Anne Aittakorpi

474 total citations
7 papers, 333 citations indexed

About

Anne Aittakorpi is a scholar working on Molecular Biology, Clinical Biochemistry and Epidemiology. According to data from OpenAlex, Anne Aittakorpi has authored 7 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Clinical Biochemistry and 3 papers in Epidemiology. Recurrent topics in Anne Aittakorpi's work include Bacterial Identification and Susceptibility Testing (4 papers), Molecular Biology Techniques and Applications (2 papers) and Mycobacterium research and diagnosis (2 papers). Anne Aittakorpi is often cited by papers focused on Bacterial Identification and Susceptibility Testing (4 papers), Molecular Biology Techniques and Applications (2 papers) and Mycobacterium research and diagnosis (2 papers). Anne Aittakorpi collaborates with scholars based in Finland, United Kingdom and Switzerland. Anne Aittakorpi's co-authors include Minna Mäki, Sanna Laakso, Heli Piiparinen, Martti Vaara, Vanya Gant, Laura Huopaniemi, Alimuddin Zumla, Jim F. Huggett, Anna‐Kaarina Järvinen and Sointu Mero and has published in prestigious journals such as The Lancet, Journal of Clinical Microbiology and Lab on a Chip.

In The Last Decade

Anne Aittakorpi

7 papers receiving 322 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anne Aittakorpi Finland	6	138	126	92	91	59	7	333
Sanna Laakso Finland	10	133 1.0×	133 1.1×	92 1.0×	113 1.2×	53 0.9×	13	370
Helge Mühl Germany	4	178 1.3×	190 1.5×	33 0.4×	84 0.9×	49 0.8×	6	314
Xuedong Lu China	8	80 0.6×	169 1.3×	102 1.1×	112 1.2×	69 1.2×	12	354
Shigeyuki Notake Japan	13	90 0.7×	120 1.0×	99 1.1×	198 2.2×	103 1.7×	34	422
Nadya Andini United States	10	75 0.5×	137 1.1×	54 0.6×	120 1.3×	86 1.5×	11	294
Diane Dare United Kingdom	8	195 1.4×	113 0.9×	61 0.7×	31 0.3×	89 1.5×	10	358
Michelle J. Bauer Australia	12	56 0.4×	108 0.9×	70 0.8×	71 0.8×	166 2.8×	37	451
Robert S. Liao Canada	9	130 0.9×	214 1.7×	29 0.3×	289 3.2×	93 1.6×	11	462
Sherilynn Vogel United States	9	94 0.7×	106 0.8×	40 0.4×	241 2.6×	55 0.9×	9	322
Hideji Yanagisawa Japan	12	115 0.8×	143 1.1×	29 0.3×	138 1.5×	90 1.5×	19	376

Countries citing papers authored by Anne Aittakorpi

Since Specialization

Citations

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

Fields of papers citing papers by Anne Aittakorpi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Aittakorpi

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Aittakorpi. A scholar is included among the top collaborators of Anne Aittakorpi 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 Anne Aittakorpi. Anne Aittakorpi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Hinić, Vladimira, et al.. (2014). Evaluation of the novel microarray-based Prove-it™ Bone&Joint assay for direct detection of pathogens from normally sterile body sites in comparison with culture and broad-range bacterial PCR. Journal of Microbiological Methods. 107. 38–40. 5 indexed citations

Aittakorpi, Anne, Pentti Kuusela, Pirkko Koukila-Kähkölä, et al.. (2012). Accurate and Rapid Identification of Candida spp. Frequently Associated with Fungemia by Using PCR and the Microarray-Based Prove-it Sepsis Assay. Journal of Clinical Microbiology. 50(11). 3635–3640. 43 indexed citations

Hokkanen, Ari, Minna Mäki, Anne Aittakorpi, et al.. (2011). Disposable roll-to-roll hot embossed electrophoresis chip for detection of antibiotic resistance genemecA in bacteria. Lab on a Chip. 12(2). 333–339. 47 indexed citations

Järvinen, Anna‐Kaarina, Sanna Laakso, Anne Aittakorpi, et al.. (2009). Rapid identification of bacterial pathogens using a PCR- and microarray-based assay. BMC Microbiology. 9(1). 161–161. 82 indexed citations

Tissari, Päivi, Alimuddin Zumla, Eveliina Tarkka, et al.. (2009). Accurate and rapid identification of bacterial species from positive blood cultures with a DNA-based microarray platform: an observational study. The Lancet. 375(9710). 224–230. 145 indexed citations

Järvinen, Anna‐Kaarina, Sanna Laakso, Anne Aittakorpi, et al.. (2008). Rapid identification of sepsis-causing pathogens with polymerase chain reaction and microarray-based assay. Critical Care. 12(Suppl 5). P27–P27. 1 indexed citations

Isosomppi, Juha, et al.. (2006). Two Finnish USH1B patients with three novel mutations in myosin VIIA.. PubMed. 12. 1093–7. 10 indexed citations

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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