Tanya Podchiyska

10 papers and 367 indexed citations i.

About

Tanya Podchiyska is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Tanya Podchiyska has authored 10 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Health Information Management. Recurrent topics in Tanya Podchiyska’s work include Machine Learning in Healthcare (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Semantic Web and Ontologies (3 papers). Tanya Podchiyska is often cited by papers focused on Machine Learning in Healthcare (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Semantic Web and Ontologies (3 papers). Tanya Podchiyska collaborates with scholars based in United States and Canada. Tanya Podchiyska's co-authors include Nigam H. Shah, Henry Lowe, Todd Ferris, Jonathan H. Chen, David M. Maslove, Rave Harpaz, Anna Bauer‐Mehren, Jonathan Mortensen, Paea LePendu and Russ B. Altman and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Tanya Podchiyska i

Fields of papers citing papers by Tanya Podchiyska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tanya Podchiyska

Since Specialization
Citations

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