John Barks

105 papers receiving 3.7k citations

Peers

John Barks
Comparison fields: 5 of 112
  • Pediatrics, Perinatology and Child Health 2.3k
  • Developmental Neuroscience 351
  • Endocrine and Autonomic Systems 454
  • Neurology 338
  • Critical Care and Intensive Care Medicine 180
Replace Frances J. Northington with:
Frances J. Northington United States
Ursula Felderhoff‐Mueser Germany
Ernest M. Graham United States
Ibolja Černak United States
Ansgar M. Brambrink United States
Guido Wassink New Zealand
Anish Bhardwaj United States
Daniel H. Lowenstein United States
Lauren L. Jantzie United States
Douglas D. Fraser Canada
John Barks relative to Frances J. Northington United States Frances J. Northington's profile →
Citations per field
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Frances J. Northington · 1×
Citations per year

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-authors

The 25 scholars most cited alongside John Barks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Barks Line = papers co-authored together John Barks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011157
2 1999156
3 1997147
4 2004143
5 2007137
6 1988135
7 2001111
8 2002109
9 1991107
10 2002106
11 199297
12 200495
13 201684
14 201077
15 201571
16 199667
17 198864
18 199664
19 198762
20 199360

About John Barks

John Barks is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems, Neurology and Developmental Neuroscience, having authored 110 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (71 papers), Neonatal Respiratory Health Research (28 papers), Neuroscience of respiration and sleep (15 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Anesthesia and Neurotoxicity Research (9 papers), Cardiac Arrest and Resuscitation (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (2.3k citations), Developmental Neuroscience (351 citations), Endocrine and Autonomic Systems (454 citations), Neurology (338 citations) and Critical Care and Intensive Care Medicine (180 citations). John Barks has collaborated with scholars based in United States, Canada and Armenia. Frequent co-authors include Faye S. Silverstein, Subrata Sarkar, Steven M. Donn, Yiqing Liu, Jennifer L. Grow, Robert P. Skoff, Michael V. Johnston, Renée A. Shellhaas, Ursula I. Tuor and Martin Post. Their work appears in journals such as Pediatric Research, PEDIATRICS, Journal of Perinatology, Clinics in Perinatology 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.

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