Sanna Laakso

21 total papers · 525 total citations
13 papers, 368 citations indexed

About

Sanna Laakso is a scholar working on Infectious Diseases, Clinical Biochemistry and Epidemiology. According to data from OpenAlex, Sanna Laakso has authored 13 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Clinical Biochemistry and 4 papers in Epidemiology. Recurrent topics in Sanna Laakso's work include Bacterial Identification and Susceptibility Testing (5 papers), Mycobacterium research and diagnosis (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Sanna Laakso is often cited by papers focused on Bacterial Identification and Susceptibility Testing (5 papers), Mycobacterium research and diagnosis (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Sanna Laakso collaborates with scholars based in Finland, Sweden and United Kingdom. Sanna Laakso's co-authors include Minna Mäki, Anne Aittakorpi, Heli Piiparinen, Päivi Tissari, Alimuddin Zumla, Vanya Gant, Sointu Mero, Jim F. Huggett, Martti Vaara and Laura Huopaniemi and has published in prestigious journals such as The Lancet, PLoS ONE and Lab on a Chip.

In The Last Decade

Sanna Laakso

13 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Sanna Laakso 133 133 112 91 58 13 368
Anne Aittakorpi 126 0.9× 138 1.0× 90 0.8× 92 1.0× 49 0.8× 7 333
Silvia Carletti 201 1.5× 170 1.3× 84 0.8× 44 0.5× 99 1.7× 19 423
Jan Gorm Lisby 129 1.0× 151 1.1× 124 1.1× 87 1.0× 19 0.3× 19 416
Ernestine M. Vellozzi 80 0.6× 69 0.5× 135 1.2× 29 0.3× 72 1.2× 14 394
Parampal Deol 165 1.2× 132 1.0× 75 0.7× 44 0.5× 21 0.4× 12 435
Diane Flayhart 128 1.0× 230 1.7× 214 1.9× 29 0.3× 91 1.6× 11 418
Scott Matushek 146 1.1× 97 0.7× 197 1.8× 49 0.5× 53 0.9× 13 405
Xuedong Lu 167 1.3× 79 0.6× 111 1.0× 102 1.1× 30 0.5× 12 348
Xavier Gomis 177 1.3× 48 0.4× 192 1.7× 32 0.4× 59 1.0× 18 424
Ghada N. Al‐Rawahi 106 0.8× 71 0.5× 315 2.8× 48 0.5× 62 1.1× 28 419

Countries citing papers authored by Sanna Laakso

Since Specialization
Citations

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

Fields of papers citing papers by Sanna Laakso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanna Laakso

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