyte Contraction under Stimulation of β1 Adrenergic Receptor. Molecular Pharmacology. 74(5). 1453–1462. 28 indexed citations

Wang, Yongyu, Vania De Arcangelis, Xiaoguang Gao, et al.. (2007). Norepinephrine- and Epinephrine-induced Distinct β2-Adrenoceptor Signaling Is Dictated by GRK2 Phosphorylation in Cardiomyocytes. Journal of Biological Chemistry. 283(4). 1799–1807. 56 indexed citations

10.

Komati, Hiba, Fabio Naro, Saïda Mebarek, et al.. (2004). Phospholipase D Is Involved in Myogenic Differentiation through Remodeling of Actin Cytoskeleton. Molecular Biology of the Cell. 16(3). 1232–1244. 65 indexed citations

11.

Naro, Fabio, Vania De Arcangelis, Claudio Sette, et al.. (2003). A Bimodal Modulation of the cAMP Pathway Is Involved in the Control of Myogenic Differentiation in L6 Cells. Journal of Biological Chemistry. 278(49). 49308–49315. 16 indexed citations

12.

Arcangelis, Vania De, Dario Coletti, Marco Conti, et al.. (2003). IGF-I–induced Differentiation of L6 Myogenic Cells Requires the Activity of cAMP-Phosphodiesterase. Molecular Biology of the Cell. 14(4). 1392–1404. 26 indexed citations

13.

Naro, Fabio, Vania De Arcangelis, Dario Coletti, et al.. (2003). Increase in cytosolic Ca²⁺ induced by elevation of extracellular Ca²⁺ in skeletal myogenic cells. American Journal of Physiology-Cell Physiology. 284(4). C969–C976. 22 indexed citations

14.

Negri, Rodolfo, et al.. (2001). Sequence dependence of translational positioning of core nucleosomes 1 1Edited by T. Richmond. Journal of Molecular Biology. 307(4). 987–999. 18 indexed citations

15.

Naro, Fabio, Claudio Sette, Elena Vicini, et al.. (1999). Involvement of Type 4 cAMP-Phosphodiesterase in the Myogenic Differentiation of L6 Cells. Molecular Biology of the Cell. 10(12). 4355–4367. 31 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.

Explore authors with similar magnitude of impact