Hui Xiao
Impact in
- Aging top 5%
-
- Regulation of Appetite and Obesity
Papers in
- Oncology 11
- Cytokine Signaling Pathways and Interactions 6
- HER2/EGFR in Cancer Research 3
- Cancer-related Molecular Pathways 3
- Co-authors
- Ilan Gabriely (4 shared papers)Nir Barzilai (4 shared papers)Luciano Rossetti (4 shared papers)Xiao Man Yang (4 shared papers)Gil Atzmon (1 shared paper)Anders H. Berg (1 shared paper)Michael W. Rajala (1 shared paper)Philip M. Scherer (1 shared paper)
- Journals
- PLoS ONE (4 papers)Diabetes (2 papers)Journal of Medicinal Chemistry (2 papers)Frontiers in Neurology (2 papers)Blood (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hui Xiao
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Aging 42
- Endocrine and Autonomic Systems 152
- Physiology 417
- Epidemiology 341
- Endocrinology, Diabetes and Metabolism 144
Countries citing papers authored by Hui Xiao
This map shows the geographic impact of Hui 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 Hui Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Xiao more than expected).
Fields of papers citing papers by Hui Xiao
This network shows the impact of papers produced by Hui 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 Hui Xiao. The network helps show where Hui Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 456 | |
| 2 | 2019 | 139 | |
| 3 | 2014 | 128 | |
| 4 | 2001 | 102 | |
| 5 | 2013 | 73 | |
| 6 | 2002 | 49 | |
| 7 | 2001 | 49 | |
| 8 | 2017 | 36 | |
| 9 | 2006 | 34 | |
| 10 | 2013 | 28 | |
| 11 | 2015 | 17 | |
| 12 | 2013 | 17 | |
| 13 | 2021 | 15 | |
| 14 | 2017 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2016 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2021 | 10 |
About Hui Xiao
Hui Xiao is a scholar working on Oncology, Molecular Biology, Immunology, Epidemiology and Surgery, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Pancreatic function and diabetes (4 papers), Psoriasis: Treatment and Pathogenesis (4 papers), HER2/EGFR in Cancer Research (3 papers), Medicinal Plant Pharmacodynamics Research (3 papers), Cancer-related Molecular Pathways (3 papers), Wound Healing and Treatments (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Aging (42 citations), Endocrine and Autonomic Systems (152 citations), Physiology (417 citations), Epidemiology (341 citations) and Endocrinology, Diabetes and Metabolism (144 citations). Hui Xiao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ilan Gabriely, Nir Barzilai, Luciano Rossetti, Xiao Man Yang, Gil Atzmon, Anders H. Berg, Michael W. Rajala, Philip M. Scherer, Jiayuh Lin and Chenglong Li. Their work appears in journals such as PLoS ONE, Diabetes, Journal of Medicinal Chemistry, Frontiers in Neurology 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.