Tiina Kuulasmaa

17 papers and 598 indexed citations i.

About

Tiina Kuulasmaa is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Tiina Kuulasmaa has authored 17 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in Tiina Kuulasmaa’s work include Metabolism, Diabetes, and Cancer (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and TGF-β signaling in diseases (4 papers). Tiina Kuulasmaa is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and TGF-β signaling in diseases (4 papers). Tiina Kuulasmaa collaborates with scholars based in Finland and Italy. Tiina Kuulasmaa's co-authors include Raimo Voutilainen, Markku Laakso, Jaana Lindström, Matti Uusitupa, Jaakko Tuomilehto, Johanna Kuusisto, Jussi Pihlajamäki, J. Wang, Jianqi Liu and Dorota Kamińska and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Tiina Kuulasmaa i

Fields of papers citing papers by Tiina Kuulasmaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tiina Kuulasmaa

Since Specialization
Citations

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