Er-Bin Yang
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
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- Beetle Biology and Toxicology Studies
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Genomics, phytochemicals, and oxidative stress 2
- Glutathione Transferases and Polymorphisms 1
- Viral Infectious Diseases and Gene Expression in Insects 1
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- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Kai Zhang (2 shared papers)Peter Mack (6 shared papers)Peter Mack (3 shared papers)Pierce K. H. Chow (3 shared papers)Ji Cao (2 shared papers)Cheng Li (1 shared paper)Kim Ping Wong (1 shared paper)Dongfang Wang (4 shared papers)
In The Last Decade
Er-Bin Yang
15 papers receiving 458 citations
Peers
Comparison fields: 5 of 94
- Biochemistry 48
- Cancer Research 65
- Pharmacology 37
- Toxicology 10
- Pathology and Forensic Medicine 43
Countries citing papers authored by Er-Bin Yang
This map shows the geographic impact of Er-Bin Yang'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 Er-Bin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Er-Bin Yang more than expected).
Fields of papers citing papers by Er-Bin Yang
This network shows the impact of papers produced by Er-Bin Yang. 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 Er-Bin Yang. The network helps show where Er-Bin Yang may publish in the future.
Co-authors
The 20 scholars most cited alongside Er-Bin Yang, 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 | 2003 | 131 | |
| 2 | 1998 | 100 | |
| 3 | 1997 | 82 | |
| 4 | 1997 | 53 | |
| 5 | 1999 | 31 | |
| 6 | 1996 | 29 | |
| 7 | The tree shrews: useful animal models for the viral hepatitis and hepatocellular carcinoma. | 2005 | 15 |
| 8 | 2022 | 13 | |
| 9 | Studies of epidermal growth factor (EGF) receptor in plasma membrane from rat liver and hepatoma tissues. | 1994 | 6 |
| 10 | EGF receptor in human Chang liver and hepatoma HepG2 cells. | 1996 | 5 |
| 11 | 1996 | 3 | |
| 12 | 2001 | 3 | |
| 13 | 2003 | 3 | |
| 14 | 1995 | 1 | |
| 15 | 1994 | 1 |
About Er-Bin Yang
Er-Bin Yang is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Oncology and Immunology, having authored 15 papers that have together received 476 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), HER2/EGFR in Cancer Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Glutathione Transferases and Polymorphisms (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Biochemistry (48 citations), Cancer Research (65 citations), Pharmacology (37 citations), Toxicology (10 citations) and Pathology and Forensic Medicine (43 citations). Er-Bin Yang has collaborated with scholars based in Singapore, China and Canada. Frequent co-authors include Kai Zhang, Peter Mack, Peter Mack, Pierce K. H. Chow, Ji Cao, Cheng Li, Kim Ping Wong, Dongfang Wang, Yuan Zhou and Magdy Hassouna. Their work appears in journals such as Cancer Letters, Biochemical and Biophysical Research Communications, Biochemical Pharmacology, International Journal of Oncology and Journal of Medical Primatology.
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.