Stavros Giannakopoulos

587 total citations
8 papers, 460 citations indexed

About

Stavros Giannakopoulos is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Stavros Giannakopoulos has authored 8 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Stavros Giannakopoulos's work include Muscle Physiology and Disorders (3 papers), Chromatin Remodeling and Cancer (3 papers) and interferon and immune responses (2 papers). Stavros Giannakopoulos is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Chromatin Remodeling and Cancer (3 papers) and interferon and immune responses (2 papers). Stavros Giannakopoulos collaborates with scholars based in United States and Netherlands. Stavros Giannakopoulos's co-authors include Marcin M. Gorski, Sima Kheradmand Kia, C. Peter Verrijzer, Naoko Tanese, Takako Furukawa, Hiroko Inoue, Sharleen Zhou, David S. King, Edith H. Wang and Robert J. Schneider and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Stavros Giannakopoulos

8 papers receiving 450 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stavros Giannakopoulos 382 123 71 61 54 8 460
Dahong Teng 357 0.9× 143 1.2× 34 0.5× 52 0.9× 19 0.4× 14 453
K. Tago 422 1.1× 38 0.3× 54 0.8× 58 1.0× 63 1.2× 16 559
Anna Laura Putignano 130 0.3× 54 0.4× 46 0.6× 96 1.6× 127 2.4× 17 316
Stephen Flowers 375 1.0× 108 0.9× 23 0.3× 80 1.3× 44 0.8× 14 423
Manuela Lanzafame 342 0.9× 36 0.3× 47 0.7× 67 1.1× 81 1.5× 21 496
Kun Cai 274 0.7× 58 0.5× 27 0.4× 100 1.6× 26 0.5× 9 397
A. Schjolberg 129 0.3× 139 1.1× 30 0.4× 148 2.4× 47 0.9× 10 375
Adebowale O. Bamidele 143 0.4× 23 0.2× 79 1.1× 110 1.8× 50 0.9× 19 365
Siwen Dang 408 1.1× 35 0.3× 23 0.3× 70 1.1× 29 0.5× 8 524

Countries citing papers authored by Stavros Giannakopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Stavros Giannakopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stavros Giannakopoulos

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

All Works

8 of 8 papers shown
1.
Zhang, Zhengmao, Hanwen Bai, Jon D. Blumenfeld, et al.. (2021). Detection of PKD1 and PKD2 Somatic Variants in Autosomal Dominant Polycystic Kidney Cyst Epithelial Cells by Whole-Genome Sequencing. Journal of the American Society of Nephrology. 32(12). 3114–3129. 18 indexed citations
2.
Giannakopoulos, Stavros, et al.. (2015). Identification of Serum Biomarkers for Duchenne Muscular Dystrophy (P2.239). Neurology. 84(14_supplement). 1 indexed citations
3.
Beekman, Chantal, Jessica A. Sipkens, Stavros Giannakopoulos, et al.. (2014). A Sensitive, Reproducible and Objective Immunofluorescence Analysis Method of Dystrophin in Individual Fibers in Samples from Patients with Duchenne Muscular Dystrophy. PLoS ONE. 9(9). e107494–e107494. 33 indexed citations
4.
Beekman, Chantal, Stavros Giannakopoulos, Jessica A. Sipkens, et al.. (2013). P.13.12 An objective method for immunofluorescence analysis of dystrophin levels in muscle from DMD patients in clinical studies. Neuromuscular Disorders. 23(9-10). 812–812. 2 indexed citations
5.
Inoue, Hiroko, Stavros Giannakopoulos, Christopher N. Parkhurst, et al.. (2011). Target genes of the largest human SWI/SNF complex subunit control cell growth. Biochemical Journal. 434(1). 83–92. 22 indexed citations
6.
Kia, Sima Kheradmand, Marcin M. Gorski, Stavros Giannakopoulos, & C. Peter Verrijzer. (2008). SWI/SNF Mediates Polycomb Eviction and Epigenetic Reprogramming of the INK4b-ARF-INK4a Locus. Molecular and Cellular Biology. 28(10). 3457–3464. 211 indexed citations
7.
Inoue, Hiroko, Takako Furukawa, Stavros Giannakopoulos, et al.. (2002). Largest Subunits of the Human SWI/SNF Chromatin-remodeling Complex Promote Transcriptional Activation by Steroid Hormone Receptors. Journal of Biological Chemistry. 277(44). 41674–41685. 99 indexed citations
8.
Bouchard, Michael J., Stavros Giannakopoulos, Edith H. Wang, Naoko Tanese, & Robert J. Schneider. (2001). Hepatitis B Virus HBx Protein Activation of Cyclin A–Cyclin-Dependent Kinase 2 Complexes and G 1 Transit via a Src Kinase Pathway. Journal of Virology. 75(9). 4247–4257. 74 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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