Maya Ran

25 papers and 491 indexed citations i.

About

Maya Ran is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Maya Ran has authored 25 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Maya Ran’s work include Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (8 papers) and Immunotherapy and Immune Responses (8 papers). Maya Ran is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Glycosylation and Glycoproteins Research (8 papers) and Immunotherapy and Immune Responses (8 papers). Maya Ran collaborates with scholars based in Israel, France and United States. Maya Ran's co-authors include Isaac P. Witz, Alon Zaslaver, Adit Ben‐Baruch, Rotem Feniger-Barish, George J. Klein, Georg Klein, Shira Gal, Gary R. Braslawsky, Wolf H. Fridman and Falk Fish and has published in prestigious journals such as Blood, JNCI Journal of the National Cancer Institute and International Journal of Cancer.

In The Last Decade

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

Fields of papers citing papers by Maya Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Ran

Since Specialization
Citations

This map shows the geographic impact of Maya Ran'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 Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Ran 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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2025