Paavo Uusimaa

49 total papers · 1.3k total citations
34 papers, 977 citations indexed

About

Paavo Uusimaa is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Paavo Uusimaa has authored 34 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Paavo Uusimaa's work include Heart Failure Treatment and Management (12 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Cardiac Arrhythmias and Treatments (6 papers). Paavo Uusimaa is often cited by papers focused on Heart Failure Treatment and Management (12 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Cardiac Arrhythmias and Treatments (6 papers). Paavo Uusimaa collaborates with scholars based in Finland, Hungary and Canada. Paavo Uusimaa's co-authors include Heikki Ruskoaho, Olli Vuolteenaho, M.J. Pekka Raatikainen, Keijo Peuhkurinen, Markku Linnaluoto, Ilmo E. Hassinen, Juha Risteli, Matti Niemelä, Kari Ylitalo and Juhani Leppäluoto and has published in prestigious journals such as Circulation, Circulation Research and Journal of Applied Physiology.

In The Last Decade

Paavo Uusimaa

34 papers receiving 933 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paavo Uusimaa 767 170 142 133 99 34 977
Hanumanth K. Reddy 598 0.8× 180 1.1× 230 1.6× 101 0.8× 64 0.6× 37 912
Dietmar Elsner 683 0.9× 146 0.9× 124 0.9× 173 1.3× 126 1.3× 48 977
Deanne Mickelsen 567 0.7× 440 2.6× 154 1.1× 103 0.8× 83 0.8× 31 1.1k
Carsten Wunderlich 568 0.7× 255 1.5× 195 1.4× 130 1.0× 128 1.3× 63 1.2k
S Sasayama 588 0.8× 85 0.5× 153 1.1× 336 2.5× 144 1.5× 25 914
Yosuke Murase 462 0.6× 171 1.0× 241 1.7× 69 0.5× 84 0.8× 35 961
Alessandro Fucili 437 0.6× 364 2.1× 140 1.0× 135 1.0× 94 0.9× 29 1.1k
Aaron S. Eisman 887 1.2× 86 0.5× 114 0.8× 300 2.3× 94 0.9× 19 1.2k
Ondřej Lisý 631 0.8× 274 1.6× 81 0.6× 165 1.2× 70 0.7× 25 827
Tsuneo Ogawa 671 0.9× 274 1.6× 181 1.3× 149 1.1× 177 1.8× 26 1.2k

Countries citing papers authored by Paavo Uusimaa

Since Specialization
Citations

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

Fields of papers citing papers by Paavo Uusimaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paavo Uusimaa

This figure shows the co-authorship network connecting the top 25 collaborators of Paavo Uusimaa. A scholar is included among the top collaborators of Paavo Uusimaa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paavo Uusimaa. Paavo Uusimaa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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