Xiaorui Su
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Hepatology top 10%
- Liver physiology and pathology
Papers in
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- PI3K/AKT/mTOR signaling in cancer 2
- Epigenetics and DNA Methylation 1
- Fibroblast Growth Factor Research 1
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- Hepatocellular Carcinoma Treatment and Prognosis 3
- Co-authors
- Jianjiang Fu (2 shared papers)Juan Peng (2 shared papers)Qijie Dai (1 shared paper)Ling Deng (1 shared paper)Zhihua Li (1 shared paper)Yaping Li (1 shared paper)You‐Hong Cui (1 shared paper)Xu‐Guang Guo (1 shared paper)
- Journals
- Molecular Biology Reports (1 paper)Dyes and Pigments (1 paper)Food Reviews International (1 paper)Biomedicine & Pharmacotherapy (1 paper)Surgical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaorui Su
11 papers receiving 603 citations
Xiaorui Su's Hit Papers
Peers
Comparison fields: 5 of 78
- Cancer Research 122
- Hepatology 49
- Oncology 136
- Molecular Biology 320
- Pathology and Forensic Medicine 51
Countries citing papers authored by Xiaorui Su
This map shows the geographic impact of Xiaorui Su'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 Xiaorui Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorui Su more than expected).
Fields of papers citing papers by Xiaorui Su
This network shows the impact of papers produced by Xiaorui Su. 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 Xiaorui Su. The network helps show where Xiaorui Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaorui Su, 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 | Role of PI3K/AKT pathway in cancer: the framework of malignant behavior Hit paper breakdown → | 2020 | 413 |
| 2 | 2021 | 157 | |
| 3 | 2015 | 11 | |
| 4 | 2020 | 8 | |
| 5 | 2024 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 3 | |
| 9 | [The evaluation of 128 slice spiral CT for soft palate, hard palate and mandible in patients with obstructive sleep apnea hypopnea syndrom]. | 2015 | 1 |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 |
About Xiaorui Su
Xiaorui Su is a scholar working on Molecular Biology, Hepatology, Infectious Diseases, Genetics and Animal Science and Zoology, having authored 13 papers that have together received 609 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Animal Virus Infections Studies (2 papers), Microbial Inactivation Methods (1 paper), Epigenetics and DNA Methylation (1 paper), Fibroblast Growth Factor Research (1 paper) and Semiconductor materials and devices (1 paper). The work is most often cited by research in Cancer Research (122 citations), Hepatology (49 citations), Oncology (136 citations), Molecular Biology (320 citations) and Pathology and Forensic Medicine (51 citations). Xiaorui Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianjiang Fu, Juan Peng, Qijie Dai, Ling Deng, Zhihua Li, Yaping Li, You‐Hong Cui, Xu‐Guang Guo, Peng Zhang and Xinli Zhang. Their work appears in journals such as Molecular Biology Reports, Dyes and Pigments, Food Reviews International, Biomedicine & Pharmacotherapy and Surgical 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.