Γεώργιος Γεωργακίλας

7.0k total citations · 4 hit papers
32 papers, 5.2k citations indexed

About

Γεώργιος Γεωργακίλας is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Γεώργιος Γεωργακίλας has authored 32 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Γεώργιος Γεωργακίλας's work include RNA modifications and cancer (15 papers), MicroRNA in disease regulation (13 papers) and Cancer-related molecular mechanisms research (12 papers). Γεώργιος Γεωργακίλας is often cited by papers focused on RNA modifications and cancer (15 papers), MicroRNA in disease regulation (13 papers) and Cancer-related molecular mechanisms research (12 papers). Γεώργιος Γεωργακίλας collaborates with scholars based in Greece, United States and United Kingdom. Γεώργιος Γεωργακίλας's co-authors include Artemis G. Hatzigeorgiou, Theodore Dalamagas, Ioannis S. Vlachos, Maria D. Paraskevopoulou, Thanasis Vergoulis, Dimitra Karagkouni, Martin Reczko, Konstantinos Zagganas, Nikos Kostoulas and Manolis Maragkakis and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Nature Communications.

In The Last Decade

Γεώργιος Γεωργακίλας

32 papers receiving 5.2k citations

Hit Papers

DIANA-miRPath v3.0: decip... 2013 2026 2017 2021 2015 2013 2014 2015 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DIANA-miRPath v3.0: deciphering microRNA function with experimental support
    2015 1.4k citations Ioannis S. Vlachos, Konstantinos Zagganas et al. Nucleic Acids Research profile →
  2. DIANA-microT web server v5.0: service integration into miRNA functional analysis workflows
    2013 912 citations Maria D. Paraskevopoulou, Γεώργιος Γεωργακίλας et al. Nucleic Acids Research profile →
  3. DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions
    2014 619 citations Ioannis S. Vlachos, Maria D. Paraskevopoulou et al. Nucleic Acids Research profile →
  4. DIANA-LncBase v2: indexing microRNA targets on non-coding transcripts
    2015 536 citations Maria D. Paraskevopoulou, Ioannis S. Vlachos et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Γεώργιος Γεωργακίλας Greece 17 3.9k 3.6k 464 251 235 32 5.2k
Thanasis Vergoulis Greece 15 4.8k 1.2× 4.6k 1.3× 475 1.0× 226 0.9× 304 1.3× 29 6.3k
Vikram Agarwal United States 14 5.3k 1.3× 4.1k 1.1× 518 1.1× 392 1.6× 261 1.1× 21 6.6k
Maria D. Paraskevopoulou Greece 17 4.9k 1.3× 4.8k 1.3× 461 1.0× 218 0.9× 338 1.4× 27 6.3k
Jacob A. O’Brien Canada 12 2.8k 0.7× 2.6k 0.7× 457 1.0× 158 0.6× 173 0.7× 14 4.2k
Heyam Hayder Canada 9 2.8k 0.7× 2.6k 0.7× 497 1.1× 166 0.7× 165 0.7× 11 4.3k
Martin Reczko Greece 25 4.2k 1.1× 3.7k 1.0× 344 0.7× 206 0.8× 153 0.7× 57 5.2k
Minju Ha South Korea 13 6.4k 1.6× 4.7k 1.3× 475 1.0× 239 1.0× 133 0.6× 16 7.6k
Yara Zayed Canada 7 2.7k 0.7× 2.3k 0.6× 364 0.8× 161 0.6× 140 0.6× 7 3.9k
Daehyun Baek South Korea 20 4.7k 1.2× 4.0k 1.1× 589 1.3× 250 1.0× 104 0.4× 35 5.9k
Nicole Ludwig Germany 32 2.3k 0.6× 1.6k 0.5× 310 0.7× 209 0.8× 264 1.1× 100 3.5k

