Yinghan Su
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 1
- Genetics 2
- Virus-based gene therapy research 2
- Co-authors
- Changqing Su (7 shared papers)Lun–Xiu Qin (7 shared papers)Weidan Ji (6 shared papers)Bin Sun (4 shared papers)Xiaoya Li (2 shared papers)Atsushi Ochiai (3 shared papers)Masahiro Tsuboi (3 shared papers)Genichiro Ishii (3 shared papers)
- Journals
- Oncotarget (2 papers)Signal Transduction and Targeted Therapy (2 papers)Cancer Letters (2 papers)Journal for ImmunoTherapy of Cancer (1 paper)Lung Cancer (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Yinghan Su
14 papers receiving 449 citations
Peers
Comparison fields: 5 of 37
- Cancer Research 91
- Hepatology 47
- Oncology 45
- Computational Mathematics 1
- Genetics 38
Countries citing papers authored by Yinghan Su
This map shows the geographic impact of Yinghan 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 Yinghan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinghan Su more than expected).
Fields of papers citing papers by Yinghan Su
This network shows the impact of papers produced by Yinghan 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 Yinghan Su. The network helps show where Yinghan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yinghan 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 | 2022 | 127 | |
| 2 | 2020 | 65 | |
| 3 | 2016 | 41 | |
| 4 | 2013 | 39 | |
| 5 | 2014 | 31 | |
| 6 | 2022 | 28 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2016 | 21 | |
| 10 | 2014 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2020 | 11 | |
| 13 | 2025 | 8 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 0 |
About Yinghan Su
Yinghan Su is a scholar working on Cancer Research, Genetics, Hepatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 15 papers that have together received 455 indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), Cancer-related molecular mechanisms research (2 papers), Medical Imaging Techniques and Applications (1 paper), MicroRNA in disease regulation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), RNA modifications and cancer (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Cancer Research (91 citations), Hepatology (47 citations), Oncology (45 citations), Computational Mathematics (1 citation) and Genetics (38 citations). Yinghan Su has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Changqing Su, Lun–Xiu Qin, Weidan Ji, Bin Sun, Xiaoya Li, Atsushi Ochiai, Masahiro Tsuboi, Genichiro Ishii, Jun Suzuki and Mengchao Wu. Their work appears in journals such as Oncotarget, Signal Transduction and Targeted Therapy, Cancer Letters, Journal for ImmunoTherapy of Cancer and Lung Cancer.
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.