Maya Gershkovitz

7 papers and 344 indexed citations i.

About

Maya Gershkovitz is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Maya Gershkovitz has authored 7 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Maya Gershkovitz’s work include Ion Channels and Receptors (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and S100 Proteins and Annexins (2 papers). Maya Gershkovitz is often cited by papers focused on Ion Channels and Receptors (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and S100 Proteins and Annexins (2 papers). Maya Gershkovitz collaborates with scholars based in Israel, United States and Japan. Maya Gershkovitz's co-authors include Ronit Vogt Sionov, Zvi Granot, Tanya Fainsod-Levi, Zvi G. Fridlender, Saleh Khawaled, Lola Polyansky, Rami I. Aqeilan, Merav E. Shaul, Leonor Cohen‐Daniel and Yoav D. Shaul and has published in prestigious journals such as Cancer Research, Cell Reports and Cancer Immunology Immunotherapy.

In The Last Decade

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

Fields of papers citing papers by Maya Gershkovitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Gershkovitz

Since Specialization
Citations

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