Anne‐Maj Samuelsson

3.1k citations
24 papers · 2.4k indexed · 1 hit paper · h-index 16

Anne‐Maj Samuelsson

21 papers receiving 2.4k citations

Hit Papers

Diet-Induced Obesity in Female Mice Leads to Offspring Hy...20072026201320192007200400600

Peers

Anne‐Maj Samuelsson
Comparison fields: 5 of 97
  • Pediatrics, Perinatology and Child Health 1.4k
  • Physiology 727
  • Obstetrics and Gynecology 610
  • Public Health, Environmental and Occupational Health 382
  • Epidemiology 341
Replace Caitlin S. Wyrwoll with:
Caitlin S. Wyrwoll Australia
Frank van Bel Netherlands
Elizabeth A. Linton United Kingdom
Alexandra Margeli Greece
Caroline Trumpff United States
Marco Palumbo Italy
Bobbi Fleiss France
A. Roger Hohimer United States
Christine Laborie France
J P Miell United Kingdom
Anne‐Maj Samuelsson relative to Caitlin S. Wyrwoll Australia Caitlin S. Wyrwoll's profile →
Citations per field
00.5×6.6×
Caitlin S. Wyrwoll · 1×
Citations per year

Countries citing papers authored by Anne‐Maj Samuelsson

Since Specialization
Citations

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

Fields of papers citing papers by Anne‐Maj Samuelsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne‐Maj Samuelsson

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 16
4 12
5 12
6 66
7 116
8 41
9 244
10 100
11 296
12 11
13
Diet-Induced Obesity in Female Mice Leads to Offspring Hyperphagia, Adiposity, Hypertension, and Insulin Resistancebreakdown →
709
14 31
15 95
16 197
17 238
18 19
19 58
20 143

About Anne‐Maj Samuelsson

Anne‐Maj Samuelsson is a scholar working on Behavioral Neuroscience, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 24 papers that have together received 2.4k indexed citations. Recurring topics across this work include Birth, Development, and Health (13 papers), Adipose Tissue and Metabolism (8 papers) and Sodium Intake and Health (4 papers). The work is most often cited by research in Obstetrics and Gynecology (610 citations), Pediatrics, Perinatology and Child Health (1.4k citations) and Biological Psychiatry (162 citations). Anne‐Maj Samuelsson has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Lucilla Poston, Paul Taylor, Agneta Holmäng, Marco Argenton, Phillippa A. Matthews, Susan E. Ozanne, Denise S. Fernandez‐Twinn, Hans‐Arne Hansson, Eva Jennische and Jovanna Dahlgren. Their work appears in journals such as Circulation, PLoS ONE and Hepatology.

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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