Premila Paiva

24 papers and 1.3k indexed citations i.

About

Premila Paiva is a scholar working on Immunology, Reproductive Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Premila Paiva has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 14 papers in Reproductive Medicine and 13 papers in Obstetrics and Gynecology. Recurrent topics in Premila Paiva’s work include Endometriosis Research and Treatment (14 papers), Reproductive System and Pregnancy (12 papers) and Pregnancy and preeclampsia studies (7 papers). Premila Paiva is often cited by papers focused on Endometriosis Research and Treatment (14 papers), Reproductive System and Pregnancy (12 papers) and Pregnancy and preeclampsia studies (7 papers). Premila Paiva collaborates with scholars based in Australia, Malaysia and United Kingdom. Premila Paiva's co-authors include Lois A. Salamonsen, Evdokia Dimitriadis, Natalie J. Hannan, Katie Meehan, Ellen Menkhorst, Ursula Manuelpillai, Peter A. W. Rogers, Luk Rombauts, David K. Gardner and Martyn A Stafford‐Bell and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Premila Paiva i

Fields of papers citing papers by Premila Paiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Premila Paiva

Since Specialization
Citations

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