Olga Papadodima

799 total citations
26 papers, 309 citations indexed

About

Olga Papadodima is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Olga Papadodima has authored 26 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Olga Papadodima's work include Bioinformatics and Genomic Networks (3 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Olga Papadodima is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Olga Papadodima collaborates with scholars based in Greece, Sweden and Germany. Olga Papadodima's co-authors include Aristotelis Chatziioannou, Fragiskos N. Kolisis, Eleftherios Pilalis, Rebecca Matsas, Heleni Loutrari, Georgios Pampalakis, Georgia Sotiropoulou, Charis Roussos, Ioannis Valavanis and Panagiotis Moulos and has published in prestigious journals such as Bioinformatics, PLoS ONE and FEBS Letters.

In The Last Decade

Olga Papadodima

24 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olga Papadodima Greece 10 187 68 57 43 38 26 309
Claire McWhirter United Kingdom 5 394 2.1× 79 1.2× 44 0.8× 45 1.0× 46 1.2× 8 478
Lorenzo Colarossi Italy 13 211 1.1× 124 1.8× 103 1.8× 44 1.0× 50 1.3× 30 443
Nicole Willemsen‐Seegers Netherlands 11 229 1.2× 99 1.5× 46 0.8× 49 1.1× 42 1.1× 18 371
Kimberly E. Fultz United States 8 239 1.3× 84 1.2× 56 1.0× 34 0.8× 43 1.1× 15 368
Kelie Reece United States 9 201 1.1× 83 1.2× 99 1.7× 61 1.4× 24 0.6× 12 349
C-T Yeh Taiwan 7 277 1.5× 75 1.1× 68 1.2× 32 0.7× 29 0.8× 7 389
Jan Roger Olsen Norway 7 192 1.0× 96 1.4× 74 1.3× 55 1.3× 16 0.4× 9 293
Tianfang Ma China 12 199 1.1× 52 0.8× 104 1.8× 86 2.0× 18 0.5× 24 357
Van T. Hoang United States 12 244 1.3× 114 1.7× 106 1.9× 37 0.9× 27 0.7× 25 362

Countries citing papers authored by Olga Papadodima

Since Specialization
Citations

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

Fields of papers citing papers by Olga Papadodima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Papadodima

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Papadodima. A scholar is included among the top collaborators of Olga Papadodima 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 Olga Papadodima. Olga Papadodima 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.
Voutetakis, Konstantinos, Vivian Kosmidou, Kymberleigh A. Pagel, et al.. (2025). Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer. Molecular Oncology. 19(6). 1751–1774. 1 indexed citations
2.
Jiang, Shanshan, et al.. (2025). Pre-Meta: Priors-augmented Retrieval for LLM-based Metadata Generation. Bioinformatics. 41(10).
3.
Chatziioannou, Aristotelis, et al.. (2023). ERβ1 Sensitizes and ERβ2 Desensitizes ERα-Positive Breast Cancer Cells to the Inhibitory Effects of Tamoxifen, Fulvestrant and Their Combination with All-Trans Retinoic Acid. International Journal of Molecular Sciences. 24(4). 3747–3747. 4 indexed citations
4.
Maglogiannis, Ilias, et al.. (2021). An Integrated Platform for Skin Cancer Heterogenous and Multilayered Data Management. Journal of Medical Systems. 45(1). 10–10.
5.
Kosmidou, Vivian, Eftichia Kritsi, Maria I. Zervou, et al.. (2020). BRAF paradox breakers PLX8394, PLX7904 are more effective against BRAFV600Ε CRC cells compared with the BRAF inhibitor PLX4720 and shown by detailed pathway analysis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1867(4). 166061–166061. 23 indexed citations
6.
Pilalis, Eleftherios, Olga Papadodima, Dirk Koczan, et al.. (2019). Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape. Computational and Structural Biotechnology Journal. 17. 177–185. 51 indexed citations
7.
Papadodima, Olga, et al.. (2019). Contralateral axillary metastasis: is surgical treatment the best option?. 1 indexed citations
8.
Maglogiannis, Ilias, et al.. (2018). Dissecting the Mutational Landscape of Cutaneous Melanoma: An Omic Analysis Based on Patients from Greece. Cancers. 10(4). 96–96. 9 indexed citations
10.
Papadodima, Olga, et al.. (2016). Gene Expression Analysis of Fibroblasts from Patients with Bipolar Disorder. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1(1). 2 indexed citations
12.
Pilalis, Eleftherios, Nikos G. Gavalas, Kimon Tzannis, et al.. (2016). The Development of an Angiogenic Protein “Signature” in Ovarian Cancer Ascites as a Tool for Biologic and Prognostic Profiling. PLoS ONE. 11(6). e0156403–e0156403. 21 indexed citations
13.
Michailidou, Maria, Olga Papadodima, Ioannis K. Kostakis, et al.. (2016). Novel pyrazolopyridine derivatives as potential angiogenesis inhibitors: Synthesis, biological evaluation and transcriptome-based mechanistic analysis. European Journal of Medicinal Chemistry. 121. 143–157. 27 indexed citations
14.
Maglogiannis, Ilias, et al.. (2015). Redesigning EHRs and Clinical Decision Support Systems for the Precision Medicine Era. 1–8. 1 indexed citations
15.
Papadodima, Olga, et al.. (2013). A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta‐Analysis. The Scientific World JOURNAL. 2013(1). 685917–685917. 18 indexed citations
16.
Sifakis, Emmanouil G., Ioannis Valavanis, Olga Papadodima, & Aristotelis Chatziioannou. (2013). Identifying gender independent biomarkers responsible for human muscle aging using microarray data. 19. 1–5. 6 indexed citations
17.
Papadodima, Olga, Allan Sirsjö, Fragiskos N. Kolisis, & Aristotelis Chatziioannou. (2012). Application of an Integrative Computational Framework in Trancriptomic Data of Atherosclerotic Mice Suggests Numerous Molecular Players. PubMed. 2012. 1–9. 4 indexed citations
18.
Moulos, Panagiotis, Olga Papadodima, Aristotelis Chatziioannou, et al.. (2009). A transcriptomic computational analysis of mastic oil-treated Lewis lung carcinomas reveals molecular mechanisms targeting tumor cell growth and survival. BMC Medical Genomics. 2(1). 68–68. 27 indexed citations
19.
Politis, Panagiotis, et al.. (2008). BM88/Cend1 is involved in histone deacetylase inhibition‐mediated growth arrest and differentiation of neuroblastoma cells. FEBS Letters. 582(5). 741–748. 20 indexed citations
20.
Papadodima, Olga, et al.. (2005). Characterization of the BM88 promoter and identification of an 88 bp fragment sufficient to drive neurone‐specific expression. Journal of Neurochemistry. 95(1). 146–159. 18 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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