Kai Eriksson

3.2k citations
62 papers · 1.7k · h-index 23

Impact in

Papers in

Kai Eriksson

54 papers receiving 1.6k citations

Peers

Kai Eriksson
Comparison fields: 5 of 127
  • Psychiatry and Mental health 737
  • Pediatrics, Perinatology and Child Health 666
  • Rheumatology 189
  • Clinical Biochemistry 49
  • Cellular and Molecular Neuroscience 131
Replace Danya F. Vears with:
Danya F. Vears Australia
Deb K. Pal United Kingdom
Brian Hon‐Yin Chung Hong Kong
Alessandro Orsini Italy
Stephen Howell United Kingdom
Christie Barker‐Cummings United States
John Moriarty United Kingdom
Lutfi Jaber Israel
Richard O’Reilly Canada
Andrew D. Carothers United Kingdom
Kai Eriksson relative to Danya F. Vears Australia Danya F. Vears's profile →
Citations per field
00.5×1.5×2.4×
Danya F. Vears · 1×
Citations per year

Countries citing papers authored by Kai Eriksson

Since Specialization
Citations

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

Fields of papers citing papers by Kai Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Eriksson, 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 Kai Eriksson Line = papers co-authored together Kai Eriksson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997164
2 2008137
3 2006133
4 201491
5 200589
6 200267
7 200662
8 200154
9 201852
10 201349
11 201249
12 200548
13 200646
14 201144
15 201241
16 201141
17 200740
18 200139
19 200338
20 200433

About Kai Eriksson

Kai Eriksson is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Genetics, Cellular and Molecular Neuroscience and Sociology and Political Science, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Epilepsy research and treatment (22 papers), Pharmacological Effects and Toxicity Studies (10 papers), Neonatal and fetal brain pathology (9 papers), Genetics and Neurodevelopmental Disorders (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Research in Social Sciences (3 papers), Autism Spectrum Disorder Research (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Psychiatry and Mental health (737 citations), Pediatrics, Perinatology and Child Health (666 citations), Rheumatology (189 citations), Clinical Biochemistry (49 citations) and Cellular and Molecular Neuroscience (131 citations). Kai Eriksson has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Reetta Kälviäinen, M Koivikko, Seppo Heinonen, Kati Rantanen, Pirkko Nieminen, Tiina Luukkaala, Outi Tammela, Päivi Koskenkorva, Esa Mervaala and Ritva Vanninen. Their work appears in journals such as Epilepsia, Epilepsy & Behavior, Epilepsy Research, Journal of Child Neurology and European Journal of Human Genetics.

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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