Yonghui Su
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 7
- Cancer-related Molecular Pathways 2
- Pancreatic and Hepatic Oncology Research 2
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- Ubiquitin and proteasome pathways 2
- Co-authors
- Chumei Huang (2 shared papers)Linjuan Zeng (2 shared papers)Z. Zhang (1 shared paper)Jian Li (1 shared paper)Jiajia Li (1 shared paper)Hong Su (1 shared paper)Kege Yang (1 shared paper)Guoda Lian (1 shared paper)
- Journals
- Theranostics (2 papers)Cancer Epidemiology (1 paper)Cancer Management and Research (1 paper)Digestive Diseases and Sciences (1 paper)Biomedicine & Pharmacotherapy (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Yonghui Su
18 papers receiving 321 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 59
- Oncology 76
- Psychiatry and Mental health 27
- Immunology 36
- Molecular Biology 121
Countries citing papers authored by Yonghui Su
This map shows the geographic impact of Yonghui 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 Yonghui Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonghui Su more than expected).
Fields of papers citing papers by Yonghui Su
This network shows the impact of papers produced by Yonghui 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 Yonghui Su. The network helps show where Yonghui Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yonghui 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | 2019 | 43 | |
| 3 | 2023 | 39 | |
| 4 | 2020 | 29 | |
| 5 | 2017 | 26 | |
| 6 | 2017 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2015 | 15 | |
| 9 | A new 7-gene survival score assay for pancreatic cancer patient prognosis prediction. | 2021 | 15 |
| 10 | 2018 | 14 | |
| 11 | 2022 | 9 | |
| 12 | 2017 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 2 | |
| 16 | 2012 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Yonghui Su
Yonghui Su is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Pathology and Forensic Medicine, having authored 21 papers that have together received 321 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer-related Molecular Pathways (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Gastric Cancer Management and Outcomes (2 papers), Diet and metabolism studies (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Cancer Research (59 citations), Oncology (76 citations), Psychiatry and Mental health (27 citations), Immunology (36 citations) and Molecular Biology (121 citations). Yonghui Su has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Chumei Huang, Linjuan Zeng, Z. Zhang, Jian Li, Jiajia Li, Hong Su, Kege Yang, Guoda Lian, Yubo Guo and Shaojie Chen. Their work appears in journals such as Theranostics, Cancer Epidemiology, Cancer Management and Research, Digestive Diseases and Sciences and Biomedicine & Pharmacotherapy.
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.