S. Goodburn

11 papers receiving 320 citations

Peers

S. Goodburn
Comparison fields: 5 of 45
  • Pediatrics, Perinatology and Child Health 150
  • Cellular and Molecular Neuroscience 134
  • Neurology 50
  • Obstetrics and Gynecology 16
  • Infectious Diseases 24
Replace Michiko Torio with:
Michiko Torio Japan
Ángel Sánchez‐Montáñez Spain
Carys Bannister United Kingdom
Catherine Vanhulle France
R. Riel-Romero United States
Sarah Glatter Austria
Alison Bartolucci United States
M. el Azazi Sweden
Mehmet Canpolat Türkiye
Ronald B. David United States
S. Goodburn relative to Michiko Torio Japan Michiko Torio's profile →
Citations per field
00.5×7.9×
Michiko Torio · 1×
Citations per year

Countries citing papers authored by S. Goodburn

Since Specialization
Citations

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

Fields of papers citing papers by S. Goodburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 199891
2 199483
3 199743
4 200442
5 199030
6 199419
7 199512
8 20058
9 20024
10
Numbers or words? A randomised controlled trial of presenting screen negative results to pregnant women
20002
11 19962
12 19960

About S. Goodburn

S. Goodburn is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Surgery, having authored 12 papers that have together received 336 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (3 papers), Genetic Neurodegenerative Diseases (3 papers), Mitochondrial Function and Pathology (2 papers), Folate and B Vitamins Research (1 paper), Cleft Lip and Palate Research (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Neurological disorders and treatments (1 paper) and Congenital Diaphragmatic Hernia Studies (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (150 citations), Cellular and Molecular Neuroscience (134 citations), Neurology (50 citations), Obstetrics and Gynecology (16 citations) and Infectious Diseases (24 citations). S. Goodburn has collaborated with scholars based in United Kingdom, South Sudan and United States. Frequent co-authors include David C. Rubinsztein, Judy Rubinsztein, A J Holland, Howard Cuckle, M.A. Ferguson‐Smith, Peter J. McKenna, P. J. D. Milton, Ann Kershaw, James R. Yates and Malcolm Ferguson-Smith. Their work appears in journals such as Prenatal Diagnosis, Journal of Medical Genetics, Psychiatric Genetics, Journal of Neurology Neurosurgery & Psychiatry and BMJ.

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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