Sean All
Impact in
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- Circadian rhythm and melatonin
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- Brain Metastases and Treatment 6
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- Circadian rhythm and melatonin 8
- Co-authors
- Kit‐Yan Cheng (9 shared papers)Jacob Richards (9 shared papers)Michelle L. Gumz (8 shared papers)Lauren A. Jeffers (4 shared papers)Charles S. Wingo (2 shared papers)Syed J. Khundmiri (1 shared paper)Kristen Solocinski (1 shared paper)Robert S. Hoover (1 shared paper)
- Journals
- Life Sciences (2 papers)American Journal of Physiology-Renal Physiology (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)The FASEB Journal (2 papers)Neuro-Oncology (2 papers)
- Partner nations
- United StatesPoland
In The Last Decade
Sean All
19 papers receiving 351 citations
Peers
Comparison fields: 5 of 51
- Endocrine and Autonomic Systems 206
- Aging 22
- Physiology 96
- Pediatrics, Perinatology and Child Health 58
- Endocrinology, Diabetes and Metabolism 42
Countries citing papers authored by Sean All
This map shows the geographic impact of Sean All'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 Sean All with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean All more than expected).
Fields of papers citing papers by Sean All
This network shows the impact of papers produced by Sean All. 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 Sean All. The network helps show where Sean All may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean All, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 63 | |
| 2 | 2014 | 62 | |
| 3 | 2013 | 54 | |
| 4 | 2014 | 38 | |
| 5 | 2013 | 35 | |
| 6 | 2013 | 29 | |
| 7 | 2018 | 23 | |
| 8 | 2016 | 18 | |
| 9 | 2021 | 14 | |
| 10 | 2017 | 8 | |
| 11 | 2017 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2013 | 1 |
About Sean All
Sean All is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems, Genetics, Molecular Biology and Oncology, having authored 21 papers that have together received 355 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (8 papers), Brain Metastases and Treatment (6 papers), Glioma Diagnosis and Treatment (4 papers), Ion Transport and Channel Regulation (3 papers), Advanced Radiotherapy Techniques (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (206 citations), Aging (22 citations), Physiology (96 citations), Pediatrics, Perinatology and Child Health (58 citations) and Endocrinology, Diabetes and Metabolism (42 citations). Sean All has collaborated with scholars based in United States and Poland. Frequent co-authors include Kit‐Yan Cheng, Jacob Richards, Michelle L. Gumz, Lauren A. Jeffers, Charles S. Wingo, Syed J. Khundmiri, Kristen Solocinski, Robert S. Hoover, Benjamin Ko and I. Jeanette Lynch. Their work appears in journals such as Life Sciences, American Journal of Physiology-Renal Physiology, International Journal of Radiation Oncology*Biology*Physics, The FASEB Journal and Neuro-Oncology.
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.