Giovanni Paternostro

2.3k total citations
41 papers, 1.7k citations indexed

About

Giovanni Paternostro is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Giovanni Paternostro has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Ecology. Recurrent topics in Giovanni Paternostro's work include Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (9 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Giovanni Paternostro is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (9 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Giovanni Paternostro collaborates with scholars based in United States, United Kingdom and Italy. Giovanni Paternostro's co-authors include Andrew D. McCulloch, John C. Reed, Jacob Feala, Laurence Coquin, Yunyi Kang, Stefano Tiziani, Carlo Piermarocchi, G. K. Radda, Marcus Kaul and William Roberts and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Giovanni Paternostro

41 papers receiving 1.7k citations

Peers

Giovanni Paternostro

CCM

RNMI

CMN

Vitaly A. Selivanov Spain

Kyoungmi Kim South Korea

Keith Elliston United States

Scott Dudek United States

Thomas M. Vondriska United States

Arthur R. Salomon United States

Brian K. Erickson United States

Elmar Krause Germany

Amnon Harel Israel

Vitaly A. Selivanov Spain

Giovanni Paternostro

1.3k ×1.2

257 ×0.7

CCM

55 ×0.3

RNMI

282 ×1.8

111 ×0.7

CMN

Citations per year, relative to Giovanni Paternostro Giovanni Paternostro (= 1×) peers Vitaly A. Selivanov

Countries citing papers authored by Giovanni Paternostro

Since Specialization

Citations

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

Fields of papers citing papers by Giovanni Paternostro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Paternostro

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

All Works

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20 of 20 papers shown

Domanskyi, Sergii, et al.. (2022). Naturally occurring combinations of receptors from single cell transcriptomics in endothelial cells. Scientific Reports. 12(1). 5807–5807. 2 indexed citations

Domanskyi, Sergii, et al.. (2021). Digital Cell Sorter (DCS): a cell type identification, anomaly detection, and Hopfield landscapes toolkit for single-cell transcriptomics. PeerJ. 9. e10670–e10670. 4 indexed citations

Lee, Seung‐Hee, Daniel A. Cunha, Carlo Piermarocchi, et al.. (2017). High-throughput screening and bioinformatic analysis to ascertain compounds that prevent saturated fatty acid-induced β-cell apoptosis. Biochemical Pharmacology. 138. 140–149. 20 indexed citations

Smith, Nicholas H., et al.. (2017). Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems. PLoS Computational Biology. 13(11). e1005849–e1005849. 11 indexed citations

Smith, Nicholas H., et al.. (2016). Evolutionary and Topological Properties of Genes and Community Structures in Human Gene Regulatory Networks. PLoS Computational Biology. 12(6). e1005009–e1005009. 7 indexed citations

Kang, Yunyi, Matthew Tierney, Edison Ong, et al.. (2015). Combinations of Kinase Inhibitors Protecting Myoblasts against Hypoxia. PLoS ONE. 10(6). e0126718–e0126718. 3 indexed citations

Kang, Yunyi, et al.. (2014). Cellular protection using Flt3 and PI3Kα inhibitors demonstrates multiple mechanisms of oxidative glutamate toxicity. Nature Communications. 5(1). 3672–3672. 110 indexed citations

Kang, Yunyi, Andrew P. Hodges, Edison Ong, et al.. (2014). Identification of Drug Combinations Containing Imatinib for Treatment of BCR-ABL+ Leukemias. PLoS ONE. 9(7). e102221–e102221. 18 indexed citations

Tiziani, Stefano, Yunyi Kang, J Axelrod, et al.. (2013). Metabolomics of the Tumor Microenvironment in Pediatric Acute Lymphoblastic Leukemia. PLoS ONE. 8(12). e82859–e82859. 45 indexed citations

10.

Tiziani, Stefano, Yunyi Kang, Janet S. Choi, William Roberts, & Giovanni Paternostro. (2011). Metabolomic high-content nuclear magnetic resonance-based drug screening of a kinase inhibitor library. Nature Communications. 2(1). 545–545. 49 indexed citations

11.

Feala, Jacob, Laurence Coquin, Dan Zhou, et al.. (2009). Metabolism as means for hypoxia adaptation: metabolic profiling and flux balance analysis. BMC Systems Biology. 3(1). 91–91. 53 indexed citations

12.

Coquin, Laurence, Jacob Feala, Andrew D. McCulloch, & Giovanni Paternostro. (2008). Metabolomic and flux‐balance analysis of age‐related decline of hypoxia tolerance in Drosophila muscle tissue. Molecular Systems Biology. 4(1). 233–233. 46 indexed citations

13.

Feala, Jacob, Jeffrey H. Omens, Giovanni Paternostro, & Andrew D. McCulloch. (2008). Discovering Regulators of theDrosophilaCardiac Hypoxia Response Using Automated Phenotyping Technology. Annals of the New York Academy of Sciences. 1123(1). 169–177. 8 indexed citations

14.

Calzolari, Diego, et al.. (2007). Selective Control of the Apoptosis Signaling Network in Heterogeneous Cell Populations. PLoS ONE. 2(6). e547–e547. 16 indexed citations

15.

Feala, Jacob, Laurence Coquin, Andrew D. McCulloch, & Giovanni Paternostro. (2007). Flexibility in energy metabolism supports hypoxia tolerance in Drosophila flight muscle: metabolomic and computational systems analysis. Molecular Systems Biology. 3(1). 99–99. 76 indexed citations

16.

Feala, Jacob, Laurence Coquin, Giovanni Paternostro, & Andrew D. McCulloch. (2007). Integrating metabolomics and phenomics with systems models of cardiac hypoxia. Progress in Biophysics and Molecular Biology. 96(1-3). 209–225. 14 indexed citations

17.

McCulloch, Andrew D. & Giovanni Paternostro. (2005). Cardiac Systems Biology. Annals of the New York Academy of Sciences. 1047(1). 283–295. 23 indexed citations

18.

Ferrarini, Luca, Luca Bertelli, Jacob Feala, Andrew D. McCulloch, & Giovanni Paternostro. (2004). A more efficient search strategy for aging genes based on connectivity. Bioinformatics. 21(3). 338–348. 45 indexed citations

19.

Paternostro, Giovanni. (1999). Insulin resistance in patients with cardiac hypertrophy. Cardiovascular Research. 42(1). 246–253. 105 indexed citations

20.

Paternostro, Giovanni, P.G. Camici, Ragavendra R. Baliga, et al.. (1996). Cardiac and skeletal muscle insulin resistance in patients with coronary heart disease. A study with positron emission tomography.. Journal of Clinical Investigation. 98(9). 2094–2099. 128 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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