Valeria Mancino

3.4k total citations · 1 hit paper
19 papers, 2.7k citations indexed

About

Valeria Mancino is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Valeria Mancino has authored 19 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Physiology. Recurrent topics in Valeria Mancino's work include Genetic and Kidney Cyst Diseases (5 papers), Biomedical Research and Pathophysiology (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Valeria Mancino is often cited by papers focused on Genetic and Kidney Cyst Diseases (5 papers), Biomedical Research and Pathophysiology (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Valeria Mancino collaborates with scholars based in United States and Germany. Valeria Mancino's co-authors include Melvin I. Simon, Bruce W. Birren, Tatiana I. Slepak, H. Shizuya, Stefan Offermanns, Jean‐Paul Revel, Yuling Sheng, Ung‐Jin Kim, Hiroaki Shizuya and Cecilie Boysen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Valeria Mancino

18 papers receiving 2.6k citations

Hit Papers

Cloning and stable maintenance of 300-kilobase-pair fragm... 1992 2026 2003 2014 1992 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valeria Mancino United States 12 1.8k 693 611 232 192 19 2.7k
Hans Weiher Germany 28 2.5k 1.4× 934 1.3× 325 0.5× 146 0.6× 219 1.1× 61 3.7k
Е. Д. Свердлов Russia 19 2.5k 1.4× 697 1.0× 1.2k 2.0× 251 1.1× 119 0.6× 71 3.9k
Gabriel Mazzucchelli Belgium 29 1.2k 0.7× 280 0.4× 269 0.4× 178 0.8× 81 0.4× 97 2.7k
Reiko Kikuno Japan 23 2.1k 1.2× 372 0.5× 281 0.5× 74 0.3× 227 1.2× 46 3.1k
Kathleen H. Cox United States 21 2.7k 1.5× 450 0.6× 1.0k 1.7× 68 0.3× 322 1.7× 32 3.7k
Alison Cowie United Kingdom 28 1.4k 0.8× 786 1.1× 786 1.3× 631 2.7× 118 0.6× 46 3.0k
Renae L. Malek United States 19 1.6k 0.9× 313 0.5× 762 1.2× 128 0.6× 85 0.4× 28 2.5k
Toshihiko Eki Japan 29 2.1k 1.2× 451 0.7× 433 0.7× 302 1.3× 203 1.1× 106 2.9k
Betty Huang United States 19 2.8k 1.6× 495 0.7× 798 1.3× 191 0.8× 162 0.8× 31 4.5k

Countries citing papers authored by Valeria Mancino

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Mancino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Mancino

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

All Works

19 of 19 papers shown
2.
Huang, Yi, Valeria Mancino, Jessica Pham, et al.. (2024). Oral delivery of nanomedicine for genetic kidney disease. PNAS Nexus. 3(5). pgae187–pgae187. 6 indexed citations
3.
Huang, Yi, Jessica Pham, Valeria Mancino, et al.. (2024). Investigation of Basolateral Targeting Micelles for Drug Delivery Applications in Polycystic Kidney Disease. Biomacromolecules. 25(5). 2749–2761. 8 indexed citations
4.
Hallows, Kenneth R., Hui Li, B. Saitta, et al.. (2022). Beneficial effects of bempedoic acid treatment in polycystic kidney disease cells and mice. Frontiers in Molecular Biosciences. 9. 1001941–1001941. 11 indexed citations
5.
Pastor‐Soler, Núria M., Hui Li, Jessica Pham, et al.. (2021). Metformin improves relevant disease parameters in an autosomal dominant polycystic kidney disease mouse model. American Journal of Physiology-Renal Physiology. 322(1). F27–F41. 42 indexed citations
6.
Chin, Deborah D., Christopher Poon, Valeria Mancino, et al.. (2020). Oral delivery of metformin by chitosan nanoparticles for polycystic kidney disease. Journal of Controlled Release. 329. 1198–1209. 66 indexed citations
7.
Saitta, B., et al.. (2020). Sex‐differences in AMPK activity and kidney function parameters post uninephrectomy. The FASEB Journal. 34(S1). 1–1. 1 indexed citations
8.
Mancino, Valeria, et al.. (2006). Phospholipase Cβ 3 Mediates the Scratching Response Activated by the Histamine H1 Receptor on C-Fiber Nociceptive Neurons. Neuron. 52(4). 691–703. 145 indexed citations
9.
Borchers, Michael T., Travis L. Biechele, J. Paul Justice, et al.. (2003). Methacholine-induced airway hyperresponsiveness is dependent on Gαqsignaling. American Journal of Physiology-Lung Cellular and Molecular Physiology. 285(1). L114–L120. 18 indexed citations
10.
Chen, Ching‐Kang, Pamela Eversole-Cire, Haikun Zhang, et al.. (2003). Instability of GGL domain-containing RGS proteins in mice lacking the G protein β-subunit Gβ5. Proceedings of the National Academy of Sciences. 100(11). 6604–6609. 175 indexed citations
11.
Gu, Jennifer, Stefan Müller, Valeria Mancino, Stefan Offermanns, & Melvin I. Simon. (2002). Interaction of Gα 12 with Gα 13 and Gα q signaling pathways. Proceedings of the National Academy of Sciences. 99(14). 9352–9357. 103 indexed citations
12.
Borchers, Michael T., Valeria Mancino, Michael P. McGarry, et al.. (2002). Gq Signaling Is Required for Allergen-Induced Pulmonary Eosinophilia. The Journal of Immunology. 168(7). 3543–3549. 18 indexed citations
13.
Borchers, Michael T., J. Paul Justice, Valeria Mancino, et al.. (2002). Gq signaling is required for allergen-induced pulmonary eosinophilia in the mouse. Journal of Allergy and Clinical Immunology. 109(1). S25–S25. 1 indexed citations
14.
Offermanns, Stefan, Valeria Mancino, Jean‐Paul Revel, & Melvin I. Simon. (1997). Vascular System Defects and Impaired Cell Chemokinesis as a Result of Gα 13 Deficiency. Science. 275(5299). 533–536. 280 indexed citations
15.
Kim, Ung‐Jin, Bruce W. Birren, Tatiana I. Slepak, et al.. (1996). Construction and Characterization of a Human Bacterial Artificial Chromosome Library. Genomics. 34(2). 213–218. 376 indexed citations
16.
Sheng, Yuling, Valeria Mancino, & Bruce W. Birren. (1995). Transformation ofEscherichia coliwith large DNA molecules by electroporation. Nucleic Acids Research. 23(11). 1990–1996. 152 indexed citations
17.
Shizuya, H., et al.. (1992). Cloning and stable maintenance of 300-kilobase-pair fragments of human DNA in Escherichia coli using an F-factor-based vector.. Proceedings of the National Academy of Sciences. 89(18). 8794–8797. 1237 indexed citations breakdown →
18.
Ferrone, Soldano, et al.. (1990). Interspecific DNA-mediated transfer and amplification of a gene specifying a Mr 100,000 human melanoma-associated cell surface glycoprotein.. PubMed. 50(5). 1559–65. 3 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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