Erkki Wuolijoki

23 total papers · 840 total citations
20 papers, 630 citations indexed

About

Erkki Wuolijoki is a scholar working on Surgery, Pharmacology and Epidemiology. According to data from OpenAlex, Erkki Wuolijoki has authored 20 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 5 papers in Pharmacology and 4 papers in Epidemiology. Recurrent topics in Erkki Wuolijoki's work include Inflammatory mediators and NSAID effects (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Erkki Wuolijoki is often cited by papers focused on Inflammatory mediators and NSAID effects (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Erkki Wuolijoki collaborates with scholars based in Finland, New Zealand and France. Erkki Wuolijoki's co-authors include Pauli Ylitalo, Tuomo Nieminen, Immo Rantala, Ilkka Kallela, Heikki Kainulainen, Terho Lehtimäki, Ritva Ylitalo, Saara Lehtinen, Jarkko Haapasaari and Epp Sepp and has published in prestigious journals such as Journal of the American Geriatrics Society, Journal of Antimicrobial Chemotherapy and Clinica Chimica Acta.

In The Last Decade

Erkki Wuolijoki

20 papers receiving 587 citations

Author Peers

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

Author Last Decade Papers Cites
Erkki Wuolijoki 176 103 87 82 81 20 630
Alessandra Gori 186 1.1× 71 0.7× 46 0.5× 45 0.5× 31 0.4× 40 582
Elizabeth Scanlon 231 1.3× 102 1.0× 95 1.1× 106 1.3× 23 0.3× 16 746
Augusto César Cropanese Spadaro 56 0.3× 87 0.8× 48 0.6× 53 0.6× 22 0.3× 34 707
Ludovic Everard Bejenaru 54 0.3× 110 1.1× 78 0.9× 113 1.4× 36 0.4× 44 566
Tianlin Gao 104 0.6× 209 2.0× 78 0.9× 174 2.1× 27 0.3× 50 778
Thor A. Söderberg 167 0.9× 35 0.3× 46 0.5× 35 0.4× 19 0.2× 23 616
C.G. van Hoogmoed 244 1.4× 99 1.0× 16 0.2× 59 0.7× 38 0.5× 13 711
Min Park 300 1.7× 71 0.7× 54 0.6× 73 0.9× 28 0.3× 42 696
Silvia Di Lodovico 61 0.3× 194 1.9× 44 0.5× 36 0.4× 30 0.4× 41 719
Ajay Kumar 74 0.4× 305 3.0× 67 0.8× 63 0.8× 16 0.2× 19 688

Countries citing papers authored by Erkki Wuolijoki

Since Specialization
Citations

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

Fields of papers citing papers by Erkki Wuolijoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erkki Wuolijoki

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