E Patsouris

466 total citations
31 papers, 393 citations indexed

About

E Patsouris is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, E Patsouris has authored 31 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 10 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in E Patsouris's work include Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). E Patsouris is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). E Patsouris collaborates with scholars based in Greece, United States and Switzerland. E Patsouris's co-authors include Penelope Korkolopoulou, Christos Kittas, D. Stavrou, P. Mehraein, Georgia Levidou, Gerassimos A. Pangalis, Christina Piperi, E. Keiditsch, P. Athanassiadou and Angelica A. Saetta and has published in prestigious journals such as British Journal of Cancer, Human Pathology and Histopathology.

In The Last Decade

E Patsouris

30 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Patsouris Greece 13 166 156 89 76 64 31 393
Laura López-Vicente Spain 4 265 1.6× 166 1.1× 88 1.0× 54 0.7× 69 1.1× 4 480
Hiroyuki Maeta Japan 11 191 1.2× 146 0.9× 96 1.1× 31 0.4× 56 0.9× 24 419
Sebastian Uhrig Germany 7 162 1.0× 115 0.7× 101 1.1× 63 0.8× 70 1.1× 17 360
DC Betticher United Kingdom 6 300 1.8× 289 1.9× 94 1.1× 90 1.2× 47 0.7× 13 508
Jacqueline M. Liu Taiwan 9 321 1.9× 158 1.0× 92 1.0× 99 1.3× 97 1.5× 12 534
Justine N. McCutcheon United States 11 204 1.2× 304 1.9× 99 1.1× 70 0.9× 45 0.7× 16 680
R. Donnellan South Africa 7 302 1.8× 308 2.0× 106 1.2× 59 0.8× 61 1.0× 12 576
Alex Rufle Switzerland 9 96 0.6× 196 1.3× 60 0.7× 140 1.8× 38 0.6× 11 355
H-Y Huang Taiwan 8 225 1.4× 104 0.7× 77 0.9× 58 0.8× 51 0.8× 9 390
Masayuki Ohno Japan 11 264 1.6× 256 1.6× 74 0.8× 49 0.6× 51 0.8× 18 508

Countries citing papers authored by E Patsouris

Since Specialization
Citations

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

Fields of papers citing papers by E Patsouris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Patsouris

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

All Works

20 of 20 papers shown
1.
Giaginis, Constantinos, Ioanna Giannopoulou, Gerasimos Tsourouflis, et al.. (2017). High Farnesoid X Receptor (FXR) expression is a strong and independent prognosticator in invasive breast carcinoma. Neoplasma. 64(4). 633–639. 28 indexed citations
2.
3.
Xepapadakis, Grigorios, et al.. (2014). Prognostic value of EZH2, paxillin expression and DNA ploidy of breast adenocarcinoma: correlation to pathologic predictors.. PubMed. 18(4). 879–85. 6 indexed citations
4.
Tsoucalas, Gregory, Marianna Karamanou, Maria Piagkou, et al.. (2013). Joseph Gensoul's operation for sarcoma of the maxillary antrum, one century before Moore.. PubMed. 17(4). 801–3. 1 indexed citations
5.
Korkolopoulou, Penelope, Georgia Levidou, Elias A. El-Habr, et al.. (2013). Sox11 expression in astrocytic gliomas: correlation with nestin/c-Met/IDH1-R132H expression phenotypes, p-Stat-3 and survival. British Journal of Cancer. 108(10). 2142–2152. 20 indexed citations
6.
Korkolopoulou, Penelope, Georgia Levidou, Elias A. El-Habr, et al.. (2012). Expression of Interleukin-8 Receptor CXCR2 and Suppressor of Cytokine Signaling-3 in Astrocytic Tumors. Molecular Medicine. 18(3). 379–388. 12 indexed citations
7.
Patsouris, E, Emmanuel Lagoudianakis, Athanasios Pappas, et al.. (2011). The value of TOP2A, EZH2 and paxillin expression as markers of aggressive breast cancer: relationship with other prognostic factors.. PubMed. 32(2). 156–9. 14 indexed citations
8.
Kavantzas, N, et al.. (2011). Expression of ki‐67 as proliferation biomarker in imprint smears of endometrial carcinoma. Diagnostic Cytopathology. 41(3). 212–217. 20 indexed citations
9.
10.
Politi, Ekaterini, et al.. (2010). Prognostic impact of HER2/neu protein in urothelial bladder cancer. Survival analysis of 80 cases and an overview of almost 20 years' research.. PubMed. 14(3). 457–62. 26 indexed citations
11.
Patsouris, E, et al.. (2010). 194 DNA ploidy in relationship with EZH2 expression as markers of breast carcinomas. European Journal of Cancer Supplements. 8(3). 114–114. 1 indexed citations
12.
Tsiambas, Evangelos, Andreas Karameris, Stavros Gourgiotis, et al.. (2007). Simultaneous deregulation of p16 and cyclin D1 genes in pancreatic ductal adenocarcinoma: a combined immunohistochemistry and image analysis study based on tissue microarrays.. PubMed. 12(2). 261–7. 6 indexed citations
13.
Gakiopoulou, Hariklia, Penelope Korkolopoulou, Georgia Levidou, et al.. (2007). Minichromosome maintenance proteins 2 and 5 in non-benign epithelial ovarian tumours: relationship with cell cycle regulators and prognostic implications. British Journal of Cancer. 97(8). 1124–1134. 55 indexed citations
14.
Saetta, Angelica A., et al.. (2005). Microsatellite instability in sporadic and inherited colon adenocarcinomas from Greek patients: correlation with several clinicopathological characteristics.. PubMed. 68(3). 294–301. 1 indexed citations
15.
Korkolis, Dimitrios, Dimitris Fouskakis, George J. Koullias, et al.. (2004). Tumor histology and stage but not p53, Her2-neu or cathepsin-D expression are independent prognostic factors in breast cancer patients.. PubMed. 24(3b). 2061–8. 25 indexed citations
16.
Korkolopoulou, Penelope, Maria K. Angelopoulou, Fotios Mitropoulos, et al.. (2001). Evaluation of DNA topoisomerase IIα expression provides independent prognostic information in non‐Hodgkin's lymphomas. Histopathology. 38(1). 45–53. 13 indexed citations
17.
Korkolopoulou, Penelope, Maria K. Angelopoulou, Flora N. Kontopidou, et al.. (2001). Retinoblastoma Gene Product and P21 (WAF1, CIP1) Protein Expression in Non Hodgkin's Lymphomas: A Multivariate Survival Analysis. Leukemia & lymphoma. 40(5-6). 647–658. 10 indexed citations
18.
Korkolopoulou, Penelope, Maria K. Angelopoulou, Flora N. Kontopidou, et al.. (1998). Prognostic relevance of apoptotic cell death in non‐Hodgkin's lymphomas: a multivariate survival analysis including Ki67 and p53 oncoprotein expression. Histopathology. 33(3). 240–247. 20 indexed citations
19.
Korkolopoulou, P., et al.. (1994). B-cell Lymphoma of Large Multilobated Type: An Immunohistochemical Study of 8 Cases and Review of the Literature. Leukemia & lymphoma. 13(1-2). 151–159. 5 indexed citations
20.
Patsouris, E, et al.. (1988). Relationship between Ki-67 positive cells, growth rate and histological type of human intracranial tumors.. PubMed. 8(4). 537–44. 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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