Marja Raekallio

234 total papers · 5.1k total citations
165 papers, 3.2k citations indexed

About

Marja Raekallio is a scholar working on Small Animals, Anesthesiology and Pain Medicine and Equine. According to data from OpenAlex, Marja Raekallio has authored 165 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Small Animals, 57 papers in Anesthesiology and Pain Medicine and 54 papers in Equine. Recurrent topics in Marja Raekallio's work include Veterinary Pharmacology and Anesthesia (97 papers), Anesthesia and Sedative Agents (57 papers) and Veterinary Equine Medical Research (54 papers). Marja Raekallio is often cited by papers focused on Veterinary Pharmacology and Anesthesia (97 papers), Anesthesia and Sedative Agents (57 papers) and Veterinary Equine Medical Research (54 papers). Marja Raekallio collaborates with scholars based in Finland, United Kingdom and United States. Marja Raekallio's co-authors include Outi Vainio, Erja Kuusela, Juhana Honkavaara, Flávia Restitutti, Mika Scheinin, Anna Hielm‐Björkman, Mari Vainionpää, Riitta‐Mari Tulamo, Rachel Bennett and Juhani Leppäluoto and has published in prestigious journals such as Gene, Drug Metabolism and Disposition and Journal of Oral and Maxillofacial Surgery.

In The Last Decade

Marja Raekallio

159 papers receiving 3.0k citations

Author Peers

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

Author Last Decade Papers Cites
Marja Raekallio 2.4k 1.1k 993 743 613 165 3.2k
Peter J. Pascoe 2.5k 1.0× 814 0.8× 994 1.0× 1.5k 2.0× 275 0.4× 139 4.2k
Outi Vainio 2.7k 1.1× 1.4k 1.3× 699 0.7× 808 1.1× 743 1.2× 160 3.7k
Polly Taylor 3.3k 1.4× 594 0.5× 2.2k 2.2× 1.3k 1.7× 385 0.6× 172 4.2k
Butch KuKanich 2.0k 0.9× 303 0.3× 757 0.8× 501 0.7× 791 1.3× 162 3.4k
J. C. Thurmon 2.0k 0.8× 768 0.7× 661 0.7× 884 1.2× 363 0.6× 116 2.7k
Stélio Pacca Loureiro Luna 2.5k 1.1× 337 0.3× 1.3k 1.3× 888 1.2× 423 0.7× 201 3.2k
Joanna C. Murrell 2.1k 0.9× 522 0.5× 729 0.7× 735 1.0× 306 0.5× 107 2.9k
A.E. Waterman 1.9k 0.8× 360 0.3× 608 0.6× 744 1.0× 352 0.6× 100 2.6k
William J. Tranquilli 2.3k 1.0× 1.5k 1.4× 596 0.6× 1.4k 1.9× 411 0.7× 105 3.9k
Sheilah A. Robertson 3.5k 1.5× 500 0.5× 1.6k 1.6× 1.6k 2.1× 457 0.7× 156 5.0k

Countries citing papers authored by Marja Raekallio

Since Specialization
Citations

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

Fields of papers citing papers by Marja Raekallio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marja Raekallio

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