Mauno Lilja

53 total papers · 2.0k total citations
43 papers, 1.6k citations indexed

About

Mauno Lilja is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Mauno Lilja has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 12 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in Mauno Lilja's work include Blood Pressure and Hypertension Studies (16 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Heart Rate Variability and Autonomic Control (7 papers). Mauno Lilja is often cited by papers focused on Blood Pressure and Hypertension Studies (16 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Heart Rate Variability and Autonomic Control (7 papers). Mauno Lilja collaborates with scholars based in Finland, Sweden and United States. Mauno Lilja's co-authors include Asko O. Rantala, Heikki Kauma, Markku J. Savolainen, Antti Reunanen, Heikki V. Huikuri, Y. Antero Kesäniemi, Juhani Airaksinen, Markku J. Ikäheimo, Sirkku M. Pikkujämsä and Antti Ylitalo and has published in prestigious journals such as Circulation, Diabetes Care and Gut.

In The Last Decade

Mauno Lilja

41 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Mauno Lilja 1.0k 495 314 254 173 43 1.6k
Asko O. Rantala 1.1k 1.1× 457 0.9× 311 1.0× 244 1.0× 227 1.3× 20 1.6k
Elli Stefanadi 876 0.9× 218 0.4× 512 1.6× 189 0.7× 111 0.6× 59 1.9k
Alexander Tenenbaum 853 0.8× 669 1.4× 457 1.5× 325 1.3× 95 0.5× 58 1.9k
Sylvie A. Ahn 1.1k 1.1× 491 1.0× 409 1.3× 191 0.8× 64 0.4× 75 1.9k
Carmen Hinojosa‐Laborde 876 0.9× 425 0.9× 519 1.7× 124 0.5× 242 1.4× 89 2.1k
Daniela Manzella 667 0.7× 358 0.7× 182 0.6× 138 0.5× 89 0.5× 39 1.5k
R. J. M. Corrall 812 0.8× 525 1.1× 631 2.0× 121 0.5× 174 1.0× 76 2.2k
Adam G. Goodwill 888 0.9× 409 0.8× 320 1.0× 264 1.0× 58 0.3× 65 2.0k
Lia E. Bang 1.3k 1.3× 384 0.8× 497 1.6× 116 0.5× 62 0.4× 87 2.0k
Patrick H. McNulty 1.1k 1.1× 356 0.7× 306 1.0× 136 0.5× 86 0.5× 44 2.0k

Countries citing papers authored by Mauno Lilja

Since Specialization
Citations

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

Fields of papers citing papers by Mauno Lilja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauno Lilja

This figure shows the co-authorship network connecting the top 25 collaborators of Mauno Lilja. A scholar is included among the top collaborators of Mauno Lilja 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 Mauno Lilja. Mauno Lilja 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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