Xiaoman Yang
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Regulation of Appetite and Obesity
Papers in
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- Gut microbiota and health 4
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- Neuroscience and Neuropharmacology Research 8
- Nerve injury and regeneration 7
- Co-authors
- Gil Atzmon (6 shared papers)Nir Barzilai (6 shared papers)Xiaohui Ma (5 shared papers)Radhika Muzumdar (5 shared papers)Lei Shi (4 shared papers)Daji Guo (4 shared papers)Patricia Vuguin (2 shared papers)Xuebing Cao (19 shared papers)
- Journals
- Frontiers in Aging Neuroscience (3 papers)The FASEB Journal (2 papers)Proceedings of the National Academy of Sciences (2 papers)Antibiotics (2 papers)Behavioural Brain Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoman Yang
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Aging 96
- Endocrine and Autonomic Systems 106
- Physiology 273
- Neurology 86
- Cellular and Molecular Neuroscience 138
Countries citing papers authored by Xiaoman Yang
This map shows the geographic impact of Xiaoman Yang'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 Xiaoman Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoman Yang more than expected).
Fields of papers citing papers by Xiaoman Yang
This network shows the impact of papers produced by Xiaoman Yang. 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 Xiaoman Yang. The network helps show where Xiaoman Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoman Yang, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 173 | |
| 2 | 2011 | 125 | |
| 3 | 2019 | 72 | |
| 4 | 2006 | 67 | |
| 5 | 2004 | 66 | |
| 6 | 2006 | 58 | |
| 7 | 2003 | 54 | |
| 8 | 2020 | 41 | |
| 9 | 2021 | 38 | |
| 10 | 2014 | 38 | |
| 11 | 2019 | 31 | |
| 12 | 2020 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2018 | 23 | |
| 15 | 2009 | 22 | |
| 16 | 2022 | 20 | |
| 17 | 2023 | 20 | |
| 18 | 2023 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2022 | 16 |
About Xiaoman Yang
Xiaoman Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Endocrinology and Physiology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neuroscience and Neuropharmacology Research (8 papers), Vibrio bacteria research studies (7 papers), Nerve injury and regeneration (7 papers), Neurological disorders and treatments (6 papers), Regulation of Appetite and Obesity (5 papers), Gut microbiota and health (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Aging (96 citations), Endocrine and Autonomic Systems (106 citations), Physiology (273 citations), Neurology (86 citations) and Cellular and Molecular Neuroscience (138 citations). Xiaoman Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gil Atzmon, Nir Barzilai, Xiaohui Ma, Radhika Muzumdar, Lei Shi, Daji Guo, Patricia Vuguin, Xuebing Cao, Francine Einstein and Sigal Fishman. Their work appears in journals such as Frontiers in Aging Neuroscience, The FASEB Journal, Proceedings of the National Academy of Sciences, Antibiotics and Behavioural Brain Research.
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.