Maja M. Seidl

7 papers and 651 indexed citations i.

About

Maja M. Seidl is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Maja M. Seidl has authored 7 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Molecular Biology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Maja M. Seidl’s work include Phytoestrogen effects and research (5 papers), Paraoxonase enzyme and polymorphisms (2 papers) and Menopause: Health Impacts and Treatments (2 papers). Maja M. Seidl is often cited by papers focused on Phytoestrogen effects and research (5 papers), Paraoxonase enzyme and polymorphisms (2 papers) and Menopause: Health Impacts and Treatments (2 papers). Maja M. Seidl collaborates with scholars based in Canada and United States. Maja M. Seidl's co-authors include Lilian U. Thompson, Sharon E. Rickard, Donna E. Stewart, Harry H. S. Fong, Lumonadio Luyengi, Angela Orsino, Jill I. Cameron and David C. Mendelssohn and has published in prestigious journals such as Journal of Nutrition, Carcinogenesis and Cancer Letters.

In The Last Decade

Co-authorship network of co-authors of Maja M. Seidl i

Fields of papers citing papers by Maja M. Seidl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja M. Seidl. 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 Maja M. Seidl. The network helps show where Maja M. Seidl may publish in the future.

Countries citing papers authored by Maja M. Seidl

Since Specialization
Citations

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