Georgios Skliris

1.1k total citations · 1 hit paper
8 papers, 835 citations indexed

About

Georgios Skliris is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Georgios Skliris has authored 8 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Georgios Skliris's work include Estrogen and related hormone effects (3 papers), HER2/EGFR in Cancer Research (3 papers) and Breast Cancer Treatment Studies (2 papers). Georgios Skliris is often cited by papers focused on Estrogen and related hormone effects (3 papers), HER2/EGFR in Cancer Research (3 papers) and Breast Cancer Treatment Studies (2 papers). Georgios Skliris collaborates with scholars based in Canada, United States and Poland. Georgios Skliris's co-authors include Leigh C. Murphy, Nicolas Saint-Aubert, Franck Pagès, Diane Damotte, Ivo Natario, Marie‐Caroline Dieu‐Nosjean, Étienne Becht, Gordon J. Freeman, Laetitia Lacroix and Audrey Lupo and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Current Medicinal Chemistry.

In The Last Decade

Georgios Skliris

8 papers receiving 821 citations

Hit Papers

Orchestration and Prognostic Significance of Immune Check... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgios Skliris Canada 8 475 419 257 147 102 8 835
François Ringeisen France 14 373 0.8× 517 1.2× 305 1.2× 72 0.5× 112 1.1× 33 899
Clémentine Le Magnen Switzerland 15 351 0.7× 455 1.1× 438 1.7× 120 0.8× 72 0.7× 22 939
Takuji Mori Japan 16 515 1.1× 513 1.2× 181 0.7× 245 1.7× 64 0.6× 31 1.0k
Mónica Musteanu Spain 14 552 1.2× 415 1.0× 149 0.6× 121 0.8× 80 0.8× 32 972
W. H. Miller United States 9 486 1.0× 283 0.7× 166 0.6× 100 0.7× 66 0.6× 17 723
Vincenza Carafa Switzerland 12 379 0.8× 397 0.9× 108 0.4× 147 1.0× 55 0.5× 15 801
Nadia Barraco Italy 19 495 1.0× 402 1.0× 337 1.3× 130 0.9× 116 1.1× 45 1.0k
Stéphanie Lheureux Canada 15 735 1.5× 331 0.8× 116 0.5× 161 1.1× 112 1.1× 46 991
M Loda United States 5 238 0.5× 311 0.7× 223 0.9× 146 1.0× 38 0.4× 5 618
Annie Jean United States 9 329 0.7× 345 0.8× 174 0.7× 127 0.9× 186 1.8× 10 758

Countries citing papers authored by Georgios Skliris

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Skliris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Skliris

This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Skliris. A scholar is included among the top collaborators of Georgios Skliris 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 Georgios Skliris. Georgios Skliris 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.
Giraldo, Nicolás A., Étienne Becht, Franck Pagès, et al.. (2015). Orchestration and Prognostic Significance of Immune Checkpoints in the Microenvironment of Primary and Metastatic Renal Cell Cancer. Clinical Cancer Research. 21(13). 3031–3040. 356 indexed citations breakdown →
2.
Jimeno, Antonio, Glen J. Weiss, Wilson H. Miller, et al.. (2013). Phase I Study of the Hedgehog Pathway Inhibitor IPI-926 in Adult Patients with Solid Tumors. Clinical Cancer Research. 19(10). 2766–2774. 143 indexed citations
3.
Skliris, Georgios, Gefei Qing, Shantanu Banerji, et al.. (2012). Differential Role of Estrogen Receptor Beta in Early Versus Metastatic Non-small Cell Lung Cancer. Hormones and Cancer. 3(3). 93–100. 32 indexed citations
4.
Wu, Jiacai, Georgios Skliris, Jun Li, et al.. (2011). CARM1 Is an Important Determinant of ERα-Dependent Breast Cancer Cell Differentiation and Proliferation in Breast Cancer Cells. Cancer Research. 71(6). 2118–2128. 77 indexed citations
5.
Skliris, Georgios, Zoann Nugent, Brian G. Rowan, et al.. (2010). A phosphorylation code for oestrogen receptor-α predicts clinical outcome to endocrine therapy in breast cancer. Endocrine Related Cancer. 17(3). 589–597. 39 indexed citations
6.
Skliris, Georgios, Zoann Nugent, Peter H. Watson, & Leigh C. Murphy. (2010). Estrogen Receptor Alpha Phosphorylated at Tyrosine 537 is Associated with Poor Clinical Outcome in Breast Cancer Patients Treated with Tamoxifen. Hormones and Cancer. 1(4). 215–221. 13 indexed citations
7.
Murphy, Leigh C., Georgios Skliris, Brian G. Rowan, et al.. (2009). The relevance of phosphorylated forms of estrogen receptor in human breast cancer in vivo. The Journal of Steroid Biochemistry and Molecular Biology. 114(1-2). 90–95. 28 indexed citations
8.
Johnston, James C., Marshall Pitz, Emilia Wiecheć, et al.. (2006). Targeting the EGFR Pathway for Cancer Therapy. Current Medicinal Chemistry. 13(29). 3483–3492. 147 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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