Sofia Nomikou

638 total citations
9 papers, 212 citations indexed

About

Sofia Nomikou is a scholar working on Oncology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Sofia Nomikou has authored 9 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Sofia Nomikou's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and RNA modifications and cancer (2 papers). Sofia Nomikou is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and RNA modifications and cancer (2 papers). Sofia Nomikou collaborates with scholars based in United States. Sofia Nomikou's co-authors include Aristotelis Tsirigos, George Jour, Jeffrey S. Weber, Douglas M. Donnelly, Nicolas Coudray, Iman Osman, Anna C. Pavlick, Judy Zhong, Irineu Illa-Bochaca and Lee Wheless and has published in prestigious journals such as Journal of Clinical Oncology, Nature Immunology and Cancer Research.

In The Last Decade

Sofia Nomikou

7 papers receiving 211 citations

Peers

Sofia Nomikou
Taylor E. Arnoff United States
Anne-Laure Vallier United Kingdom
Laura M Drogowski United States
Iris Nederlof Netherlands
Liren Jiang China
Eva Bozsaky Austria
Masoud Mireskandari Germany
Jiamei Chen China
Venkata N. P. Vemuri United States
Ashley Kiemen United States
Taylor E. Arnoff United States
Sofia Nomikou
Citations per year, relative to Sofia Nomikou Sofia Nomikou (= 1×) peers Taylor E. Arnoff

Countries citing papers authored by Sofia Nomikou

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Nomikou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofia Nomikou

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

All Works

9 of 9 papers shown
1.
Galbraith, Kristyn, Kristin Sikkink, Derek A. Reid, et al.. (2025). Detection of Gene Fusions and Rearrangements in Formalin-Fixed, Paraffin-Embedded Solid Tumor Specimens Using High-Throughput Chromosome Conformation Capture. Journal of Molecular Diagnostics. 27(5). 346–359.
2.
Nomikou, Sofia, Katelyn Powell, Anthony D. Schmitt, et al.. (2024). Abstract 325: Validation of Aventa FusionPlus: An LDT NGS assay for comprehensive cancer genomic profiling. Cancer Research. 84(6_Supplement). 325–325.
3.
Witkowski, Matthew T., Soobeom Lee, Eric Wang, et al.. (2022). NUDT21 limits CD19 levels through alternative mRNA polyadenylation in B cell acute lymphoblastic leukemia. Nature Immunology. 23(10). 1424–1432. 26 indexed citations
4.
Kim, Randie H., Sofia Nomikou, Nicolas Coudray, et al.. (2021). Deep Learning and Pathomics Analyses Reveal Cell Nuclei as Important Features for Mutation Prediction of BRAF-Mutated Melanomas. Journal of Investigative Dermatology. 142(6). 1650–1658.e6. 27 indexed citations
5.
Wang, Eric, Hua Zhou, Bettina Nadorp, et al.. (2021). Surface antigen-guided CRISPR screens identify regulators of myeloid leukemia differentiation. Cell stem cell. 28(4). 718–731.e6. 35 indexed citations
6.
Johannet, Paul, Nicolas Coudray, Douglas M. Donnelly, et al.. (2020). Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma. Clinical Cancer Research. 27(1). 131–140. 114 indexed citations
7.
Johannet, Paul, Nicolas Coudray, George Jour, et al.. (2019). Using machine learning algorithms to predict response and toxicity to immune checkpoint inhibitors (ICIs) in melanoma patients.. Journal of Clinical Oncology. 37(15_suppl). 2581–2581. 4 indexed citations
8.
Coudray, Nicolas, Randie H. Kim, Sofia Nomikou, et al.. (2018). Prediction of response and toxicity to immune checkpoint inhibitor therapies (ICI) in melanoma using deep neural networks machine learning.. Journal of Clinical Oncology. 36(15_suppl). 9529–9529. 5 indexed citations
9.
Kim, Randie H., Sofia Nomikou, Nicolas Coudray, et al.. (2018). Using deep learning algorithms on histopathology images for the prediction of BRAF and NRAS mutations in invasive melanoma.. Journal of Clinical Oncology. 36(15_suppl). e21561–e21561. 1 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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2026