Maya Kagan

52 papers and 396 indexed citations i.

About

Maya Kagan is a scholar working on Clinical Psychology, Public Administration and General Health Professions. According to data from OpenAlex, Maya Kagan has authored 52 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Clinical Psychology, 21 papers in Public Administration and 20 papers in General Health Professions. Recurrent topics in Maya Kagan’s work include Social Work Education and Practice (21 papers), Health, psychology, and well-being (7 papers) and Homelessness and Social Issues (6 papers). Maya Kagan is often cited by papers focused on Social Work Education and Practice (21 papers), Health, psychology, and well-being (7 papers) and Homelessness and Social Issues (6 papers). Maya Kagan collaborates with scholars based in Israel. Maya Kagan's co-authors include Sabina Lissitsa, Michal Mahat‐Shamir, Osnat Lavenda, Lee Greenblatt‐Kimron, Menachem Ben‐Ezra and Uzi Ben‐Shalom and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and International Journal of Environmental Research and Public Health.

In The Last Decade

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

Fields of papers citing papers by Maya Kagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Kagan

Since Specialization
Citations

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