Peter J. Gianakopoulos

440 total citations
7 papers, 185 citations indexed

About

Peter J. Gianakopoulos is a scholar working on Molecular Biology, Developmental Biology and Cognitive Neuroscience. According to data from OpenAlex, Peter J. Gianakopoulos has authored 7 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Developmental Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Peter J. Gianakopoulos's work include Hedgehog Signaling Pathway Studies (3 papers), Developmental Biology and Gene Regulation (2 papers) and Congenital limb and hand anomalies (2 papers). Peter J. Gianakopoulos is often cited by papers focused on Hedgehog Signaling Pathway Studies (3 papers), Developmental Biology and Gene Regulation (2 papers) and Congenital limb and hand anomalies (2 papers). Peter J. Gianakopoulos collaborates with scholars based in Canada, United States and Austria. Peter J. Gianakopoulos's co-authors include Ilona S. Skerjanc, Alan G. Ridgeway, Helen Petropoulos, Zizhen Yao, Berge A. Minassian, M Orlic-Milacic, Xiaonan Wang, Yi Cao, John B. Vincent and Stephen J. Tapscott and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

In The Last Decade

Peter J. Gianakopoulos

7 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. Gianakopoulos Canada 7 171 60 20 17 12 7 185
Antonella Fabretto Italy 7 99 0.6× 84 1.4× 17 0.8× 16 0.9× 8 0.7× 20 194
Gloria Negri Italy 8 125 0.7× 80 1.3× 39 1.9× 24 1.4× 16 1.3× 12 239
Yoko Hiraki Japan 10 97 0.6× 131 2.2× 21 1.1× 14 0.8× 10 0.8× 17 219
Volkan Okur United States 9 117 0.7× 112 1.9× 16 0.8× 14 0.8× 17 1.4× 15 205
Souad Gherbi France 8 103 0.6× 50 0.8× 15 0.8× 18 1.1× 13 1.1× 11 199
Sawitree Rattanasopha Thailand 4 227 1.3× 112 1.9× 18 0.9× 9 0.5× 10 0.8× 5 297
Juliette Piard France 10 151 0.9× 121 2.0× 15 0.8× 16 0.9× 15 1.3× 24 253
María J. Guillen Sacoto United States 10 118 0.7× 121 2.0× 12 0.6× 14 0.8× 23 1.9× 17 203
Sanne Janssen Canada 7 223 1.3× 107 1.8× 8 0.4× 21 1.2× 6 0.5× 9 282
Catherine Vincent‐Delorme France 8 100 0.6× 105 1.8× 14 0.7× 8 0.5× 10 0.8× 11 166

Countries citing papers authored by Peter J. Gianakopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Gianakopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Gianakopoulos. 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 Peter J. Gianakopoulos. The network helps show where Peter J. Gianakopoulos may publish in the future.

Co-authorship network of co-authors of Peter J. Gianakopoulos

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

All Works

7 of 7 papers shown
1.
Orlic-Milacic, M, Anna Mikhailov, Aaron Cheung, et al.. (2014). Over-Expression of Either MECP2_e1 or MECP2_e2 in Neuronally Differentiated Cells Results in Different Patterns of Gene Expression. PLoS ONE. 9(4). e91742–e91742. 16 indexed citations
2.
Gianakopoulos, Peter J., Yuzhi Zhang, Nela Pencea, et al.. (2011). Mutations in MECP2 exon 1 in classical rett patients disrupt MECP2_e1 transcription, but not transcription of MECP2_e2. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 159B(2). 210–216. 21 indexed citations
3.
Gianakopoulos, Peter J., Anastassia Voronova, Yi Cao, et al.. (2010). MyoD Directly Up-regulates Premyogenic Mesoderm Factors during Induction of Skeletal Myogenesis in Stem Cells. Journal of Biological Chemistry. 286(4). 2517–2525. 38 indexed citations
4.
Gianakopoulos, Peter J. & Ilona S. Skerjanc. (2009). Cross talk between hedgehog and bone morphogenetic proteins occurs during cardiomyogenesis in P19 cells. In Vitro Cellular & Developmental Biology - Animal. 45(9). 566–572. 9 indexed citations
5.
Vincent, John B., Abdul Noor, Christian Windpassinger, et al.. (2008). Characterization of a de novo translocation t(5;18)(q33.1;q12.1) in an autistic boy identifies a breakpoint close toSH3TC2,ADRB2, andHTR4on 5q, and within the desmocollin gene cluster on 18q. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 150B(6). 817–826. 11 indexed citations
6.
Gianakopoulos, Peter J. & Ilona S. Skerjanc. (2005). Hedgehog Signaling Induces Cardiomyogenesis in P19 Cells. Journal of Biological Chemistry. 280(22). 21022–21028. 55 indexed citations
7.
Petropoulos, Helen, Peter J. Gianakopoulos, Alan G. Ridgeway, & Ilona S. Skerjanc. (2004). Disruption of Meox or Gli Activity Ablates Skeletal Myogenesis in P19 Cells. Journal of Biological Chemistry. 279(23). 23874–23881. 35 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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