Hua Yi
Impact in
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- Peroxisome Proliferator-Activated Receptors
- Metabolism, Diabetes, and Cancer
- Retinoids in leukemia and cellular processes
- Glycosylation and Glycoproteins Research
- Biochemistry top 10%
Papers in
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- Metabolism, Diabetes, and Cancer 2
- Glycosylation and Glycoproteins Research 2
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- Immune Cell Function and Interaction 1
- Galectins and Cancer Biology 1
- Co-authors
- O. Wesley McBride (8 shared papers)Frank J. Gonzalez (1 shared paper)Talia Sher (1 shared paper)Ilona Kovalszky (2 shared papers)George R. Dodge (2 shared papers)Renato V. Iozzo (2 shared papers)M. L. Chu (2 shared papers)John R. Hassell (1 shared paper)
- Journals
- Genomics (4 papers)Cytogenetic and Genome Research (3 papers)Biochemistry (1 paper)Haematologica (1 paper)JOURNAL OF FISHERIES OF CHINA (1 paper)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Hua Yi
11 papers receiving 611 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 522
- Biochemistry 46
- Cancer Research 94
- Physiology 142
- Immunology and Allergy 29
Countries citing papers authored by Hua Yi
This map shows the geographic impact of Hua Yi'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 Hua Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Yi more than expected).
Fields of papers citing papers by Hua Yi
This network shows the impact of papers produced by Hua Yi. 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 Hua Yi. The network helps show where Hua Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 443 | |
| 2 | 1991 | 48 | |
| 3 | 1994 | 32 | |
| 4 | 2014 | 32 | |
| 5 | 1991 | 30 | |
| 6 | 1992 | 18 | |
| 7 | 1994 | 12 | |
| 8 | 1991 | 3 | |
| 9 | EFFECTS OF DIFFERENT NUTRITIONAL STATUS ON EXPRESSION OF IGF-I mRNA IN IMMATURE COMMON CARP LIVER | 2001 | 2 |
| 10 | 1994 | 2 | |
| 11 | PROCEEDING OF STUDIES ON INSULIN-LIKE GROWTH FACTOR-I(IGF-I)in FISHES | 1997 | 1 |
About Hua Yi
Hua Yi is a scholar working on Molecular Biology, Immunology, Cell Biology, Oncology and Surgery, having authored 11 papers that have together received 623 indexed citations. Recurring topics across this work include Cellular transport and secretion (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Glycosylation and Glycoproteins Research (2 papers), Neuroblastoma Research and Treatments (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Immune Cell Function and Interaction (1 paper), Galectins and Cancer Biology (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Molecular Biology (522 citations), Biochemistry (46 citations), Cancer Research (94 citations), Physiology (142 citations) and Immunology and Allergy (29 citations). Hua Yi has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include O. Wesley McBride, Frank J. Gonzalez, Talia Sher, Ilona Kovalszky, George R. Dodge, Renato V. Iozzo, M. L. Chu, John R. Hassell, Helene Hilfiker and Ernesto Carafoli. Their work appears in journals such as Genomics, Cytogenetic and Genome Research, Biochemistry, Haematologica and JOURNAL OF FISHERIES OF CHINA.
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.