Nina Gunnes

3.6k citations
54 papers · 2.3k indexed · 2 hit papers · h-index 25
Topics
Pregnancy and preeclampsia studies (9 papers)Autism Spectrum Disorder Research (7 papers)SARS-CoV-2 and COVID-19 Research (6 papers)
Journals
New England Journal of MedicineSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Nina Gunnes

53 papers receiving 2.2k citations

Hit Papers

Incidence and Prevalence of Childhood Epilepsy: A Nationw...201720262020202320172022100200300

Peers

Nina Gunnes
Comparison fields: 5 of 120
  • Psychiatry and Mental health 745
  • Pediatrics, Perinatology and Child Health 589
  • Cognitive Neuroscience 444
  • Epidemiology 397
  • Public Health, Environmental and Occupational Health 327
Replace Kirsten A. Donald with:
Kirsten A. Donald South Africa
Pål Surén Norway
Peter Jacoby Australia
Marni Jacobs United States
Ousseny Zerbo United States
Kreesten Meldgaard Madsen Denmark
Marianne Giørtz Pedersen Denmark
Michael E. Silverman United States
Andrea Bradford United States
Jacob Kuint Israel
Nina Gunnes relative to Kirsten A. Donald South Africa Kirsten A. Donald's profile →
Citations per field
00.5×1.5×1.8×
Kirsten A. Donald · 1×
Citations per year

Countries citing papers authored by Nina Gunnes

Since Specialization
Citations

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

Fields of papers citing papers by Nina Gunnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Gunnes

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Gunnes. A scholar is included among the top collaborators of Nina Gunnes 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 Nina Gunnes. Nina Gunnes 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 1
2 1
3 0
4 4
5 20
6 12
7 12
8 6
9 5
10 7
11 26
12 126
13 12
14 120
15 9
16 43
17 59
18 32
19 44
20 18

About Nina Gunnes

Nina Gunnes is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Autism Spectrum Disorder Research (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Psychiatry and Mental health (745 citations), Obstetrics and Gynecology (292 citations) and Pediatrics, Perinatology and Child Health (589 citations). Nina Gunnes has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Per Magnus, Camilla Stoltenberg, Inger Johanne Bakken, Pål Surén, Lill Trogstad, Synnve Schjølberg, Richard Chin, Siri E. Håberg, Kari Kveim Lie and Sara Ghaderi. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

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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