Baoling Lu
Impact in
- Biochemistry top 10%
- Sulfur Compounds in Biology
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Hepatocellular Carcinoma Treatment and Prognosis 2
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- Pharmacogenetics and Drug Metabolism 1
- Co-authors
- Liying Zhu (2 shared papers)Lei Yu (4 shared papers)Yuanyuan Wang (1 shared paper)Wen Wang (1 shared paper)Yu Cheng (1 shared paper)Lei Sun (2 shared papers)Xuejun Gong (1 shared paper)Hong Wei Yao (1 shared paper)
- Journals
- Journal of Cellular and Molecular Medicine (2 papers)Biochemical and Biophysical Research Communications (1 paper)Microbial Pathogenesis (1 paper)Molecular Biology Reports (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Baoling Lu
8 papers receiving 242 citations
Peers
Comparison fields: 5 of 32
- Biochemistry 31
- Cancer Research 47
- Molecular Biology 128
- Pharmacology 16
- Hepatology 14
Countries citing papers authored by Baoling Lu
This map shows the geographic impact of Baoling 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 Baoling Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoling Lu more than expected).
Fields of papers citing papers by Baoling Lu
This network shows the impact of papers produced by Baoling 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 Baoling Lu. The network helps show where Baoling Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoling 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 | 2018 | 92 | |
| 2 | 2015 | 44 | |
| 3 | 2021 | 28 | |
| 4 | 2020 | 26 | |
| 5 | 2012 | 25 | |
| 6 | 2018 | 23 | |
| 7 | Effects of radiofrequency ablation combined with transarterial chemoembolization and antiviral therapy on the prognosis and quality of life in primary chronic HBV-related liver cancer. | 2020 | 5 |
| 8 | Apoptosis of hepatocarcinoma cells Hepg2 induced by Huaier extract through regulation of HBx and CEACAM1 gene expression.. | 2019 | 3 |
About Baoling Lu
Baoling Lu is a scholar working on Hepatology, Pharmacology, Biochemistry, Molecular Biology and Complementary and alternative medicine, having authored 8 papers that have together received 246 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Sulfur Compounds in Biology (1 paper), Medicinal Plant Research (1 paper), Circular RNAs in diseases (1 paper), Medical Research and Treatments (1 paper), Lipid metabolism and biosynthesis (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Biochemistry (31 citations), Cancer Research (47 citations), Molecular Biology (128 citations), Pharmacology (16 citations) and Hepatology (14 citations). Baoling Lu has collaborated with scholars based in China and United States. Frequent co-authors include Liying Zhu, Lei Yu, Yuanyuan Wang, Wen Wang, Yu Cheng, Lei Sun, Xuejun Gong, Hong Wei Yao, Lìyǐng Zhū and Linxue Zhang. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Biochemical and Biophysical Research Communications, Microbial Pathogenesis, Molecular Biology Reports and Oncotarget.
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.