Kaija Pekari

34 total papers · 911 total citations
29 papers, 737 citations indexed

About

Kaija Pekari is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Process Chemistry and Technology. According to data from OpenAlex, Kaija Pekari has authored 29 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 15 papers in Health, Toxicology and Mutagenesis and 3 papers in Process Chemistry and Technology. Recurrent topics in Kaija Pekari's work include Carcinogens and Genotoxicity Assessment (16 papers), Toxic Organic Pollutants Impact (8 papers) and Air Quality and Health Impacts (4 papers). Kaija Pekari is often cited by papers focused on Carcinogens and Genotoxicity Assessment (16 papers), Toxic Organic Pollutants Impact (8 papers) and Air Quality and Health Impacts (4 papers). Kaija Pekari collaborates with scholars based in Finland, France and United States. Kaija Pekari's co-authors include Antero Aitio, Sinikka Vainiotalo, Vesa Riihimäki, Kai Savolainen, Frédéric Y. Bois, Martyn T. Smith, Pirkko Pfäffli, Pirjo Heikkilä, Arto Laine and Helmuth Sippel and has published in prestigious journals such as The Science of The Total Environment, Environmental Health Perspectives and Chemosphere.

In The Last Decade

Kaija Pekari

28 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Kaija Pekari 421 403 85 65 64 29 737
A. C. Monster 284 0.7× 307 0.8× 86 1.0× 106 1.6× 67 1.0× 33 720
Tomoshi Nishizawa 335 0.8× 230 0.6× 114 1.3× 59 0.9× 53 0.8× 28 768
P. O. Droz 399 0.9× 280 0.7× 45 0.5× 81 1.2× 132 2.1× 42 859
L. M. Appelman 340 0.8× 275 0.7× 137 1.6× 26 0.4× 52 0.8× 18 872
J. Brodeur 405 1.0× 344 0.9× 99 1.2× 81 1.2× 149 2.3× 49 867
Shi‐Xiong Cai 323 0.8× 421 1.0× 72 0.8× 35 0.5× 67 1.0× 22 628
Edward V. Sargent 385 0.9× 122 0.3× 73 0.9× 31 0.5× 69 1.1× 42 899
Agneta Löf 278 0.7× 201 0.5× 108 1.3× 94 1.4× 66 1.0× 26 798
Caroline Ring 517 1.2× 157 0.4× 131 1.5× 38 0.6× 49 0.8× 38 837
Richard W. Niemeier 284 0.7× 250 0.6× 91 1.1× 24 0.4× 107 1.7× 33 775

Countries citing papers authored by Kaija Pekari

Since Specialization
Citations

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

Fields of papers citing papers by Kaija Pekari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaija Pekari

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