Shannon M. Bailey
- Biochemistry top 0.5%
- Eicosanoids and Hypertension Pharmacology 13
- Pathology and Forensic Medicine top 0.5%
- Alcohol Consumption and Health Effects 33
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- Circadian rhythm and melatonin 10
- Physiology top 1%
- Adipose Tissue and Metabolism 14
- Diet and metabolism studies 7
- Aging top 2%
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- Mitochondrial Function and Pathology 21
- Metabolomics and Mass Spectrometry Studies 10
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- Liver Disease Diagnosis and Treatment 19
- Co-authors
- Carol CunninghamVictor Darley‐UsmarKelly K. AndringaAdrienne L. KingSudheer K. MantenaHeather B. EcclestonAimee LandarUduak S. Udoh
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Shannon M. Bailey
85 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 135
- Biochemistry 740
- Pathology and Forensic Medicine 1.4k
- Endocrine and Autonomic Systems 498
- Physiology 1.4k
- Aging 90
Countries citing papers authored by Shannon M. Bailey
This map shows the geographic impact of Shannon M. 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 Shannon M. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon M. Bailey more than expected).
Fields of papers citing papers by Shannon M. Bailey
This network shows the impact of papers produced by Shannon M. 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 Shannon M. Bailey. The network helps show where Shannon M. Bailey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shannon M. Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2023 | 42 | |
| 3 | 2022 | 39 | |
| 4 | 2020 | 81 | |
| 5 | 2020 | 41 | |
| 6 | 2020 | 76 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 11 | |
| 9 | 2016 | 36 | |
| 10 | 2013 | 4 | |
| 11 | 2011 | 54 | |
| 12 | 2010 | 152 | |
| 13 | 2010 | 24 | |
| 14 | 2010 | 233 | |
| 15 | 2008 | 41 | |
| 16 | 2006 | 90 | |
| 17 | 2004 | 142 | |
| 18 | 2004 | 90 | |
| 19 | 2001 | 97 | |
| 20 | 2000 | 23 |
About Shannon M. Bailey
Shannon M. Bailey is a scholar working on Biochemistry, Endocrine and Autonomic Systems and Pathology and Forensic Medicine, having authored 87 papers that have together received 5.3k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (33 papers), Mitochondrial Function and Pathology (21 papers), Liver Disease Diagnosis and Treatment (19 papers), Adipose Tissue and Metabolism (14 papers), Eicosanoids and Hypertension Pharmacology (13 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Circadian rhythm and melatonin (10 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Biochemistry (740 citations), Pathology and Forensic Medicine (1.4k citations) and Endocrine and Autonomic Systems (498 citations). Shannon M. Bailey has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Carol Cunningham, Victor Darley‐Usmar, Kelly K. Andringa, Adrienne L. King, Sudheer K. Mantena, Heather B. Eccleston, Aimee Landar, Uduak S. Udoh, Martin E. Young and Tracey Young. Their work appears in journals such as Nature, Cell and The Lancet.
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.