Yu Hu
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Cancer, Lipids, and Metabolism
Papers in
- Epidemiology 12
- Liver Disease Diagnosis and Treatment 6
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- Gut microbiota and health 2
- Co-authors
- Xin Gao (22 shared papers)Hui Ma (21 shared papers)Huandong Lin (19 shared papers)Jian Gao (18 shared papers)Mingfeng Xia (10 shared papers)Xiaoming Li (9 shared papers)Qiqige Aleteng (5 shared papers)Wanyuan He (14 shared papers)
- Journals
- Atherosclerosis (3 papers)Oncotarget (2 papers)Gerontology (2 papers)European Journal of Epidemiology (2 papers)Aging Clinical and Experimental Research (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yu Hu
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Endocrinology, Diabetes and Metabolism 206
- Cancer Research 135
- Physiology 231
- Biological Psychiatry 20
- Aging 15
Countries citing papers authored by Yu Hu
This map shows the geographic impact of Yu Hu'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 Yu Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Hu more than expected).
Fields of papers citing papers by Yu Hu
This network shows the impact of papers produced by Yu Hu. 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 Yu Hu. The network helps show where Yu Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Hu, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 203 | |
| 2 | 2016 | 173 | |
| 3 | 2015 | 124 | |
| 4 | 2020 | 88 | |
| 5 | 2013 | 75 | |
| 6 | 2010 | 56 | |
| 7 | 2012 | 54 | |
| 8 | 2018 | 52 | |
| 9 | 2014 | 42 | |
| 10 | 2012 | 41 | |
| 11 | 2014 | 40 | |
| 12 | 2020 | 30 | |
| 13 | 2019 | 26 | |
| 14 | 2013 | 21 | |
| 15 | 2017 | 21 | |
| 16 | 2013 | 20 | |
| 17 | 2013 | 20 | |
| 18 | 2019 | 19 | |
| 19 | 2012 | 19 | |
| 20 | 2014 | 18 |
About Yu Hu
Yu Hu is a scholar working on Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Nutrition and Health in Aging (5 papers), Bone health and osteoporosis research (4 papers), Hormonal and reproductive studies (3 papers), Barrier Structure and Function Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Gut microbiota and health (2 papers) and Berberine and alkaloids research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (206 citations), Cancer Research (135 citations), Physiology (231 citations), Biological Psychiatry (20 citations) and Aging (15 citations). Yu Hu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xin Gao, Hui Ma, Huandong Lin, Jian Gao, Mingfeng Xia, Xiaoming Li, Qiqige Aleteng, Wanyuan He, Yan Sun and Xiaoping Zhao. Their work appears in journals such as Atherosclerosis, Oncotarget, Gerontology, European Journal of Epidemiology and Aging Clinical and Experimental 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.