T Äärimaa

832 citations
23 papers · 477 · h-index 11

Impact in

Papers in

T Äärimaa

22 papers receiving 460 citations

Peers

T Äärimaa
Comparison fields: 5 of 57
  • Pediatrics, Perinatology and Child Health 183
  • Clinical Biochemistry 40
  • Psychiatry and Mental health 84
  • Endocrine and Autonomic Systems 35
  • Cellular and Molecular Neuroscience 73
Replace Barbara Fiedler with:
Barbara Fiedler Germany
Ian J. Hopkins Australia
Yoshihisa Higuchi Japan
Otfried Debus Germany
Ayako Hattori Japan
M. Bechar Israel
Gabriele Wohlrab Switzerland
Tadeusz Foniok Canada
Marek Kaciński Poland
B. Reitter Germany
T Äärimaa relative to Barbara Fiedler Germany Barbara Fiedler's profile →
Citations per field
00.5×1.5×
Barbara Fiedler · 1×
Citations per year

Countries citing papers authored by T Äärimaa

Since Specialization
Citations

This map shows the geographic impact of T Äärimaa'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 T Äärimaa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Äärimaa more than expected).

Fields of papers citing papers by T Äärimaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T Äärimaa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T Äärimaa Line = papers co-authored together T Äärimaa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199685
2 200267
3 200463
4 198856
5 199441
6 200429
7 200421
8 200217
9 200114
10 200113
11
Increased brain glucose utilization in Salla disease (free sialic acid storage disorder).
199911
12 199510
13 20049
14 19978
15 19888
16 19976
17 19885
18 19855
19
[Extracranial metastasis of glioblastoma multiforme in a child].
19743
20 19972

About T Äärimaa

T Äärimaa is a scholar working on Pediatrics, Perinatology and Child Health, Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 23 papers that have together received 477 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (7 papers), Non-Invasive Vital Sign Monitoring (5 papers), Neuroscience of respiration and sleep (4 papers), Neonatal Respiratory Health Research (3 papers), Glioma Diagnosis and Treatment (3 papers), Medical Imaging Techniques and Applications (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Infant Development and Preterm Care (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (183 citations), Clinical Biochemistry (40 citations), Psychiatry and Mental health (84 citations), Endocrine and Autonomic Systems (35 citations) and Cellular and Molecular Neuroscience (73 citations). T Äärimaa has collaborated with scholars based in Finland, Denmark and United States. Frequent co-authors include I. Välimäki, Kari Antila, Pentti Kero, Helena Pihko, Heikki Korvenranta, Riitta Parkkola, Leena Vainionpää, Jörgen Bergman, U Wegelius and Olof Solin. Their work appears in journals such as Early Human Development, Acta Paediatrica, Neurology, Acta Radiologica and Neuropediatrics.

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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