Countries citing papers authored by Γεώργιος Γεωργακίλας

Since Specialization
Citations

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

Fields of papers citing papers by Γεώργιος Γεωργακίλας

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Γεώργιος Γεωργακίλας

This figure shows the co-authorship network connecting the top 25 collaborators of Γεώργιος Γεωργακίλας. A scholar is included among the top collaborators of Γεώργιος Γεωργακίλας 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 Γεώργιος Γεωργακίλας. Γεώργιος Γεωργακίλας 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.
Vasilopoulos, Yiannis, et al.. (2024). aPEAch: Automated Pipeline for End-to-End Analysis of Epigenomic and Transcriptomic Data. Biology. 13(7). 492–492. 1 indexed citations
2.
Metcalfe, Brett, Γεώργιος Γεωργακίλας, Theodore Dalamagas, et al.. (2024). Towards a machine learning operations (MLOps) soft sensor for real-time predictions in industrial-scale fed-batch fermentation. Computers & Chemical Engineering. 194. 108991–108991. 5 indexed citations
3.
Γεωργακίλας, Γεώργιος, et al.. (2024). Transcriptomic meta-analysis characterizes molecular commonalities between psoriasis and obesity. Genes and Immunity. 25(3). 179–187. 2 indexed citations
4.
Vasilopoulos, Yiannis, et al.. (2023). Transcriptional repression of lncRNA and miRNA subsets mediated by LRF during erythropoiesis. Journal of Molecular Medicine. 101(9). 1097–1112. 3 indexed citations
5.
Kapsoritakis, Andreas, Konstantinos Κarmiris, Aikaterini Patsatsi, et al.. (2023). Pharmacogenetic Analysis of the MIR146A rs2910164 and MIR155 rs767649 Polymorphisms and Response to Anti-TNF Treatment in Patients with Crohn’s Disease and Psoriasis. Genes. 14(2). 445–445. 3 indexed citations
6.
Γεωργακίλας, Γεώργιος, et al.. (2022). Gene Expression Meta-Analysis of Potential Shared and Unique Pathways between Autoimmune Diseases under Anti-TNFα Therapy. Genes. 13(5). 776–776. 4 indexed citations
7.
Λιάκος, Κωνσταντίνος, Γεώργιος Γεωργακίλας, Fotis Plessas, & Paris Kitsos. (2022). GAINESIS: Generative Artificial Intelligence NEtlists SynthesIS. Electronics. 11(2). 245–245. 8 indexed citations
8.
Grigoriadis, Dimitris, et al.. (2022). DeepTSS: multi-branch convolutional neural network for transcription start site identification from CAGE data. BMC Bioinformatics. 23(S2). 395–395. 4 indexed citations
9.
Γεωργακίλας, Γεώργιος, et al.. (2020). Solving the transcription start site identification problem with ADAPT-CAGE: a Machine Learning algorithm for the analysis of CAGE data. Scientific Reports. 10(1). 877–877. 17 indexed citations
10.
Γεωργακίλας, Γεώργιος, et al.. (2020). Multi-branch Convolutional Neural Network for Identification of Small Non-coding RNA genomic loci. Scientific Reports. 10(1). 9486–9486. 15 indexed citations
11.
Johnson, John L., Γεώργιος Γεωργακίλας, Jelena Petrovic, et al.. (2018). Lineage-Determining Transcription Factor TCF-1 Initiates the Epigenetic Identity of T Cells. Immunity. 48(2). 243–257.e10. 141 indexed citations
12.
Vlachos, Ioannis S., Thanasis Vergoulis, Maria D. Paraskevopoulou, et al.. (2016). DIANA-mirExTra v2.0: Uncovering microRNAs and transcription factors with crucial roles in NGS expression data. Nucleic Acids Research. 44(W1). W128–W134. 40 indexed citations
13.
Paraskevopoulou, Maria D., Ioannis S. Vlachos, Dimitra Karagkouni, et al.. (2015). DIANA-LncBase v2: indexing microRNA targets on non-coding transcripts. Nucleic Acids Research. 44(D1). D231–D238. 536 indexed citations breakdown →
14.
Γεωργακίλας, Γεώργιος, Ioannis S. Vlachos, Konstantinos Zagganas, et al.. (2015). DIANA-miRGen v3.0: accurate characterization of microRNA promoters and their regulators. Nucleic Acids Research. 44(D1). D190–D195. 49 indexed citations
15.
Vlachos, Ioannis S., Maria D. Paraskevopoulou, Dimitra Karagkouni, et al.. (2014). DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions. Nucleic Acids Research. 43(D1). D153–D159. 619 indexed citations breakdown →
16.
Γεωργακίλας, Γεώργιος, Ioannis S. Vlachos, Maria D. Paraskevopoulou, et al.. (2014). microTSS: accurate microRNA transcription start site identification reveals a significant number of divergent pri-miRNAs. Nature Communications. 5(1). 5700–5700. 58 indexed citations
17.
Vergoulis, Thanasis, Ilias Kanellos, Nikos Kostoulas, et al.. (2014). mirPub: a database for searching microRNA publications. Bioinformatics. 31(9). 1502–1504. 23 indexed citations
18.
Paraskevopoulou, Maria D., Γεώργιος Γεωργακίλας, Nikos Kostoulas, et al.. (2013). DIANA-microT web server v5.0: service integration into miRNA functional analysis workflows. Nucleic Acids Research. 41(W1). W169–W173. 912 indexed citations breakdown →
19.
Vlachos, Ioannis S., Nikos Kostoulas, Thanasis Vergoulis, et al.. (2012). DIANA miRPath v.2.0: investigating the combinatorial effect of microRNAs in pathways. Nucleic Acids Research. 40(W1). W498–W504. 456 indexed citations
20.
Paraskevopoulou, Maria D., Γεώργιος Γεωργακίλας, Nikos Kostoulas, et al.. (2012). DIANA-LncBase: experimentally verified and computationally predicted microRNA targets on long non-coding RNAs. Nucleic Acids Research. 41(D1). D239–D245. 291 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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