Alexandra Danyi

410 total citations
3 papers, 133 citations indexed

About

Alexandra Danyi is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alexandra Danyi has authored 3 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Alexandra Danyi's work include Cancer, Lipids, and Metabolism (1 paper), Virus-based gene therapy research (1 paper) and Radiopharmaceutical Chemistry and Applications (1 paper). Alexandra Danyi is often cited by papers focused on Cancer, Lipids, and Metabolism (1 paper), Virus-based gene therapy research (1 paper) and Radiopharmaceutical Chemistry and Applications (1 paper). Alexandra Danyi collaborates with scholars based in Netherlands, South Korea and United Kingdom. Alexandra Danyi's co-authors include Daesik Kim, Annie Etuk, Roland Preece, Waseem Qasim, Neil Humphryes-Kirilov, Christos Georgiadis, Anastasia Petrova, Lauren Nickolay, Dariusz Ładoń and Jin‐Soo Kim and has published in prestigious journals such as Nature Communications, Molecular Therapy and Life.

In The Last Decade

Alexandra Danyi

3 papers receiving 130 citations

Peers

Alexandra Danyi
Olivia Sirpilla United States
Nikolaos Gkitsas United States
Xinyi Teng China
Alexis Cuffel France
Anna M. Sureda Spain
Martina Sersch China
Isabel Leung United States
Megan M. Dacek United States
Leticia Bosshard‐Carter United Kingdom
Jonathan Boiarsky United States
Olivia Sirpilla United States
Alexandra Danyi
Citations per year, relative to Alexandra Danyi Alexandra Danyi (= 1×) peers Olivia Sirpilla

Countries citing papers authored by Alexandra Danyi

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Danyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Danyi

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

All Works

3 of 3 papers shown
1.
Danyi, Alexandra, Job van Riet, Ronald de Wit, et al.. (2023). Predicting response to enzalutamide and abiraterone in metastatic prostate cancer using whole-omics machine learning. Nature Communications. 14(1). 1968–1968. 10 indexed citations
2.
Danyi, Alexandra, Myrthe Jager, & Jeroen de Ridder. (2021). Cancer Type Classification in Liquid Biopsies Based on Sparse Mutational Profiles Enabled through Data Augmentation and Integration. Life. 12(1). 1–1. 4 indexed citations
3.
Georgiadis, Christos, Roland Preece, Lauren Nickolay, et al.. (2018). Long Terminal Repeat CRISPR-CAR-Coupled “Universal” T Cells Mediate Potent Anti-leukemic Effects. Molecular Therapy. 26(5). 1215–1227. 119 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