Lillian G. Matthews
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- Neonatal and fetal brain pathology 23
- Infant Development and Preterm Care 15
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- Neonatal Respiratory Health Research 8
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- Advanced Neuroimaging Techniques and Applications 7
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 7
- Nutrition and Dietetics top 10%
- Infant Nutrition and Health 3
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- Neurological disorders and treatments 4
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Deanne K. ThompsonPeter J. AndersonLex W. DoyleJeanie L.Y. CheongTerrie E. InderClaire E. KellyAlicia J. SpittleMarc L. Seal
- Cited by
- Pediatrics, Perinatology and Child HealthPulmonary and Respiratory MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesAustraliaEstonia
In The Last Decade
Lillian G. Matthews
28 papers receiving 816 citations
Peers
Comparison fields: 5 of 75
- Pediatrics, Perinatology and Child Health 613
- Pulmonary and Respiratory Medicine 275
- Radiology, Nuclear Medicine and Imaging 173
- Cognitive Neuroscience 136
- Nutrition and Dietetics 97
Countries citing papers authored by Lillian G. Matthews
This map shows the geographic impact of Lillian G. Matthews'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 Lillian G. Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lillian G. Matthews more than expected).
Fields of papers citing papers by Lillian G. Matthews
This network shows the impact of papers produced by Lillian G. Matthews. 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 Lillian G. Matthews. The network helps show where Lillian G. Matthews may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lillian G. Matthews, 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 | 2024 | 0 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 42 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 32 | |
| 12 | 2019 | 23 | |
| 13 | 2018 | 60 | |
| 14 | 2018 | 41 | |
| 15 | 2018 | 35 | |
| 16 | 2018 | 42 | |
| 17 | 2018 | 37 | |
| 18 | 2016 | 56 | |
| 19 | 2015 | 18 | |
| 20 | 2015 | 62 |
About Lillian G. Matthews
Lillian G. Matthews is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 30 papers that have together received 820 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (23 papers), Infant Development and Preterm Care (15 papers), Neonatal Respiratory Health Research (8 papers), Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Neurological disorders and treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Infant Nutrition and Health (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (613 citations), Pulmonary and Respiratory Medicine (275 citations) and Radiology, Nuclear Medicine and Imaging (173 citations). Lillian G. Matthews has collaborated with scholars based in United States, Australia and Estonia. Frequent co-authors include Deanne K. Thompson, Peter J. Anderson, Lex W. Doyle, Jeanie L.Y. Cheong, Terrie E. Inder, Claire E. Kelly, Alicia J. Spittle, Marc L. Seal, Richard Beare and Jian Chen. Their work appears in journals such as Nature Communications, PLoS ONE and NeuroImage.
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.