R. Lahesmaa-Rantala

20 total papers · 1.1k total citations
13 papers, 839 citations indexed

About

R. Lahesmaa-Rantala is a scholar working on Genetics, Rheumatology and Pharmacology. According to data from OpenAlex, R. Lahesmaa-Rantala has authored 13 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Rheumatology and 5 papers in Pharmacology. Recurrent topics in R. Lahesmaa-Rantala's work include Yersinia bacterium, plague, ectoparasites research (8 papers), Rheumatoid Arthritis Research and Therapies (7 papers) and Pharmacological Effects of Natural Compounds (5 papers). R. Lahesmaa-Rantala is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (8 papers), Rheumatoid Arthritis Research and Therapies (7 papers) and Pharmacological Effects of Natural Compounds (5 papers). R. Lahesmaa-Rantala collaborates with scholars based in Finland, United States and Sweden. R. Lahesmaa-Rantala's co-authors include Kaisa Granfors, Auli Toivanen, Sirpa Jalkanen, R. von Essen, R. Saario, Kirsi Pekkola‐Heino, Heikki Isomäki, R Merilahti-Palo, Rauli Leino and H Isomäki and has published in prestigious journals such as New England Journal of Medicine, The Lancet and The Journal of Infectious Diseases.

In The Last Decade

R. Lahesmaa-Rantala

13 papers receiving 782 citations

Author Peers

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

Author Last Decade Papers Cites
R. Lahesmaa-Rantala 427 254 233 150 135 13 839
R Merilahti-Palo 515 1.2× 257 1.0× 238 1.0× 173 1.2× 150 1.1× 19 954
M. Boy 397 0.9× 74 0.3× 145 0.6× 177 1.2× 41 0.3× 25 877
Annalisa Pianta 166 0.4× 145 0.6× 136 0.6× 103 0.7× 541 4.0× 22 1.0k
Kaitlin A. Read 118 0.3× 117 0.5× 576 2.5× 45 0.3× 345 2.6× 26 1.0k
R R Brown 166 0.4× 148 0.6× 305 1.3× 43 0.3× 188 1.4× 15 739
C.E.M. Allsopp 86 0.2× 97 0.4× 398 1.7× 88 0.6× 174 1.3× 12 983
B Chiu 254 0.6× 35 0.1× 288 1.2× 105 0.7× 135 1.0× 20 849
A E Gabrielsen 96 0.2× 123 0.5× 462 2.0× 71 0.5× 91 0.7× 28 737
E R de Graeff-Meeder 102 0.2× 64 0.3× 350 1.5× 158 1.1× 527 3.9× 17 963
T. H. Bacon 79 0.2× 106 0.4× 122 0.5× 31 0.2× 76 0.6× 18 821

Countries citing papers authored by R. Lahesmaa-Rantala

Since Specialization
Citations

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

Fields of papers citing papers by R. Lahesmaa-Rantala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Lahesmaa-Rantala. 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 R. Lahesmaa-Rantala. The network helps show where R. Lahesmaa-Rantala may publish in the future.

Co-authorship network of co-authors of R. Lahesmaa-Rantala

This figure shows the co-authorship network connecting the top 25 collaborators of R. Lahesmaa-Rantala. A scholar is included among the top collaborators of R. Lahesmaa-Rantala 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 R. Lahesmaa-Rantala. R. Lahesmaa-Rantala 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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