Adrian Bailey

1.4k citations
40 papers · 880 indexed · 1 hit paper · h-index 13

Adrian Bailey

37 papers receiving 851 citations

Hit Papers

YouTube as a source of information on COVID-19: a pandemi...4702020202620222024100200300400

Peers

Adrian Bailey
Comparison fields: 5 of 126
  • Health 192
  • Communication 78
  • Genetics 82
  • Dermatology 64
  • Modeling and Simulation 33
Replace Heidi Oi‐Yee Li with:
Heidi Oi‐Yee Li Canada
Yasmin Jayasinghe Australia
Elena Soto‐Vega Mexico
Jonathan S. Hausmann United States
Judy Truong Canada
Kristen Johnson United States
Ashley Fletcher Australia
Kaori Muto Japan
Declan Bradley United Kingdom
Adrian Bailey relative to Heidi Oi‐Yee Li Canada Heidi Oi‐Yee Li's profile →
Citations per field
00.5×2.8×
Heidi Oi‐Yee Li · 1×
Citations per year

Countries citing papers authored by Adrian Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20233
4 20221
5 202213
6 20220
7 20220
8 202215
9 202213
10 20215
11 20212
12 20219
13 202110
14 202123
15 202113
16 20219
17 202016
18
YouTube as a source of information on COVID-19: a pandemic of misinformation?breakdown →
2020470
19 20203
20
Biochemistry, High Density Lipoprotein
20195

About Adrian Bailey

Adrian Bailey is a scholar working on Dermatology, Genetics and Internal Medicine, having authored 40 papers that have together received 880 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Skin Protection and Aging (5 papers), Extracellular vesicles in disease (5 papers), COVID-19 Clinical Research Studies (4 papers), Hidradenitis Suppurativa and Treatments (4 papers), Colorectal and Anal Carcinomas (4 papers), COVID-19 and healthcare impacts (4 papers) and melanin and skin pigmentation (3 papers). The work is most often cited by research in Health (192 citations), Communication (78 citations) and Genetics (82 citations). Adrian Bailey has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Heidi Oi‐Yee Li, James Chan, David Huynh, David Allan, Risa Shorr, Dean Fergusson, Manoj M. Lalu, Harinad B. Maganti, Marcus G. Tan and Alvin Tieu. Their work appears in journals such as Transplantation and Cellular Therapy, Journal of the American Academy of Dermatology, British Journal of Dermatology, Cytotherapy and Stem Cells Translational Medicine.

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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