Jason Chan
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 9
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 3
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- Nerve injury and regeneration 3
- Neuroscience and Neuropharmacology Research 2
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin 7
- Behavioral Neuroscience top 10%
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- Sphingolipid Metabolism and Signaling 5
- Lipid Membrane Structure and Behavior 3
- Gut microbiota and health 3
- Co-authors
- Derek SieburthMaribel RiosGermán CalderónJoshua CordeiraLakshmanan K. IyerThaddeus J. UngerJohn ByrnesZhitao Hu
- Partner nations
- United StatesItalyCanada
In The Last Decade
Jason Chan
20 papers receiving 735 citations
Peers
Comparison fields: 5 of 101
- Aging 103
- Developmental Neuroscience 168
- Cellular and Molecular Neuroscience 272
- Endocrine and Autonomic Systems 75
- Behavioral Neuroscience 32
Countries citing papers authored by Jason Chan
This map shows the geographic impact of Jason Chan'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 Jason Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Chan more than expected).
Fields of papers citing papers by Jason Chan
This network shows the impact of papers produced by Jason Chan. 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 Jason Chan. The network helps show where Jason Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason Chan, 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 | 2023 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 8 | |
| 4 | 2021 | 1 | |
| 5 | 2019 | 28 | |
| 6 | 2019 | 1 | |
| 7 | Analysis of Student Attitudes of a Neurobiology Themed Inquiry Based Research Experience in First Year Biology Labs. | 2018 | 2 |
| 8 | 2017 | 17 | |
| 9 | 2017 | 4 | |
| 10 | 2014 | 87 | |
| 11 | 2013 | 54 | |
| 12 | 2013 | 102 | |
| 13 | 2013 | 17 | |
| 14 | 2013 | 59 | |
| 15 | 2012 | 59 | |
| 16 | 2012 | 32 | |
| 17 | 2011 | 17 | |
| 18 | 2008 | 130 | |
| 19 | 2006 | 95 | |
| 20 | 1969 | 30 |
About Jason Chan
Jason Chan is a scholar working on Aging, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 20 papers that have together received 747 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Circadian rhythm and melatonin (7 papers), Sphingolipid Metabolism and Signaling (5 papers), Lipid Membrane Structure and Behavior (3 papers), Nerve injury and regeneration (3 papers), Gut microbiota and health (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Aging (103 citations), Developmental Neuroscience (168 citations) and Cellular and Molecular Neuroscience (272 citations). Jason Chan has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Derek Sieburth, Maribel Rios, Germán Calderón, Joshua Cordeira, Lakshmanan K. Iyer, Thaddeus J. Unger, John Byrnes, Zhitao Hu, Ralph Hultgren and Han Wang. Their work appears in journals such as Journal of Neuroscience, The FASEB Journal, Scientific Reports, Aging and Current Biology.
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.