Linsen Ye

33 papers receiving 723 citations

Peers

Linsen Ye
Comparison fields: 5 of 73
  • Hepatology 106
  • Cancer Research 197
  • Immunology 266
  • Genetics 99
  • Oncology 207
Replace Christelle Guyot with:
Christelle Guyot Switzerland
Minsuk Kwon South Korea
Zhiyong Du China
Xiaolei Shi China
Yoka H. Kusumanto Netherlands
Vasiliki Bitsika Greece
Andrew J. Robson United Kingdom
Alexandru‐Emil Matei Germany
Piera Filomena Fiore Italy
Linsen Ye relative to Christelle Guyot Switzerland Christelle Guyot's profile →
Citations per field
00.5×10×12.5×
Christelle Guyot · 1×
Citations per year

Countries citing papers authored by Linsen Ye

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Linsen Ye Line = papers co-authored together Linsen Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018242
2 2016118
3 202341
4 202240
5 201935
6 201931
7 202122
8 201922
9 202216
10
Prognostic value of combined preoperative gamma-glutamyl transpeptidase to platelet ratio and fibrinogen in patients with HBV-related hepatocellular carcinoma after hepatectomy.
202016
11 202114
12 202114
13 202112
14 202112
15 202112
16 202112
17 20218
18 20188
19 20218
20 20247

About Linsen Ye

Linsen Ye is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Hepatology, having authored 37 papers that have together received 728 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer, Lipids, and Metabolism (5 papers), MicroRNA in disease regulation (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), Ferroptosis and cancer prognosis (4 papers) and Advanced materials and composites (3 papers). The work is most often cited by research in Hepatology (106 citations), Cancer Research (197 citations), Immunology (266 citations), Genetics (99 citations) and Oncology (207 citations). Linsen Ye has collaborated with scholars based in China, Nigeria and United States. Frequent co-authors include Guihua Chen, Qi Zhang, Yinan Deng, Guoying Wang, Xiaolong Chen, Yingjiao Cao, Mengchen Shi, Yusheng Cheng, Tong Zhang and Yang Yang. Their work appears in journals such as Annals of Translational Medicine, Liver Research, Journal for ImmunoTherapy of Cancer, Scientific Reports and International Journal of Refractory Metals and Hard Materials.

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.

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