Topun Austin

5.0k total citations
91 papers, 2.7k citations indexed

About

Topun Austin is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Topun Austin has authored 91 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Pediatrics, Perinatology and Child Health, 39 papers in Radiology, Nuclear Medicine and Imaging and 35 papers in Biomedical Engineering. Recurrent topics in Topun Austin's work include Neonatal and fetal brain pathology (46 papers), Optical Imaging and Spectroscopy Techniques (35 papers) and Non-Invasive Vital Sign Monitoring (31 papers). Topun Austin is often cited by papers focused on Neonatal and fetal brain pathology (46 papers), Optical Imaging and Spectroscopy Techniques (35 papers) and Non-Invasive Vital Sign Monitoring (31 papers). Topun Austin collaborates with scholars based in United Kingdom, Italy and Netherlands. Topun Austin's co-authors include Jeremy C. Hebden, Judith Meek, John Wyatt, Adam Gibson, Marek Czosnyka, Cristine Sortica da Costa, David T. Delpy, Nick Everdell, Simon Arridge and Rozarina Md. Yusof and has published in prestigious journals such as PLoS ONE, NeuroImage and The Journal of Physiology.

In The Last Decade

Topun Austin

87 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Topun Austin United Kingdom 31 1.1k 1.0k 1.0k 762 346 91 2.7k
Judith Meek United Kingdom 23 1.5k 1.3× 952 0.9× 1.2k 1.1× 569 0.7× 377 1.1× 52 2.7k
Monica Fumagalli Italy 36 659 0.6× 1.8k 1.8× 272 0.3× 1.2k 1.6× 382 1.1× 168 3.7k
Adré du Plessis United States 27 385 0.3× 1.2k 1.2× 351 0.3× 461 0.6× 332 1.0× 82 2.8k
Janet S. Soul United States 38 740 0.7× 3.5k 3.3× 439 0.4× 1.9k 2.5× 376 1.1× 105 5.0k
Mona C. Toet Netherlands 33 483 0.4× 2.7k 2.6× 524 0.5× 1.4k 1.9× 196 0.6× 63 3.5k
Hans Ulrich Bucher Switzerland 34 480 0.4× 2.1k 2.0× 349 0.3× 1.6k 2.1× 462 1.3× 132 3.6k
Owen J. Arthurs United Kingdom 33 2.1k 1.9× 722 0.7× 283 0.3× 236 0.3× 557 1.6× 212 3.7k
Jeroen Dudink Netherlands 29 408 0.4× 1.8k 1.7× 171 0.2× 833 1.1× 136 0.4× 176 2.6k
Paul Govaert Netherlands 35 316 0.3× 2.2k 2.1× 197 0.2× 1.0k 1.3× 361 1.0× 162 3.8k
Simon Roth United Kingdom 17 534 0.5× 1.3k 1.2× 313 0.3× 711 0.9× 170 0.5× 29 1.9k

Countries citing papers authored by Topun Austin

Since Specialization
Citations

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

Fields of papers citing papers by Topun Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Topun Austin

This figure shows the co-authorship network connecting the top 25 collaborators of Topun Austin. A scholar is included among the top collaborators of Topun Austin 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 Topun Austin. Topun Austin 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
2.
Chock, Valerie Y., Zachary A. Vesoulis, Mohamed El‐Dib, Topun Austin, & Frank van Bel. (2024). The Future of Neonatal Cerebral Oxygenation Monitoring: Directions After the SafeBoosC-III Trial. The Journal of Pediatrics. 270. 114016–114016. 2 indexed citations
3.
Aydin, Ezra, Alex Tsompanidis, Carrie Allison, et al.. (2024). Fetal brain growth and infant autistic traits. Molecular Autism. 15(1). 11–11. 2 indexed citations
4.
Dudink, Jeroen, et al.. (2024). Sleep as a driver of pre- and postnatal brain development. Pediatric Research. 96(6). 1503–1509. 5 indexed citations
5.
Wang, Xiaohui, Renée A. Shellhaas, Topun Austin, et al.. (2022). Creating an optimal observational sleep stage classification system for very and extremely preterm infants. Sleep Medicine. 90. 167–175. 16 indexed citations
7.
French, Courtney E., Helen Dolling, Karyn Mégy, et al.. (2022). Refinements and considerations for trio whole-genome sequence analysis when investigating Mendelian diseases presenting in early childhood. Human Genetics and Genomics Advances. 3(3). 100113–100113. 10 indexed citations
8.
Tsompanidis, Alex, Ezra Aydin, Gareth Richards, et al.. (2021). Maternal steroid levels and the autistic traits of the mother and infant. Molecular Autism. 12(1). 51–51. 16 indexed citations
9.
Hebden, Jeremy C., et al.. (2020). Sleep State Modulates Resting-State Functional Connectivity in Neonates. Frontiers in Neuroscience. 14. 347–347. 21 indexed citations
10.
Aydin, Ezra, Rosemary Holt, Carrie Allison, et al.. (2019). Fetal anogenital distance using ultrasound. Prenatal Diagnosis. 39(7). 527–535. 19 indexed citations
11.
Rhee, Christopher J., Cristine Sortica da Costa, Topun Austin, et al.. (2018). Neonatal cerebrovascular autoregulation. Pediatric Research. 84(5). 602–610. 116 indexed citations
12.
Boode, Willem P. de, Robin van der Lee, Beate Horsberg Eriksen, et al.. (2018). The role of Neonatologist Performed Echocardiography in the assessment and management of neonatal shock. Pediatric Research. 84(S1). 57–67. 76 indexed citations
13.
Kooi, Elisabeth M. W., Elise A. Verhagen, Jan Willem J. Elting, et al.. (2017). Measuring cerebrovascular autoregulation in preterm infants using near-infrared spectroscopy: an overview of the literature. Expert Review of Neurotherapeutics. 17(8). 801–818. 55 indexed citations
14.
Arthurs, Owen J., Andrea Edwards, Topun Austin, Martin J. Graves, & David J. Lomas. (2012). The challenges of neonatal magnetic resonance imaging. Pediatric Radiology. 42(10). 1183–1194. 35 indexed citations
15.
Squier, Waney, Topun Austin, Philip Anslow, & Roy O. Weller. (2011). Infant subcortical cystic leucomalacia: A distinct pathological entity resulting from impaired fluid handling. Early Human Development. 87(6). 421–426. 6 indexed citations
16.
Cooper, Robert J., Jeremy C. Hebden, Helen O’Reilly, et al.. (2011). Transient haemodynamic events in neurologically compromised infants: A simultaneous EEG and diffuse optical imaging study. NeuroImage. 55(4). 1610–1616. 34 indexed citations
17.
Austin, Topun, et al.. (2011). Could routine cardiotocography reduce long term cognitive impairment?. BMJ. 342(may31 1). d3120–d3120. 3 indexed citations
18.
Pichler, Gerhard, Martin Wolf, Claudia Roll, et al.. (2008). Recommendations to Increase the Validity and Comparability of Peripheral Measurements by Near Infrared Spectroscopy in Neonates. Neonatology. 94(4). 320–322. 28 indexed citations
19.
Gibson, Adam, et al.. (2006). Three-dimensional whole-head optical passive motor evoked responses in the tomography of neonate. UCL Discovery (University College London). 5 indexed citations
20.
Austin, Topun, Adam Gibson, Rozarina Md. Yusof, et al.. (2006). Three dimensional optical imaging of blood volume and oxygenation in the neonatal brain. NeuroImage. 31(4). 1426–1433. 67 indexed citations

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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