Pia Vuorela

158 papers and 6.5k indexed citations i.

About

Pia Vuorela is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Pia Vuorela has authored 158 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 36 papers in Plant Science and 23 papers in Organic Chemistry. Recurrent topics in Pia Vuorela’s work include Computational Drug Discovery Methods (20 papers), Bacterial biofilms and quorum sensing (19 papers) and Reproductive tract infections research (15 papers). Pia Vuorela is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Bacterial biofilms and quorum sensing (19 papers) and Reproductive tract infections research (15 papers). Pia Vuorela collaborates with scholars based in Finland, United States and Austria. Pia Vuorela's co-authors include Heikki Vuorela, Marina Heinonen, Adyary Fallarero, Riina Nieminen, Eeva Moilanen, Mari Hämäläinen, R. Hiltunen, Jussi‐Pekka Rauha, Päivi Tammela and Kalevi Pihlaja and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Pia Vuorela i

Fields of papers citing papers by Pia Vuorela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pia Vuorela

Since Specialization
Citations

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