Georgios Giamas

6.6k citations
96 papers · 2.8k · h-index 29

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

    • Extracellular vesicles in disease 14
    • PI3K/AKT/mTOR signaling in cancer 10
    • RNA Research and Splicing 7
    • Protein Kinase Regulation and GTPase Signaling 5

Georgios Giamas

93 papers receiving 2.7k citations

Peers

Georgios Giamas
Comparison fields: 5 of 113
  • Cancer Research 784
  • Oncology 640
  • Molecular Biology 1.7k
  • Genetics 184
  • Immunology 237
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Citations per field
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Citations per year

Countries citing papers authored by Georgios Giamas

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Giamas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Georgios Giamas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Georgios Giamas Line = papers co-authored together Georgios Giamas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009281
2 2019160
3 2018147
4 2012113
5 2016111
6 2011106
7 2005103
8 201396
9 202091
10 200884
11 201978
12 201974
13 201770
14 201269
15 201067
16 202166
17 200761
18 200749
19 200741
20 201239

About Georgios Giamas

Georgios Giamas is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 96 papers that have together received 2.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (14 papers), MicroRNA in disease regulation (12 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Estrogen and related hormone effects (8 papers), RNA Research and Splicing (7 papers), Glioma Diagnosis and Treatment (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Cancer Research (784 citations), Oncology (640 citations), Molecular Biology (1.7k citations), Genetics (184 citations) and Immunology (237 citations). Georgios Giamas has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Justin Stebbing, Thomas R. Simon, Uwe Knippschild, Giles Critchley, Teresa Gagliano, R. Charles Coombes, Leandro Castellano, Jimmy Jacob, John J. Murphy and Aradhana Rani. Their work appears in journals such as Oncogene, Cancer Gene Therapy, Cancer Research, International Journal of Molecular Sciences and Journal of Clinical Oncology.

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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