Maya Ram

59 papers and 1.9k indexed citations i.

About

Maya Ram is a scholar working on Epidemiology, Rheumatology and Obstetrics and Gynecology. According to data from OpenAlex, Maya Ram has authored 59 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 14 papers in Rheumatology and 14 papers in Obstetrics and Gynecology. Recurrent topics in Maya Ram’s work include Systemic Lupus Erythematosus Research (11 papers), Pregnancy and preeclampsia studies (10 papers) and Cytomegalovirus and herpesvirus research (7 papers). Maya Ram is often cited by papers focused on Systemic Lupus Erythematosus Research (11 papers), Pregnancy and preeclampsia studies (10 papers) and Cytomegalovirus and herpesvirus research (7 papers). Maya Ram collaborates with scholars based in Israel, United States and Italy. Maya Ram's co-authors include Yehuda Shoenfeld, Ori Barzilai, Yaniv Sherer, Juan‐Manuel Anaya, Nicola Bizzaro, David Izhaky, Miri Blank, M. Eric Gershwin, Nancy Agmon‐Levin and Howard Amital and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Annals of the New York Academy of Sciences and American Journal of Obstetrics and Gynecology.

In The Last Decade

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

Fields of papers citing papers by Maya Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Ram

Since Specialization
Citations

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