Don Sharkey
Impact in
- Obstetrics and Gynecology top 2%
- COVID-19 Impact on Reproduction
-
- Birth, Development, and Health
- Neonatal and fetal brain pathology
- Infant Development and Preterm Care
Papers in
-
- Infant Development and Preterm Care 16
- Neonatal and fetal brain pathology 14
- Birth, Development, and Health 12
- Co-authors
- Helen BudgeMichael SymondsSylvain SebértChris GaleMark PopeJohn CroweLisa SzatkowskiCora Doherty
- Journals
- Archives of Disease in Childhood Fetal & Neonatal (14 papers)Pediatric Research (5 papers)The FASEB Journal (3 papers)Acta Paediatrica (3 papers)The Journal of Pediatrics (2 papers)
- Partner nations
- United KingdomAustraliaIndia
In The Last Decade
Don Sharkey
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 119
- Obstetrics and Gynecology 272
- Pediatrics, Perinatology and Child Health 579
- Endocrine and Autonomic Systems 128
- Physiology 350
- Pulmonary and Respiratory Medicine 428
Countries citing papers authored by Don Sharkey
This map shows the geographic impact of Don Sharkey'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 Don Sharkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Sharkey more than expected).
Fields of papers citing papers by Don Sharkey
This network shows the impact of papers produced by Don Sharkey. 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 Don Sharkey. The network helps show where Don Sharkey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Don Sharkey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 29 | |
| 13 | 2021 | 57 | |
| 14 | 2021 | 33 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 6 | |
| 17 | 2019 | 9 | |
| 18 | 2018 | 10 | |
| 19 | 2016 | 28 | |
| 20 | 2009 | 21 |
About Don Sharkey
Don Sharkey is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Emergency Medicine, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (43 papers), Infant Development and Preterm Care (16 papers), Neonatal and fetal brain pathology (14 papers), Congenital Diaphragmatic Hernia Studies (13 papers), Birth, Development, and Health (12 papers), Neuroscience of respiration and sleep (9 papers), Respiratory Support and Mechanisms (8 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Obstetrics and Gynecology (272 citations), Pediatrics, Perinatology and Child Health (579 citations), Endocrine and Autonomic Systems (128 citations), Physiology (350 citations) and Pulmonary and Respiratory Medicine (428 citations). Don Sharkey has collaborated with scholars based in United Kingdom, Australia and India. Frequent co-authors include Helen Budge, Michael Symonds, Sylvain Sebért, Chris Gale, Mark Pope, John Crowe, Lisa Szatkowski, Cora Doherty, Alan C. Perkins and T’ng Chang Kwok. Their work appears in journals such as Archives of Disease in Childhood Fetal & Neonatal, Pediatric Research, The FASEB Journal, Acta Paediatrica and The Journal of Pediatrics.
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.