John Barks

6.4k total citations
108 papers, 3.7k citations indexed

About

John Barks is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems. According to data from OpenAlex, John Barks has authored 108 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Pediatrics, Perinatology and Child Health, 52 papers in Pulmonary and Respiratory Medicine and 27 papers in Endocrine and Autonomic Systems. Recurrent topics in John Barks's work include Neonatal and fetal brain pathology (80 papers), Neonatal Respiratory Health Research (50 papers) and Neuroscience of respiration and sleep (27 papers). John Barks is often cited by papers focused on Neonatal and fetal brain pathology (80 papers), Neonatal Respiratory Health Research (50 papers) and Neuroscience of respiration and sleep (27 papers). John Barks collaborates with scholars based in United States, Canada and Armenia. John Barks's co-authors include Faye S. Silverstein, Subrata Sarkar, Yiqing Liu, Steven M. Donn, Jennifer L. Grow, Robert P. Skoff, Michael V. Johnston, Renée A. Shellhaas, Ursula I. Tuor and Martin Post and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and PEDIATRICS.

In The Last Decade

John Barks

104 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Barks United States 36 2.3k 1.5k 624 453 390 108 3.7k
Ernest M. Graham United States 26 2.0k 0.9× 967 0.7× 299 0.5× 407 0.9× 300 0.8× 93 3.0k
Frances J. Northington United States 45 3.7k 1.6× 1.6k 1.1× 822 1.3× 1.3k 2.8× 909 2.3× 147 6.1k
Guido Wassink New Zealand 33 2.1k 0.9× 1.3k 0.9× 703 1.1× 243 0.5× 199 0.5× 85 2.7k
Faye S. Silverstein United States 49 3.4k 1.4× 1.1k 0.8× 594 1.0× 1.6k 3.4× 875 2.2× 125 6.7k
Ursula Felderhoff‐Mueser Germany 32 1.4k 0.6× 930 0.6× 152 0.2× 811 1.8× 349 0.9× 101 3.3k
Patrick S. McQuillen United States 36 2.0k 0.9× 1.7k 1.1× 175 0.3× 788 1.7× 289 0.7× 91 4.8k
Frank van Bel Netherlands 32 1.5k 0.6× 1.4k 0.9× 302 0.5× 230 0.5× 267 0.7× 88 3.0k
Ansgar M. Brambrink United States 34 713 0.3× 1.2k 0.8× 155 0.2× 660 1.5× 529 1.4× 117 5.5k
Terje Rootwelt Norway 22 585 0.3× 854 0.6× 509 0.8× 356 0.8× 107 0.3× 64 1.8k
Lauren L. Jantzie United States 29 1.1k 0.5× 401 0.3× 147 0.2× 341 0.8× 332 0.9× 85 2.0k

Countries citing papers authored by John Barks

Since Specialization
Citations

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

Fields of papers citing papers by John Barks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Barks

This figure shows the co-authorship network connecting the top 25 collaborators of John Barks. A scholar is included among the top collaborators of John Barks 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 John Barks. John Barks 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
1.
Barks, John, Hannah C. Glass, Janet S. Soul, et al.. (2022). Feeding and developmental outcomes after neonatal seizures—A prospective observational study. SHILAP Revista de lepidopterología. 1(3). 209–217.
2.
Barks, John, et al.. (2021). Azithromycin reduces inflammation-amplified hypoxic–ischemic brain injury in neonatal rats. Pediatric Research. 92(2). 415–423. 11 indexed citations
3.
Marchlewicz, Elizabeth, Zora Djurić, Mark J. Hoenerhoff, et al.. (2021). Gestational exposure to high fat diets and bisphenol A alters metabolic outcomes in dams and offspring, but produces hepatic steatosis only in dams. Chemosphere. 286(Pt 2). 131645–131645. 9 indexed citations
4.
Barks, John, et al.. (2019). Repurposing azithromycin for neonatal neuroprotection. Pediatric Research. 86(4). 444–451. 27 indexed citations
5.
Church, Joseph T., Megan A. Coughlin, Elena M. Perkins, et al.. (2018). The artificial placenta: Continued lung development during extracorporeal support in a preterm lamb model. Journal of Pediatric Surgery. 53(10). 1896–1903. 33 indexed citations
6.
Plegue, Melissa, et al.. (2015). Phenobarbital and neonatal seizures affect cerebral oxygen metabolism: a near-infrared spectroscopy study. Pediatric Research. 78(1). 91–96. 12 indexed citations
7.
Cole, F. Sessions, John Barks, Robert Boyle, et al.. (2010). NIH consensus development conference: Inhaled nitric oxide therapy for premature infants.. PubMed. 27(5). 1–34. 19 indexed citations
8.
Sarkar, Subrata, John Barks, Indira Bhagat, & Steven M. Donn. (2009). Effects of therapeutic hypothermia on multiorgan dysfunction in asphyxiated newborns: whole-body cooling versus selective head cooling. Journal of Perinatology. 29(8). 558–563. 56 indexed citations
9.
Barks, John, Cyril Engmann, Delia M. Vázquez, et al.. (2008). Hydrocortisone administration for the treatment of refractory hypotension in critically ill newborns. Journal of Perinatology. 28(6). 412–419. 34 indexed citations
10.
Barks, John. (2007). Current controversies in hypothermic neuroprotection. Seminars in Fetal and Neonatal Medicine. 13(1). 30–34. 30 indexed citations
11.
Sarkar, Subrata, John Barks, & Steven M. Donn. (2007). Should amplitude-integrated electroencephalography be used to identify infants suitable for hypothermic neuroprotection?. Journal of Perinatology. 28(2). 117–122. 57 indexed citations
12.
Barks, John, et al.. (2004). Topiramate Extends the Therapeutic Window for Hypothermia-Mediated Neuroprotection After Stroke in Neonatal Rats. Stroke. 35(6). 1460–1465. 127 indexed citations
13.
Grow, Jennifer L. & John Barks. (2002). Pathogenesis of hypoxic-ischemic cerebral injury in the term infant: current concepts. Clinics in Perinatology. 29(4). 585–602. 98 indexed citations
14.
Eun, Baik‐Lin, et al.. (2000). Pentoxifylline Attenuates Hypoxic-Ischemic Brain Injury in Immature Rats. Pediatric Research. 47(1). 73–73. 49 indexed citations
15.
Weiner, Gary M., et al.. (1998). Improving the timing of antibiotic administration to high-risk newborns.. PubMed. 18(3). 230–3. 9 indexed citations
16.
17.
Barks, John, et al.. (1995). gp120, an HIV-1 protein, increases susceptibility to hypoglycemic and ischemic brain injury in perinatal rats. Experimental Neurology. 132(1). 123–133. 47 indexed citations
18.
Forman, Rachel, et al.. (1993). Maternal and neonatal characteristics following exposure to cocaine in Toronto. Reproductive Toxicology. 7(6). 619–622. 18 indexed citations
19.
Barks, John & Faye S. Silverstein. (1992). Excitatory Amino Acids Contribute to the Pathogenesis of Perinatal Hypoxic‐Ischemic Brain Injury. Brain Pathology. 2(3). 235–243. 92 indexed citations
20.
Barks, John, Faye S. Silverstein, Katherine B. Sims, J. Timothy Greenamyre, & Michael V. Johnston. (1988). Glutamate recognition sites in human fetal brain. Neuroscience Letters. 84(2). 131–136. 55 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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