Yu Hai
Impact in
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
Papers in ⓘ
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- Metabolism and Genetic Disorders 2
- Co-authors
- Toyoshi Inoguchi (4 shared papers)Maiko Kakimoto (4 shared papers)Minako Imamura (3 shared papers)Hajime Nawata (2 shared papers)Toshiyo Sonta (2 shared papers)Takashi Etoh (1 shared paper)Toshihiko Hashimoto (1 shared paper)Rita Foti (1 shared paper)
In The Last Decade
Yu Hai
27 papers receiving 571 citations
Peers
Comparison fields: 5 of 88
- Clinical Biochemistry 111
- Nephrology 74
- Neurology 55
- Endocrinology, Diabetes and Metabolism 76
- Physiology 110
Countries citing papers authored by Yu Hai
This map shows the geographic impact of Yu Hai'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 Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Hai more than expected).
Fields of papers citing papers by Yu Hai
This network shows the impact of papers produced by Yu Hai. 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 Hai. The network helps show where Yu Hai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Hai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 184 | |
| 2 | 1997 | 73 | |
| 3 | 2019 | 73 | |
| 4 | 2001 | 48 | |
| 5 | 2001 | 46 | |
| 6 | 2003 | 34 | |
| 7 | 2014 | 32 | |
| 8 | 2016 | 27 | |
| 9 | 1998 | 10 | |
| 10 | 2018 | 9 | |
| 11 | 2013 | 8 | |
| 12 | 2022 | 7 | |
| 13 | [Effect of electroacupuncture stimulation of back-shu points on expression of TNF-alpha and lipid peroxidation reaction in the liver tissue in non-alcoholic fatty liver disease rats]. | 2014 | 7 |
| 14 | 2016 | 6 | |
| 15 | 2015 | 4 | |
| 16 | 2021 | 3 | |
| 17 | Comparison Research of Whole Blood Specimen and Abstracted Lymphocyte in Comet Assay | 2004 | 2 |
| 18 | The placebo-controlled study of type 2 diabetes patients with mild cognitive impairment | 2011 | 2 |
| 19 | MOLECULAR CHARACTERIZATION OF HIGHLY PATHOGENIC PORCINE REPRODUCTIVE AND RESOIRATORY SYNDROME VIRUS(HuN4) AND ITS ATTENUATED STRAIN | 2011 | 2 |
| 20 | [A clinical study on delayed encephalopathy after carbon monoxide poisoning]. | 2002 | 2 |
About Yu Hai
Yu Hai is a scholar working on Complementary and alternative medicine, Clinical Biochemistry, Nephrology, Internal Medicine and Rheumatology, having authored 27 papers that have together received 586 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (2 papers), Virus-based gene therapy research (2 papers), Metabolism and Genetic Disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Electrochemical sensors and biosensors (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Clinical Biochemistry (111 citations), Nephrology (74 citations), Neurology (55 citations), Endocrinology, Diabetes and Metabolism (76 citations) and Physiology (110 citations). Yu Hai has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Toyoshi Inoguchi, Maiko Kakimoto, Minako Imamura, Hajime Nawata, Toshiyo Sonta, Takashi Etoh, Toshihiko Hashimoto, Rita Foti, R. C. Atkins and Hui Y. Lan. Their work appears in journals such as The American Journal of Emergency Medicine, Diabetes, Journal of Zhejiang University SCIENCE B, Current Medicinal Chemistry and Vascular.
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.