James D. S. Aridas

412 total citations
8 papers, 325 citations indexed

About

James D. S. Aridas is a scholar working on Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, James D. S. Aridas has authored 8 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrine and Autonomic Systems, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in James D. S. Aridas's work include Neuroscience of respiration and sleep (5 papers), Neonatal and fetal brain pathology (4 papers) and Neonatal Respiratory Health Research (4 papers). James D. S. Aridas is often cited by papers focused on Neuroscience of respiration and sleep (5 papers), Neonatal and fetal brain pathology (4 papers) and Neonatal Respiratory Health Research (4 papers). James D. S. Aridas collaborates with scholars based in Australia, Singapore and New Zealand. James D. S. Aridas's co-authors include Stephanie Miller, Flora Y. Wong, Graham Jenkin, Graeme R. Polglase, Stuart B. Hooper, Timothy J. M. Moss, Michael Ditchfield, Tamara Yawno, Ilias Nitsos and Euan M. Wallace and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Experimental Neurology.

In The Last Decade

James D. S. Aridas

8 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James D. S. Aridas Australia 6 209 179 109 41 37 8 325
Domenic A. LaRosa Australia 12 184 0.9× 187 1.0× 76 0.7× 56 1.4× 52 1.4× 22 462
Jennifer L. Grow United States 8 88 0.4× 284 1.6× 131 1.2× 13 0.3× 12 0.3× 11 371
Maddalena Incerti Italy 14 97 0.5× 285 1.6× 29 0.3× 59 1.4× 19 0.5× 35 445
Lewis P. Singer United States 10 96 0.5× 39 0.2× 57 0.5× 62 1.5× 22 0.6× 22 307
Joanne Bregman United States 5 172 0.8× 289 1.6× 45 0.4× 36 0.9× 4 0.1× 7 350
J M Davis United States 15 391 1.9× 75 0.4× 203 1.9× 116 2.8× 46 1.2× 32 621
Yalçın Çelik Türkiye 9 87 0.4× 92 0.5× 18 0.2× 53 1.3× 8 0.2× 44 223
Jan M. Loose Australia 10 256 1.2× 402 2.2× 66 0.6× 46 1.1× 2 0.1× 11 493
Kalpashri Kesavan United States 8 98 0.5× 202 1.1× 77 0.7× 14 0.3× 12 0.3× 15 301
J. Homan Canada 14 208 1.0× 371 2.1× 163 1.5× 42 1.0× 26 0.7× 27 487

Countries citing papers authored by James D. S. Aridas

Since Specialization
Citations

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

Fields of papers citing papers by James D. S. Aridas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James D. S. Aridas

This figure shows the co-authorship network connecting the top 25 collaborators of James D. S. Aridas. A scholar is included among the top collaborators of James D. S. Aridas 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 James D. S. Aridas. James D. S. Aridas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
McDonald, Rebecca, et al.. (2022). The kindness COVID-19 toolkit: a mixed-methods evaluation of a programme designed by doctors in training for doctors in training. BMJ Open. 12(11). e060575–e060575. 3 indexed citations
2.
McDonald, Rebecca, et al.. (2022). Evaluating a peer-led wellbeing programme for doctors-in-training during the COVID-19 pandemic in Victoria, Australia, using the Most Significant Change technique. Evaluation Journal of Australasia. 22(2). 90–107. 2 indexed citations
3.
Aridas, James D. S., Tamara Yawno, Amy E. Sutherland, et al.. (2021). Melatonin augments the neuroprotective effects of hypothermia in lambs following perinatal asphyxia. Journal of Pineal Research. 71(1). e12744–e12744. 16 indexed citations
4.
Aridas, James D. S., Tamara Yawno, Amy E. Sutherland, et al.. (2018). Systemic and transdermal melatonin administration prevents neuropathology in response to perinatal asphyxia in newborn lambs. Journal of Pineal Research. 64(4). e12479–e12479. 49 indexed citations
5.
Aridas, James D. S., Courtney McDonald, Madison C. B. Paton, et al.. (2015). Cord blood mononuclear cells prevent neuronal apoptosis in response to perinatal asphyxia in the newborn lamb. The Journal of Physiology. 594(5). 1421–1435. 59 indexed citations
6.
Sobotka, Kristina S., Colin J. Morley, Graeme R. Polglase, et al.. (2014). Circulatory Responses to Asphyxia Differ if the Asphyxia Occurs In Utero or Ex Utero in Near-Term Lambs. PLoS ONE. 9(11). e112264–e112264. 38 indexed citations
7.
Aridas, James D. S., Tamara Yawno, Amy E. Sutherland, et al.. (2014). Detecting brain injury in neonatal hypoxic ischemic encephalopathy: Closing the gap between experimental and clinical research. Experimental Neurology. 261. 281–290. 43 indexed citations
8.
Polglase, Graeme R., Stephanie Miller, Samantha K. Barton, et al.. (2012). Initiation of Resuscitation with High Tidal Volumes Causes Cerebral Hemodynamic Disturbance, Brain Inflammation and Injury in Preterm Lambs. PLoS ONE. 7(6). e39535–e39535. 115 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026