Maya Dadiani

20 papers and 362 indexed citations i.

About

Maya Dadiani is a scholar working on Cancer Research, Oncology and Genetics. According to data from OpenAlex, Maya Dadiani has authored 20 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Oncology and 7 papers in Genetics. Recurrent topics in Maya Dadiani’s work include Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (4 papers) and Breast Cancer Treatment Studies (3 papers). Maya Dadiani is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (4 papers) and Breast Cancer Treatment Studies (3 papers). Maya Dadiani collaborates with scholars based in Israel, The Netherlands and Italy. Maya Dadiani's co-authors include Hadassa Degani, Raanan Margalit, Ady Yosepovich, Dalia Seger, Bella Kaufman, Iris Barshack, Vyacheslav Kalchenko, Einav Nili Gal‐Yam, Nora Balint‐Lahat and Noa Sela and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Maya Dadiani i

Fields of papers citing papers by Maya Dadiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Dadiani

Since Specialization
Citations

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

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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