Xinghan Liu

2.2k total citations
105 papers, 1.6k citations indexed

About

Xinghan Liu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Xinghan Liu has authored 105 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 26 papers in Oncology and 23 papers in Immunology. Recurrent topics in Xinghan Liu's work include Angiogenesis and VEGF in Cancer (9 papers), Immune cells in cancer (9 papers) and Renal Diseases and Glomerulopathies (7 papers). Xinghan Liu is often cited by papers focused on Angiogenesis and VEGF in Cancer (9 papers), Immune cells in cancer (9 papers) and Renal Diseases and Glomerulopathies (7 papers). Xinghan Liu collaborates with scholars based in China, United States and Czechia. Xinghan Liu's co-authors include Zhijun Dai, Kang Liu, Yayi Hou, Cong Dai, Shuai Lin, Huafeng Kang, Pengtao Yang, Yujun Xu, Xi-Jing Wang and Lijie Yin and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Journal of Materials Chemistry A.

In The Last Decade

Xinghan Liu

102 papers receiving 1.5k citations

Peers

Xinghan Liu

ONCOL

IMMUN

GENET

Tao Zhu China

Yu Zhou China

Yuxin Wang China

Kaoru Tohyama Japan

Xiaochun Wan China

Xiaojin Wu China

Haoyan Chen China

Lei Cheng China

Jing Luo China

Tao Zhu China

Xinghan Liu

1.0k ×1.5

410 ×1.1

ONCOL

282 ×0.8

IMMUN

426 ×1.5

114 ×0.8

GENET

Citations per year, relative to Xinghan Liu Xinghan Liu (= 1×) peers Tao Zhu

Countries citing papers authored by Xinghan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xinghan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghan Liu

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

All Works

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20 of 20 papers shown

Zhang, Jingyu, Xinghan Liu, Jinming Li, et al.. (2025). Dual Reconstructions of Iron Phosphates/Molybdates on Nickel Foams with Disparate Dynamics for Oxygen Evolution Reaction. The Journal of Physical Chemistry Letters. 16(33). 8523–8530.

Xu, Yifan, Xiao Liu, Xinghan Liu, et al.. (2024). ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. 9733–9760. 4 indexed citations

Li, Yejun, et al.. (2024). Revealing a synergistic orbital coupling adsorption mechanism of the oxygen reduction reaction in dual-atom catalysts. Journal of Materials Chemistry A. 12(44). 30676–30684. 2 indexed citations

Nan, Guoshun, Xinghan Liu, Xinchen Lyu, et al.. (2023). UDSem: A Unified Distributed Learning Framework for Semantic Communications Over Wireless Networks. IEEE Network. 38(1). 296–303. 11 indexed citations

Sun, Zhiheng, Junxing Qu, Xiaoyu Xia, et al.. (2021). 17β-Estradiol promotes LC3B-associated phagocytosis in trained immunity of female mice against sepsis. International Journal of Biological Sciences. 17(2). 460–474. 19 indexed citations

Liu, Xinghan, Yujun Xu, Lijie Yin, Yayi Hou, & Shuli Zhao. (2021). Chitosan-Poly(Acrylic Acid) Nanoparticles Loaded with R848 and MnCl2 Inhibit Melanoma via Regulating Macrophage Polarization and Dendritic Cell Maturation. International Journal of Nanomedicine. Volume 16. 5675–5692. 23 indexed citations

Li, Yi, Yujun Xu, Xinghan Liu, et al.. (2021). Correction to: mTOR inhibitor INK128 promotes wound healing by regulating MDSCs. Stem Cell Research & Therapy. 12(1). 494–494. 2 indexed citations

Wang, Meng, Xinghan Liu, Shuai Lin, et al.. (2018). FABP1 Polymorphisms Contribute to Hepatocellular Carcinoma Susceptibility in Chinese Population with Liver Cirrhosis: A Case-Control Study. Journal of Cancer. 9(22). 4294–4300. 10 indexed citations

Liu, Xinghan, Jun Lü, Wei Duan, et al.. (2017). Predictive Value of UGT1A1*28 Polymorphism In Irinotecan-based Chemotherapy. Journal of Cancer. 8(4). 691–703. 24 indexed citations

10.

Ma, Xiaobin, Xi-Jing Wang, Meng Wang, et al.. (2016). Impact of the PARP1 rs1136410 and rs3219145 polymorphisms on susceptibility and clinicopathologic features of breast cancer in a Chinese population. Translational Cancer Research. 5(5). 520–528. 1 indexed citations

11.

Dai, Cong, Huafeng Kang, Wanggang Zhang, et al.. (2016). The Associations of Single Nucleotide Polymorphisms in miR196a2, miR-499, and miR-608 With Breast Cancer Susceptibility. Medicine. 95(7). e2826–e2826. 36 indexed citations

12.

Fu, Rongguo, Jie Gao, Qiaoling Yu, et al.. (2016). Association of Megsin Gene Variants With IgA Nephropathy in Northwest Chinese Population. Medicine. 95(6). e2694–e2694. 1 indexed citations

13.

Dai, Zhijun, Zheng Wang, Xi-Jing Wang, et al.. (2016). Distinct role of the <em>Fas </em>rs1800682 and <em>FasL </em>rs763110 polymorphisms in determining the risk of breast cancer among Han Chinese women. Drug Design Development and Therapy. Volume 10. 2359–2367. 8 indexed citations

14.

Dai, Cong, Tiansong Zhang, Shuai Lin, et al.. (2016). Role of IL-17A rs2275913 and IL-17F rs763780 polymorphisms in risk of cancer development: an updated meta-analysis. Scientific Reports. 6(1). 20439–20439. 43 indexed citations

15.

Dai, Cong, Jie Liu, Xing-Mei Cao, et al.. (2015). Association Between Interleukin-10-3575T>A (rs1800890) Polymorphism and Cancer Risk. Genetic Testing and Molecular Biomarkers. 19(6). 324–330. 3 indexed citations

16.

Gao, Jie, Qiaoling Yu, Rongguo Fu, et al.. (2015). Lack of Association Between Polymorphisms in AGT and ATR1 and IgA Nephropathy in a Chinese Population. Genetic Testing and Molecular Biomarkers. 19(12). 710–713. 4 indexed citations

17.

Wang, Dan, et al.. (2015). Examination of Hippocampal Differences Between Alzheimer Disease, Amnestic Mild Cognitive Impairment and Normal Aging: Diffusion Kurtosis. Current Alzheimer Research. 12(1). 80–87. 23 indexed citations

18.

Liu, Xinghan, Sha Li, Meng Wang, & Zhijun Dai. (2015). Current Status and Future Perspectives of Sonodynamic Therapy and Sonosensitiers. Asian Pacific Journal of Cancer Prevention. 16(11). 4489–4492. 13 indexed citations

19.

Zhang, Chunmei, Zhang Xue-ju, Chunbo Liu, et al.. (2009). Expression of endostatin mediated by a novel non-viral delivery system inhibits human umbilical vein endothelial cells in vitro. Molecular Biology Reports. 37(4). 1755–1762. 7 indexed citations

20.

Yu, Qiong, et al.. (2004). Expression, purification and activity of recombinant human osteogenic growth peptide (rhOGP). Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 20(4). 467–472. 2 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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