Yunhe Liu

2.4k total citations · 1 hit paper
51 papers, 1.1k citations indexed

About

Yunhe Liu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yunhe Liu has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Oncology and 11 papers in Immunology. Recurrent topics in Yunhe Liu's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). Yunhe Liu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). Yunhe Liu collaborates with scholars based in China, United States and Argentina. Yunhe Liu's co-authors include Oscar A. Carretero, Fang Yang, Xiaoping Yang, Jiang Xu, Alissa Kapke, Xiaoping Yang, Xiao-Ping Yang, Zhenyin Tao, Maria A. Cavasin and Nour‐Eddine Rhaleb and has published in prestigious journals such as Nature Reviews Molecular Cell Biology, Cancer Research and The FASEB Journal.

In The Last Decade

Yunhe Liu

50 papers receiving 1.1k citations

Hit Papers

Profiling cell identity and tissue architecture with sing... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yunhe Liu China 19 438 345 246 176 167 51 1.1k
Swaminathan Murugappan United States 15 336 0.8× 351 1.0× 382 1.6× 133 0.8× 129 0.8× 27 1.3k
Magdalena L. Bochenek Germany 17 1.0k 2.3× 290 0.8× 243 1.0× 199 1.1× 272 1.6× 33 1.9k
Sonia Bergaya France 14 627 1.4× 332 1.0× 650 2.6× 227 1.3× 515 3.1× 15 1.9k
Suzanne J.A. Korporaal Netherlands 22 341 0.8× 382 1.1× 171 0.7× 491 2.8× 258 1.5× 51 1.5k
Pi‐Xiao Wang China 21 604 1.4× 196 0.6× 128 0.5× 139 0.8× 297 1.8× 27 1.3k
Ningling Kang United States 21 675 1.5× 109 0.3× 284 1.2× 198 1.1× 161 1.0× 32 1.5k
Hao Qin China 20 692 1.6× 80 0.2× 188 0.8× 149 0.8× 144 0.9× 60 1.5k
Lifan Liang United States 21 698 1.6× 525 1.5× 128 0.5× 201 1.1× 83 0.5× 48 1.3k
Yukihiro Hojo Japan 25 604 1.4× 659 1.9× 205 0.8× 369 2.1× 280 1.7× 56 1.6k
Xinmin Zhou China 21 632 1.4× 205 0.6× 254 1.0× 309 1.8× 127 0.8× 68 1.4k

Countries citing papers authored by Yunhe Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yunhe Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunhe Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yunhe Liu. A scholar is included among the top collaborators of Yunhe 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 Yunhe Liu. Yunhe Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Yunhe, Ziyue Wang, Yifei Du, et al.. (2025). Thienopyrimidine: A promising scaffold in the development of kinase inhibitors with anticancer activities. Bioorganic & Medicinal Chemistry. 121. 118109–118109. 4 indexed citations
2.
Wang, Xiao, Na Li, Yunhe Liu, et al.. (2024). Targeting focal adhesion kinase (FAK) in cancer therapy: A recent update on inhibitors and PROTAC degraders. European Journal of Medicinal Chemistry. 276. 116678–116678. 15 indexed citations
3.
Gulati, Gunsagar S., et al.. (2024). Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics. Nature Reviews Molecular Cell Biology. 26(1). 11–31. 89 indexed citations breakdown →
4.
Dong, Chenyu, et al.. (2024). A comparison of scRNA-seq annotation methods based on experimentally labeled immune cell subtype dataset. Briefings in Bioinformatics. 25(5). 5 indexed citations
5.
Cui, Qian, et al.. (2023). The DC–T cell axis is an effective target for the treatment of non‐small cell lung cancer. Immunity Inflammation and Disease. 11(11). e1099–e1099. 3 indexed citations
7.
Liu, Xiaojie, Lu Liu, Xu Wang, et al.. (2023). Necroptosis inhibits autophagy by regulating the formation of RIP3/p62/Keap1 complex in shikonin-induced ROS dependent cell death of human bladder cancer. Phytomedicine. 118. 154943–154943. 24 indexed citations
8.
Xia, Ying, Wentao Li, Guan Zhang, et al.. (2022). The Predictive Value of Changes in the Absolute Counts of Peripheral Lymphocyte Subsets for Progression and Prognosis in Breast Cancer Patients. Contrast Media & Molecular Imaging. 2022(1). 3444360–3444360. 12 indexed citations
9.
Liu, Yunhe, et al.. (2022). Single-Cell Transcriptomic Analysis Reveals Macrophage–Tumor Crosstalk in Hepatocellular Carcinoma. Frontiers in Immunology. 13. 955390–955390. 23 indexed citations
10.
Liu, Yunhe, et al.. (2021). Attention-Based Deep Multiple-Instance Learning for Classifying Circular RNA and Other Long Non-Coding RNA. Genes. 12(12). 2018–2018. 5 indexed citations
12.
Liu, Yunhe, Xiaoxue Guo, Wentao Li, et al.. (2020). Discovery and characteristics of B cell-like T cells: A potential novel tumor immune marker?. Immunology Letters. 220. 44–50. 10 indexed citations
14.
Xia, Ying, Wentao Li, Yongmin Li, et al.. (2020). The clinical value of the changes of peripheral lymphocyte subsets absolute counts in patients with non-small cell lung cancer. Translational Oncology. 13(12). 100849–100849. 26 indexed citations
15.
Liu, Yunhe, et al.. (2019). One-lincRNA and five-mRNA based signature for prognosis of multiple myeloma patients undergoing proteasome inhibitors therapy. Biomedicine & Pharmacotherapy. 118. 109254–109254. 8 indexed citations
16.
Tian, Fei, Jianxiong Wu, Weiqi Rong, et al.. (2014). Retrospective Evaluation of Discrepancies between Radiological and Pathological Size of Hepatocellular Carcinoma Masses. Asian Pacific Journal of Cancer Prevention. 15(21). 9487–9494. 4 indexed citations
17.
Tao, Zhenyin, Maria A. Cavasin, Fang Yang, Yunhe Liu, & Xiaoping Yang. (2003). Temporal changes in matrix metalloproteinase expression and inflammatory response associated with cardiac rupture after myocardial infarction in mice. Life Sciences. 74(12). 1561–1572. 110 indexed citations
18.
Yang, Fang, Yunhe Liu, Xiaoping Yang, et al.. (2002). Myocardial Infarction and Cardiac Remodelling in Mice. Experimental Physiology. 87(5). 547–555. 155 indexed citations
19.
Liu, Yunhe, Jiang Xu, Xiaoping Yang, et al.. (2000). Cardiac Function in Endothelial Nitric Oxide Synthase Knockout Mice with Heart Failure. Hypertension. 36. 703–703. 1 indexed citations
20.
Liu, Yunhe, et al.. (1993). A fast computed tomographic imaging method for myocardial perfusion.. PubMed. 7(4). 301–8. 4 indexed citations

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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