L. Kaij

1.5k citations
47 papers · 1.3k · h-index 24

Impact in

Papers in

L. Kaij

46 papers receiving 1.1k citations

Peers

L. Kaij
Comparison fields: 5 of 90
  • Clinical Psychology 475
  • Public Health, Environmental and Occupational Health 532
  • Psychiatry and Mental health 229
  • Obstetrics and Gynecology 86
  • Pharmacy 54
Replace Allen Morris‐Yates with:
Allen Morris‐Yates Australia
Diana Adams United Kingdom
Maureen Marks United Kingdom
Kari Kveim Lie Norway
Quetzal A. Class United States
Elizabeth L. McGarvey United States
Carmen Hernández‐Martínez Spain
Johan Cullberg Sweden
Katerina Koutra Greece
Kirsten von Sydow Germany
L. Kaij relative to Allen Morris‐Yates Australia Allen Morris‐Yates's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. Kaij

Since Specialization
Citations

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

Fields of papers citing papers by L. Kaij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside L. Kaij, 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 L. Kaij Line = papers co-authored together L. Kaij links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1961136
2 197569
3 198365
4 198455
5 198451
6 197350
7 198749
8 195949
9 198447
10 196547
11 197545
12 198443
13 198436
14 198636
15 197034
16 198332
17 198531
18 196730
19 196730
20 196929

About L. Kaij

L. Kaij is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology, Sociology and Political Science, Pediatrics, Perinatology and Child Health and Pharmacy, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (22 papers), Child and Adolescent Psychosocial and Emotional Development (11 papers), Homicide, Infanticide, and Child Abuse (10 papers), Infant Health and Development (5 papers), Assisted Reproductive Technology and Twin Pregnancy (5 papers), Schizophrenia research and treatment (4 papers), Social and Educational Sciences (2 papers) and Maternal and Perinatal Health Interventions (2 papers). The work is most often cited by research in Clinical Psychology (475 citations), Public Health, Environmental and Occupational Health (532 citations), Psychiatry and Mental health (229 citations), Obstetrics and Gynecology (86 citations) and Pharmacy (54 citations). L. Kaij has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Thomas F. McNeil, David Rosenthal, I. Persson‐Blennow, Å. Nilsson, Lewis E. Jacobson, Rune Cederlöf, T. F. McNeil, Anna Malmquist, S. J. Dencker and Birger Åstedt. Their work appears in journals such as Acta Psychiatrica Scandinavica, Journal of Psychosomatic Research, The British Journal of Psychiatry, Acta Obstetricia Et Gynecologica Scandinavica and Social Psychiatry and Psychiatric Epidemiology.

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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