Xiao Han
Impact in
- Biological Psychiatry top 2%
- Developmental Neuroscience top 2%
Papers in
-
- Metabolism, Diabetes, and Cancer 16
- FOXO transcription factor regulation 11
- Surgery 74
- Pancreatic function and diabetes 58
- Co-authors
- Yunxia Zhu (51 shared papers)Xiaoai Chang (23 shared papers)Yuguang Shi (10 shared papers)Fang Chen (8 shared papers)Yaqin Zhang (9 shared papers)Yujie Sun (14 shared papers)Hongliang Mei (4 shared papers)Dong‐Ya Zhu (6 shared papers)
- Journals
- Diabetes (11 papers)Biochemical and Biophysical Research Communications (7 papers)PLoS ONE (6 papers)Diabetologia (5 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiao Han
160 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 133
- Biological Psychiatry 165
- Developmental Neuroscience 184
- Cancer Research 619
- Behavioral Neuroscience 145
- Molecular Biology 2.1k
Countries citing papers authored by Xiao Han
This map shows the geographic impact of Xiao Han'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 Xiao Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Han more than expected).
Fields of papers citing papers by Xiao Han
This network shows the impact of papers produced by Xiao Han. 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 Xiao Han. The network helps show where Xiao Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao Han, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 183 | |
| 2 | 2016 | 163 | |
| 3 | 2008 | 127 | |
| 4 | 2007 | 120 | |
| 5 | 2018 | 119 | |
| 6 | 2021 | 98 | |
| 7 | 2001 | 93 | |
| 8 | 2015 | 74 | |
| 9 | 2021 | 74 | |
| 10 | 2010 | 73 | |
| 11 | 2018 | 72 | |
| 12 | 2014 | 71 | |
| 13 | 2007 | 70 | |
| 14 | 2006 | 69 | |
| 15 | 2013 | 67 | |
| 16 | 2011 | 66 | |
| 17 | 2012 | 65 | |
| 18 | 2016 | 63 | |
| 19 | Tetrahydrocurcumin reduces oxidative stress-induced apoptosis via the mitochondrial apoptotic pathway by modulating autophagy in rats after traumatic brain injury. | 2017 | 62 |
| 20 | 2012 | 60 |
About Xiao Han
Xiao Han is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Oncology and Epidemiology, having authored 164 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (58 papers), Metabolism, Diabetes, and Cancer (16 papers), FOXO transcription factor regulation (11 papers), Diabetes and associated disorders (10 papers), Diet, Metabolism, and Disease (10 papers), Adipose Tissue and Metabolism (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). The work is most often cited by research in Biological Psychiatry (165 citations), Developmental Neuroscience (184 citations), Cancer Research (619 citations), Behavioral Neuroscience (145 citations) and Molecular Biology (2.1k citations). Xiao Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yunxia Zhu, Xiaoai Chang, Yuguang Shi, Fang Chen, Yaqin Zhang, Yujie Sun, Hongliang Mei, Dong‐Ya Zhu, David Bleich and Yujie Sun. Their work appears in journals such as Diabetes, Biochemical and Biophysical Research Communications, PLoS ONE, Diabetologia and Scientific Reports.
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.