Maya Devi Paidi

8 papers and 246 indexed citations i.

About

Maya Devi Paidi is a scholar working on Nutrition and Dietetics, Pathology and Forensic Medicine and Plant Science. According to data from OpenAlex, Maya Devi Paidi has authored 8 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nutrition and Dietetics, 4 papers in Pathology and Forensic Medicine and 2 papers in Plant Science. Recurrent topics in Maya Devi Paidi’s work include Vitamin C and Antioxidants Research (6 papers), Vitamin D Research Studies (4 papers) and Vitamin K Research Studies (4 papers). Maya Devi Paidi is often cited by papers focused on Vitamin C and Antioxidants Research (6 papers), Vitamin D Research Studies (4 papers) and Vitamin K Research Studies (4 papers). Maya Devi Paidi collaborates with scholars based in Denmark, United States and China. Maya Devi Paidi's co-authors include Pernille Tveden‐Nyborg, M. Shahid Alam, Ray Ming, Wayne T. Nishijima, Yun Zhu, Jens Lykkesfeldt, Brad W. Porter, Stephan Christen, Ditte Søgaard and Vibeke Dantzer and has published in prestigious journals such as PLoS ONE, Nutrients and Redox Biology.

In The Last Decade

Co-authorship network of co-authors of Maya Devi Paidi i

Fields of papers citing papers by Maya Devi Paidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Devi Paidi

Since Specialization
Citations

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