Shengzhang Lin
- Toxicology top 5%
- Oncology top 5%
- Hepatology top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Immunology top 10%
- Immune Cell Function and Interaction 3
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- Phytochemistry and biological activity of medicinal plants 7
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- IgG4-Related and Inflammatory Diseases 3
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- Hepatitis B Virus Studies 3
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- RNA modifications and cancer 3
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- Gastrointestinal disorders and treatments 2
- Co-authors
- Shusen ZhengJiacheng HuangDalong WanLin ZhouYiting QiaoLele ZhangZhaohong WangKangjie Chen
- Cited by
- ToxicologyOncologyHepatology
- Partner nations
- ChinaUnited StatesMadagascar
In The Last Decade
Shengzhang Lin
33 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Toxicology 65
- Oncology 499
- Hepatology 135
- Cancer Research 254
- Immunology 354
Countries citing papers authored by Shengzhang Lin
This map shows the geographic impact of Shengzhang Lin'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 Shengzhang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengzhang Lin more than expected).
Fields of papers citing papers by Shengzhang Lin
This network shows the impact of papers produced by Shengzhang Lin. 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 Shengzhang Lin. The network helps show where Shengzhang Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shengzhang Lin, 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 | 2025 | 2 | |
| 2 | 2024 | 9 | |
| 3 | A six-miRNA signature as a novel biomarker for improving prediction of prognosis and patterns of immune infiltration in hepatocellular carcinoma. | 2022 | 3 |
| 4 | Extracellular matrix and its therapeutic potential for cancer treatmentbreakdown → | 2021 | 580 |
| 5 | 2021 | 5 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 30 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 2 | |
| 11 | 2017 | 6 | |
| 12 | 2016 | 4 | |
| 13 | 2013 | 41 | |
| 14 | 2013 | 120 | |
| 15 | 2012 | 70 | |
| 16 | 2012 | 20 | |
| 17 | 2011 | 20 | |
| 18 | 2011 | 204 | |
| 19 | 2011 | 42 | |
| 20 | [Effect of emodin on rejection of liver transplantation in rats]. | 2009 | 2 |
About Shengzhang Lin
Shengzhang Lin is a scholar working on Hepatology, Cancer Research, Oncology, Toxicology and Immunology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Phytochemistry and biological activity of medicinal plants (7 papers), Cancer-related molecular mechanisms research (4 papers), IgG4-Related and Inflammatory Diseases (3 papers), MicroRNA in disease regulation (3 papers), Hepatitis B Virus Studies (3 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Toxicology (65 citations), Oncology (499 citations), Hepatology (135 citations), Cancer Research (254 citations) and Immunology (354 citations). Shengzhang Lin has collaborated with scholars based in China, United States and Madagascar. Frequent co-authors include Shusen Zheng, Jiacheng Huang, Dalong Wan, Lin Zhou, Yiting Qiao, Lele Zhang, Zhaohong Wang, Kangjie Chen, Weitian Wei and DIAN-LEI LIU. Their work appears in journals such as Medicine, PLoS ONE, International Journal of Oncology, Phytomedicine and Frontiers in Oncology.
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.