Ya-Pi Lu
Impact in
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- Erythrocyte Function and Pathophysiology
- Telomeres, Telomerase, and Senescence
Papers in
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- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 2
- Oncology 3
- Cancer Risks and Factors 1
- Co-authors
- Jianlin Ren (6 shared papers)Jin‐Shui Pan (2 shared papers)Peiqing Sun (1 shared paper)Yunpeng Liu (1 shared paper)Chuanxing Xiao (1 shared paper)Jiankun Huang (1 shared paper)Xiaoning Yang (1 shared paper)Jingjing Liu (1 shared paper)
In The Last Decade
Ya-Pi Lu
13 papers receiving 238 citations
Peers
Comparison fields: 5 of 73
- Physiology 116
- Aging 4
- Sensory Systems 10
- Biophysics 10
- Cell Biology 27
Countries citing papers authored by Ya-Pi Lu
This map shows the geographic impact of Ya-Pi Lu'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 Ya-Pi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Pi Lu more than expected).
Fields of papers citing papers by Ya-Pi Lu
This network shows the impact of papers produced by Ya-Pi Lu. 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 Ya-Pi Lu. The network helps show where Ya-Pi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya-Pi Lu, 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 | 2008 | 114 | |
| 2 | 2014 | 91 | |
| 3 | 2020 | 7 | |
| 4 | 2021 | 6 | |
| 5 | Prospective study of a new serological test (ASSURE TB Rapid Test) for the diagnosis of pulmonary tuberculosis. | 2006 | 5 |
| 6 | Expression of p53 gene in oral squamous cell carcinoma and its relation with clinical and pathological parameters and prognosis of patients. | 1995 | 5 |
| 7 | [Screening of hepatocyte proteins binding to whole S protein of hepatitis B virus by yeast two-hybrid system]. | 2008 | 3 |
| 8 | 2017 | 3 | |
| 9 | 2014 | 2 | |
| 10 | 2010 | 1 | |
| 11 | [Association of trefoil factor 1 expression with gastric mucosa injuries and gastric cancer]. | 2005 | 1 |
| 12 | 2022 | 1 | |
| 13 | 2004 | 1 |
About Ya-Pi Lu
Ya-Pi Lu is a scholar working on Epidemiology, Oncology, Physiology, Hepatology and Infectious Diseases, having authored 13 papers that have together received 240 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Hepatitis C virus research (2 papers), Head and Neck Cancer Studies (1 paper), NF-κB Signaling Pathways (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Physiology (116 citations), Aging (4 citations), Sensory Systems (10 citations), Biophysics (10 citations) and Cell Biology (27 citations). Ya-Pi Lu has collaborated with scholars based in China, Singapore and Taiwan. Frequent co-authors include Jianlin Ren, Jin‐Shui Pan, Peiqing Sun, Yunpeng Liu, Chuanxing Xiao, Jiankun Huang, Xiaoning Yang, Jingjing Liu, Amarsanaa Jazag and Bayasi Guleng. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Annals of Oncology, Digestive Diseases and Sciences, Cellular Signalling and Japanese Journal of Infectious Diseases.
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.