J. Bailey

40 papers receiving 730 citations

Peers

J. Bailey
Comparison fields: 5 of 105
  • Toxicology 107
  • Immunology and Allergy 85
  • Pharmacology 153
  • Dermatology 55
  • Cellular and Molecular Neuroscience 112
Replace Claudio Acuña‐Castillo with:
Claudio Acuña‐Castillo Chile
Julie A. Smith United Kingdom
R Scholler France
I. Sorrentini Italy
C.J. Pfeiffer United States
A. Bélanger Canada
Tetsuji Miyazaki Japan
Carl J. Pfeiffer United States
J. Ian Mason United Kingdom
Sung Yong Eum United States
J. Bailey relative to Claudio Acuña‐Castillo Chile Claudio Acuña‐Castillo's profile →
Citations per field
00.5×7.9×
Claudio Acuña‐Castillo · 1×
Citations per year

Countries citing papers authored by J. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by J. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198797
2 198795
3 198879
4 199153
5 199348
6 199634
7 199630
8 197828
9 200227
10 199926
11 198625
12 198319
13 199517
14 197417
15 199817
16 199915
17 198415
18 202315
19 199112
20 198012

About J. Bailey

J. Bailey is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Ecology and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 768 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (6 papers), Estrogen and related hormone effects (4 papers), Birth, Development, and Health (4 papers), Vitamin K Research Studies (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), High Altitude and Hypoxia (3 papers), Vanadium and Halogenation Chemistry (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Toxicology (107 citations), Immunology and Allergy (85 citations), Pharmacology (153 citations), Dermatology (55 citations) and Cellular and Molecular Neuroscience (112 citations). J. Bailey has collaborated with scholars based in United States, Canada and United Arab Emirates. Frequent co-authors include William R. Driedzic, William Slikker, Frederick E. Leickly, Robert Enberg, Andrew C. Scallet, Glenn D. Newport, Dennis R. Ownby, J MCCULLOUGH, A.E. Wrathall and Chris Frith. Their work appears in journals such as Canadian Journal of Zoology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics and Atherosclerosis.

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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