Linsen Ye
Impact in
- Hepatology top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Oncology 11
- Cancer Immunotherapy and Biomarkers 7
- Cancer Cells and Metastasis 2
- Immunology 10
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- Guihua Chen (5 shared papers)Qi Zhang (5 shared papers)Yinan Deng (4 shared papers)Guoying Wang (9 shared papers)Xiaolong Chen (4 shared papers)Mengchen Shi (2 shared papers)Yingjiao Cao (4 shared papers)Yusheng Cheng (2 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (3 papers)Liver Research (2 papers)Annals of Translational Medicine (2 papers)Nature Communications (1 paper)Tungsten (1 paper)
- Partner nations
- ChinaUnited StatesNigeria
In The Last Decade
Linsen Ye
36 papers receiving 769 citations
Peers
Comparison fields: 5 of 72
- Hepatology 89
- Cancer Research 171
- Immunology 246
- Genetics 99
- Oncology 178
Countries citing papers authored by Linsen Ye
This map shows the geographic impact of Linsen Ye'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 Linsen Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linsen Ye more than expected).
Fields of papers citing papers by Linsen Ye
This network shows the impact of papers produced by Linsen Ye. 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 Linsen Ye. The network helps show where Linsen Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Linsen Ye, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 249 | |
| 2 | 2016 | 127 | |
| 3 | 2023 | 48 | |
| 4 | 2022 | 42 | |
| 5 | 2019 | 35 | |
| 6 | 2019 | 32 | |
| 7 | 2021 | 24 | |
| 8 | 2019 | 22 | |
| 9 | 2022 | 17 | |
| 10 | Prognostic value of combined preoperative gamma-glutamyl transpeptidase to platelet ratio and fibrinogen in patients with HBV-related hepatocellular carcinoma after hepatectomy. | 2020 | 17 |
| 11 | 2021 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2023 | 8 |
About Linsen Ye
Linsen Ye is a scholar working on Oncology, Immunology, Surgery, Molecular Biology and Hepatology, having authored 39 papers that have together received 774 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Ferroptosis and cancer prognosis (3 papers), Immune Cell Function and Interaction (3 papers), Advanced materials and composites (3 papers), T-cell and B-cell Immunology (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Hepatology (89 citations), Cancer Research (171 citations), Immunology (246 citations), Genetics (99 citations) and Oncology (178 citations). Linsen Ye has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Guihua Chen, Qi Zhang, Yinan Deng, Guoying Wang, Xiaolong Chen, Mengchen Shi, Yingjiao Cao, Yusheng Cheng, Yang Yang and Yang Yang. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Liver Research, Annals of Translational Medicine, Nature Communications and Tungsten.
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.