Yuan‐Tong Liu

1.3k total citations · 1 hit paper
18 papers, 894 citations indexed

About

Yuan‐Tong Liu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Yuan‐Tong Liu has authored 18 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Yuan‐Tong Liu's work include Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). Yuan‐Tong Liu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). Yuan‐Tong Liu collaborates with scholars based in China, United States and Hong Kong. Yuan‐Tong Liu's co-authors include Zhi‐Jun Sun, Shuo Wang, Zhigang Xu, Xianbin Ma, Lu Zhang, Qi‐Chao Yang, Shu‐Jin Li, An Song, Hao Li and Mengjie Zhang and has published in prestigious journals such as Nature Communications, ACS Nano and Oncogene.

In The Last Decade

Yuan‐Tong Liu

18 papers receiving 892 citations

Hit Papers

Turning cold tumors into hot tumors by improving T-cell i... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers

Yuan‐Tong Liu
Comparison fields: 5 of 83
  • Oncology 384
  • Immunology 365
  • Molecular Biology 319
  • Biomedical Engineering 193
  • Pulmonary and Respiratory Medicine 146
Replace Tao Shi with:
Tao Shi China
May Tun Saung United States
Shailendra K. Gautam United States
Lanlan Hui China
Lenka Kašíková Czechia
Jingshu Meng China
Aleksandra M. Dudek Netherlands
Chuanhui Han United States
Tingbo Liang China
Paulina Pathria United States
Tao Shi China View profile →
Citations per field, relative to Yuan‐Tong Liu
Yuan‐Tong Liu · 1×
Citations per year, relative to Yuan‐Tong Liu
Yuan‐Tong Liu · 1×

Countries citing papers authored by Yuan‐Tong Liu

Since Specialization
Citations

This map shows the geographic impact of Yuan‐Tong Liu'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 Yuan‐Tong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan‐Tong Liu more than expected).

Fields of papers citing papers by Yuan‐Tong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Tong Liu. 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 Yuan‐Tong Liu. The network helps show where Yuan‐Tong Liu may publish in the future.

Co-authorship network of co-authors of Yuan‐Tong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Tong Liu. A scholar is included among the top collaborators of Yuan‐Tong Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuan‐Tong Liu. Yuan‐Tong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 15
2 3
3 16
4 14
5 38
6 2
7 7
8 16
9 9
10 16
11 13
12 15
13 25
14 36
15
Turning cold tumors into hot tumors by improving T-cell infiltration breakdown →
533
16 17
17 65
18 54

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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