Houhui Shi

1.3k total citations · 1 hit paper
10 papers, 901 citations indexed

About

Houhui Shi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Houhui Shi has authored 10 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Houhui Shi's work include Immune cells in cancer (6 papers), Cancer Cells and Metastasis (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Houhui Shi is often cited by papers focused on Immune cells in cancer (6 papers), Cancer Cells and Metastasis (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Houhui Shi collaborates with scholars based in China. Houhui Shi's co-authors include Kai Li, Qizhi Ma, Yue Chen, Pei Shu, Yongsheng Wang, Dan Li, Benxia Zhang, Xuejin Ou, Xia Zhao and Yanghong Ni and has published in prestigious journals such as Frontiers in Immunology, Molecular Cancer and Cancer Letters.

In The Last Decade

Houhui Shi

10 papers receiving 891 citations

Hit Papers

Myeloid-derived suppressor cells as immunosuppressive reg... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Houhui Shi China 6 521 424 280 125 100 10 901
Paulina Pathria United States 5 625 1.2× 378 0.9× 361 1.3× 129 1.0× 146 1.5× 5 992
Qizhi Ma China 8 421 0.8× 395 0.9× 224 0.8× 96 0.8× 72 0.7× 17 753
Paul R. Gielen Netherlands 9 741 1.4× 501 1.2× 455 1.6× 111 0.9× 115 1.1× 11 1.2k
Benxia Zhang China 6 400 0.8× 364 0.9× 184 0.7× 86 0.7× 66 0.7× 10 696
Nina Linde Germany 10 379 0.7× 452 1.1× 346 1.2× 118 0.9× 160 1.6× 17 884
Qingyang Lei China 8 392 0.8× 441 1.0× 333 1.2× 77 0.6× 225 2.3× 15 852
Saeed Farajzadeh Valilou Iran 6 309 0.6× 343 0.8× 235 0.8× 55 0.4× 97 1.0× 9 664
Nathalie Harrer Austria 15 398 0.8× 312 0.7× 428 1.5× 126 1.0× 137 1.4× 19 1.0k
Jessica M. Posada United States 10 263 0.5× 354 0.8× 226 0.8× 97 0.8× 128 1.3× 18 707

Countries citing papers authored by Houhui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Houhui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houhui Shi

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

All Works

10 of 10 papers shown
1.
Xu, Wentao, Jiaqi Zhang, Houhui Shi, et al.. (2025). Dual-Mode Treatment of Hepatocellular Carcinoma Using RGD Cyclopeptide-Modified Liposomes Loaded with Ce6/DOX. International Journal of Nanomedicine. Volume 20. 3845–3860. 3 indexed citations
2.
Zheng, Jiajia, et al.. (2025). Emerging engineered nanozymes: current status and future perspectives in cancer treatments. Nanoscale Advances. 7(5). 1226–1242. 4 indexed citations
3.
Shi, Houhui, et al.. (2025). Exploring Strategies to Prevent and Treat Ovarian Cancer in Terms of Oxidative Stress and Antioxidants. Antioxidants. 14(1). 114–114. 4 indexed citations
4.
Shi, Houhui, et al.. (2024). Analyzing the impact of metabolism on immune cells in tumor microenvironment to promote the development of immunotherapy. Frontiers in Immunology. 14. 1307228–1307228. 10 indexed citations
5.
Shi, Houhui, Kai Li, Yanghong Ni, Xiao Liang, & Xia Zhao. (2021). Myeloid-Derived Suppressor Cells: Implications in the Resistance of Malignant Tumors to T Cell-Based Immunotherapy. Frontiers in Cell and Developmental Biology. 9. 707198–707198. 29 indexed citations
6.
Ni, Yanghong, Xiaoting Zhou, Houhui Shi, et al.. (2021). The Role of Tumor-Stroma Interactions in Drug Resistance Within Tumor Microenvironment. Frontiers in Cell and Developmental Biology. 9. 637675–637675. 105 indexed citations
7.
Cheng, Yuan, Fei Mo, Qingfang Li, et al.. (2021). Targeting CXCR2 inhibits the progression of lung cancer and promotes therapeutic effect of cisplatin. Molecular Cancer. 20(1). 62–62. 143 indexed citations
8.
Yang, Yang, Xiaoyi Hu, Hongyi Li, et al.. (2021). Dual mTORC1/2 inhibitor AZD2014 diminishes myeloid-derived suppressor cells accumulation in ovarian cancer and delays tumor growth. Cancer Letters. 523. 72–81. 20 indexed citations
9.
Tang, Fan, Yan Tie, Weiqi Hong, et al.. (2021). Patient-Derived Tumor Xenografts Plus Ex Vivo Models Enable Drug Validation for Tenosynovial Giant Cell Tumors. Annals of Surgical Oncology. 28(11). 6453–6463. 2 indexed citations
10.
Li, Kai, Houhui Shi, Benxia Zhang, et al.. (2021). Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer. Signal Transduction and Targeted Therapy. 6(1). 362–362. 581 indexed citations breakdown →

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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