S. Buckley

34 papers receiving 907 citations

Peers

S. Buckley
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 97
  • Pulmonary and Respiratory Medicine 446
  • Genetics 62
  • Cancer Research 83
  • Surgery 219
Replace Janine M. Bekker with:
Janine M. Bekker United States
Michael Cutaia United States
M. Yano Japan
Fumin Lin United States
Mita Das United States
Akylbek Sydykov Germany
Marko Bertog Germany
Ken Masatsugu Japan
L Simonet United States
Hsi Chiao United States
S. Buckley relative to Janine M. Bekker United States Janine M. Bekker's profile →
Citations per field
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Janine M. Bekker · 1×
Citations per year

Countries citing papers authored by S. Buckley

Since Specialization
Citations

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

Fields of papers citing papers by S. Buckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Buckley, 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 S. Buckley Line = papers co-authored together S. Buckley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999109
2 200088
3 200465
4 199653
5
Cytokine response during hyperoxia: sequential production of pulmonary tumor necrosis factor and interleukin-6 in neonatal rats.
200052
6 201049
7 199545
8 199844
9 200237
10 198934
11 200832
12 199632
13 200429
14 198425
15 200123
16 198723
17 199121
18 199721
19 199620
20 199519

About S. Buckley

S. Buckley is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research and Surgery, having authored 34 papers that have together received 957 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (18 papers), Neuroscience and Neuropharmacology Research (6 papers), Respiratory Support and Mechanisms (5 papers), Congenital Diaphragmatic Hernia Studies (5 papers), Neuroscience of respiration and sleep (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cancer-related Molecular Pathways (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (97 citations), Pulmonary and Respiratory Medicine (446 citations), Genetics (62 citations), Cancer Research (83 citations) and Surgery (219 citations). S. Buckley has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David Warburton, David Warburton, Lora W. Barsky, Kathryn D. Anderson, Kenneth I. Weinberg, Kim L. Anderson, Peter R. Dodd, David Warburton, Parviz Minoo and Fanqi Wu. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Applied Physiology, Journal of Pharmacology and Experimental Therapeutics, American Journal of Respiratory Cell and Molecular Biology and Annals of the New York Academy of Sciences.

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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