Maya Shemesh

10 papers and 462 indexed citations i.

About

Maya Shemesh is a scholar working on Immunology, Oncology and Infectious Diseases. According to data from OpenAlex, Maya Shemesh has authored 10 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Oncology and 3 papers in Infectious Diseases. Recurrent topics in Maya Shemesh’s work include Cytokine Signaling Pathways and Interactions (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and interferon and immune responses (3 papers). Maya Shemesh is often cited by papers focused on Cytokine Signaling Pathways and Interactions (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and interferon and immune responses (3 papers). Maya Shemesh collaborates with scholars based in Israel, United States and Australia. Maya Shemesh's co-authors include Gideon Schreiber, Daniel Harari, Chunlin Li, Yinon Rudich, Ira Marton, Nadav Elad, Matthew Gagné, Orly Dym, Mark G. Lewis and Robert A. Seder and has published in prestigious journals such as Journal of Molecular Biology, Neuropsychopharmacology and PLoS Pathogens.

In The Last Decade

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

Fields of papers citing papers by Maya Shemesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Shemesh

Since Specialization
Citations

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