Sven Lyrenäs

33 papers receiving 896 citations

Peers

Sven Lyrenäs
Comparison fields: 5 of 85
  • Obstetrics and Gynecology 180
  • Behavioral Neuroscience 45
  • Rheumatology 157
  • Endocrinology, Diabetes and Metabolism 127
  • Cellular and Molecular Neuroscience 138
Replace Helena Kaihola with:
Helena Kaihola Sweden
Ken Muse United States
Deborah D. Ricker United States
José Rodrı́guez-Espinosa Spain
W. F. Blum Germany
V. Minas Greece
Ina N. Cholst United States
Risto Erkkola Finland
Hsiang-Tai Chao Taiwan
Edward N. Ehrlich United States
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Citations per field
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Citations per year

Countries citing papers authored by Sven Lyrenäs

Since Specialization
Citations

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

Fields of papers citing papers by Sven Lyrenäs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985178
2 200196
3 200177
4 198473
5 198163
6 201156
7 199747
8 198942
9 200132
10 199832
11 200927
12 200626
13 199823
14 200421
15 198719
16 200117
17 200216
18 199116
19
Cerebrospinal fluid activity of dynorphin-converting enzyme at term pregnancy.
198816
20 201012

About Sven Lyrenäs

Sven Lyrenäs is a scholar working on Cellular and Molecular Neuroscience, Obstetrics and Gynecology, Surgery, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 972 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Maternal and Perinatal Health Interventions (6 papers), Anesthesia and Pain Management (4 papers), Pelvic floor disorders treatments (3 papers), Pregnancy-related medical research (2 papers), Prenatal Substance Exposure Effects (2 papers), Preterm Birth and Chorioamnionitis (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (180 citations), Behavioral Neuroscience (45 citations), Rheumatology (157 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Cellular and Molecular Neuroscience (138 citations). Sven Lyrenäs has collaborated with scholars based in Sweden and Poland. Frequent co-authors include K. Charlotte Jandér, Bo von Schoultz, Torbjörn Bäckström, Fred Nyberg, Stefan Hammarbäck, Lars Terenius, Elisabeth Darj, Bo Lindberg, L. Lindström and Malin Thorsell. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, Gynecologic and Obstetric Investigation, BJOG An International Journal of Obstetrics & Gynaecology, Biomedical Chromatography and Sexual & Reproductive Healthcare.

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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