Run Xiao
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Epigenetics and DNA Methylation 2
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- Immune Cell Function and Interaction 6
- Co-authors
- Lei Cao (14 shared papers)Wei Huang (12 shared papers)Xianglan Liu (7 shared papers)Travis McMurphy (5 shared papers)Nicholas J. Queen (9 shared papers)Michael A. Caligiuri (7 shared papers)Jason J. Siu (3 shared papers)Anthony G. Mansour (6 shared papers)
- Journals
- Brain Behavior and Immunity (2 papers)Molecular Therapy (2 papers)iScience (1 paper)PLoS ONE (1 paper)Blood (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Run Xiao
17 papers receiving 419 citations
Peers
Comparison fields: 5 of 69
- Behavioral Neuroscience 36
- Developmental Neuroscience 32
- Endocrine and Autonomic Systems 38
- Biological Psychiatry 11
- Neurology 34
Countries citing papers authored by Run Xiao
This map shows the geographic impact of Run Xiao'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 Run Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Xiao more than expected).
Fields of papers citing papers by Run Xiao
This network shows the impact of papers produced by Run Xiao. 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 Run Xiao. The network helps show where Run Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Run Xiao, 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 | 2016 | 52 | |
| 2 | 2014 | 43 | |
| 3 | 2018 | 43 | |
| 4 | 2010 | 37 | |
| 5 | 2018 | 34 | |
| 6 | 2018 | 33 | |
| 7 | 2016 | 32 | |
| 8 | 2014 | 27 | |
| 9 | 2019 | 27 | |
| 10 | 2012 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2021 | 16 | |
| 13 | 2023 | 15 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 4 | |
| 17 | 2016 | 1 |
About Run Xiao
Run Xiao is a scholar working on Molecular Biology, Immunology, Physiology, Epidemiology and Psychiatry and Mental health, having authored 17 papers that have together received 425 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Adipose Tissue and Metabolism (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Behavioral Neuroscience (36 citations), Developmental Neuroscience (32 citations), Endocrine and Autonomic Systems (38 citations), Biological Psychiatry (11 citations) and Neurology (34 citations). Run Xiao has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Lei Cao, Wei Huang, Xianglan Liu, Travis McMurphy, Nicholas J. Queen, Michael A. Caligiuri, Jason J. Siu, Anthony G. Mansour, Stephen M. Bergin and Sai‐Juan Chen. Their work appears in journals such as Brain Behavior and Immunity, Molecular Therapy, iScience, PLoS ONE and Blood.
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.