David Odd

74 papers receiving 1.6k citations

Peers

David Odd
Comparison fields: 5 of 98
  • Pediatrics, Perinatology and Child Health 798
  • Obstetrics and Gynecology 153
  • Modeling and Simulation 48
  • Cellular and Molecular Neuroscience 123
  • Biological Psychiatry 10
Replace Karen Luyt with:
Karen Luyt United Kingdom
Veronique Zupan France
Thuy Mai Luu Canada
Laetitia Marchand‐Martin France
Tamar Wainstock Israel
Nancy C. Chescheir United States
Jeffrey E. Korte United States
John Colin Partridge United States
Gry Poulsen Denmark
Dominique Acolet United Kingdom
David Odd relative to Karen Luyt United Kingdom Karen Luyt's profile →
Citations per field
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Karen Luyt · 1×
Citations per year

Countries citing papers authored by David Odd

Since Specialization
Citations

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

Fields of papers citing papers by David Odd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015128
2 2009111
3 2009110
4 2021110
5 2007101
6 200190
7 201779
8 201257
9 202052
10 200748
11 201744
12 200440
13 201937
14 201134
15 202132
16 202131
17 200830
18 202427
19 202026
20 201324

About David Odd

David Odd is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions, Obstetrics and Gynecology, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (31 papers), Infant Development and Preterm Care (29 papers), Maternal and Neonatal Healthcare (10 papers), Maternal and Perinatal Health Interventions (5 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 and healthcare impacts (4 papers), COVID-19 epidemiological studies (4 papers) and Neonatal and Maternal Infections (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (798 citations), Obstetrics and Gynecology (153 citations), Modeling and Simulation (48 citations), Cellular and Molecular Neuroscience (123 citations) and Biological Psychiatry (10 citations). David Odd has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Andrew Whitelaw, Glyn Lewis, David Gunnell, Karen Luyt, Alan Martin Emond, Colin Kennedy, Luc P. Brion, Finn E Rasmussen, Axel Heep and David Evans. Their work appears in journals such as BMJ Open, Archives of Disease in Childhood, The Journal of Maternal-Fetal & Neonatal Medicine, Archives of Disease in Childhood Fetal & Neonatal and Cochrane Database of Systematic Reviews.

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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