Hao Lin

792 total citations · 1 hit paper
28 papers, 544 citations indexed

About

Hao Lin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hao Lin has authored 28 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Hao Lin's work include Immune cells in cancer (5 papers), Cancer Research and Treatments (4 papers) and Virus-based gene therapy research (3 papers). Hao Lin is often cited by papers focused on Immune cells in cancer (5 papers), Cancer Research and Treatments (4 papers) and Virus-based gene therapy research (3 papers). Hao Lin collaborates with scholars based in China, United States and Singapore. Hao Lin's co-authors include Hui Yang, Ying Mao, An-Kang Hu, Li Sun, David J. Orlicky, Elizabeth F. Redente, Meredith A. Tennis, Cynthia Ju, Kevin S. Choo and Jason M. Fritz and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Immunology and Gene.

In The Last Decade

Hao Lin

25 papers receiving 533 citations

Hit Papers

Harnessing innate immune pathways for therapeutic advance... 2024 2026 2025 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Lin China 12 235 227 170 163 78 28 544
Irem Kaymak United States 10 327 1.4× 212 0.9× 160 0.9× 273 1.7× 87 1.1× 12 628
Bo Ni China 12 282 1.2× 163 0.7× 128 0.8× 218 1.3× 116 1.5× 30 560
Ryotaro Ogawa Japan 8 202 0.9× 232 1.0× 344 2.0× 132 0.8× 78 1.0× 16 587
Shikha Saini United States 15 366 1.6× 228 1.0× 251 1.5× 99 0.6× 65 0.8× 21 695
Zhi-Ming Shao China 5 280 1.2× 347 1.5× 290 1.7× 192 1.2× 70 0.9× 9 692
Liangsheng Fan China 17 325 1.4× 133 0.6× 232 1.4× 163 1.0× 67 0.9× 29 591
Jiuyang Liu China 10 248 1.1× 223 1.0× 228 1.3× 141 0.9× 115 1.5× 17 677
Saeed Farajzadeh Valilou Iran 6 235 1.0× 309 1.4× 343 2.0× 97 0.6× 79 1.0× 9 664
Zhuoqing Xu China 13 340 1.4× 132 0.6× 266 1.6× 198 1.2× 102 1.3× 25 629
Zengxun Li China 11 298 1.3× 156 0.7× 255 1.5× 207 1.3× 61 0.8× 14 603

Countries citing papers authored by Hao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Lin. A scholar is included among the top collaborators of Hao Lin 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 Hao Lin. Hao Lin 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.
Li, Hongfei, Lingyu Cui, Quan Zou, et al.. (2025). Single-cell multi-omics data reveal heterogeneity in liver tissue microenvironment induced by hypertension. Molecular Therapy — Nucleic Acids. 36(4). 102696–102696. 1 indexed citations
2.
Jiang, Rongrong, Hui Zhou, Mengxi Ge, et al.. (2024). PHF12 regulates HDAC1 to promote tumorigenesis via EGFR/AKT signaling pathway in non-small cell lung cancer. Journal of Translational Medicine. 22(1). 689–689.
3.
Hu, An-Kang, et al.. (2024). Harnessing innate immune pathways for therapeutic advancement in cancer. Signal Transduction and Targeted Therapy. 9(1). 68–68. 113 indexed citations breakdown →
4.
Chao, Angel, Chen‐Yang Huang, Willie Yu, et al.. (2024). Molecular profiling reveals novel therapeutic targets and clonal evolution in ovarian clear cell carcinoma. BMC Cancer. 24(1). 1403–1403. 4 indexed citations
6.
Chen, Cong, Yanbo Feng, Han Li, et al.. (2022). Pharmacokinetics and Main Metabolites of Anwulignan in Mice. Frontiers in Pharmacology. 13. 929177–929177. 1 indexed citations
7.
Lin, Hao, et al.. (2021). Upregulation of Long Noncoding RNA FGD5-AS1 Ameliorates Myocardial Ischemia/Reperfusion Injury via MicroRNA-106a-5p and MicroRNA-106b-5p. Journal of Cardiovascular Pharmacology. 78(1). e45–e54. 12 indexed citations
8.
Xu, Guangyu, Yanbo Feng, Han Li, et al.. (2021). Study on the effect of active components of Schisandra chinensis on liver injury and its mechanisms in mice based on network pharmacology. European Journal of Pharmacology. 910. 174442–174442. 14 indexed citations
9.
Pang, Kun, Hao Lin, Zhenduo Shi, et al.. (2020). Comprehensive gene expression analysis after ERH gene knockdown in human bladder cancer T24 cell lines. Gene. 738. 144475–144475. 12 indexed citations
10.
Lin, Hao, Qingqing Guo, Xing Li, et al.. (2019). LncRNA SUMO1P3 promotes proliferation and inhibits apoptosis in colorectal cancer by epigenetically silencing CPEB3. Biochemical and Biophysical Research Communications. 511(2). 239–245. 19 indexed citations
11.
Jiang, Jingwei, et al.. (2017). Arsenic trioxide inhibits tumor-induced myeloid-derived suppressor cells and enhances T-cell activity. Oncology Letters. 13(4). 2141–2150. 14 indexed citations
12.
Jiang, Jingwei, Tian Wang, Hao Lin, et al.. (2016). MicroRNA expression profiles of granulocytic myeloid-derived suppressor cells from mice bearing Lewis lung carcinoma. Molecular Medicine Reports. 14(5). 4567–4574. 7 indexed citations
13.
Chu, Zhaohui, Hao Lin, Xiaohua Liang, et al.. (2015). Association between axillary lymph node status and Ki67 labeling index in triple-negative medullary breast carcinoma. Japanese Journal of Clinical Oncology. 45(7). 637–641. 6 indexed citations
14.
Wang, Juan, Hao Lin, Yan Wang, et al.. (2014). Inhibition of poly (ADP-ribose) polymerase and inducible nitric oxide synthase protects against ischemic myocardial damage by reduction of apoptosis. Molecular Medicine Reports. 11(3). 1768–1776. 20 indexed citations
15.
Luo, Qingquan, Hao Lin, Xiangyun Ye, et al.. (2014). Trim44 facilitates the migration and invasion of human lung cancer cells via the NF-κB signaling pathway. International Journal of Clinical Oncology. 20(3). 508–517. 59 indexed citations
16.
Fritz, Jason M., Meredith A. Tennis, David J. Orlicky, et al.. (2014). Depletion of Tumor-Associated Macrophages Slows the Growth of Chemically Induced Mouse Lung Adenocarcinomas. Frontiers in Immunology. 5. 587–587. 133 indexed citations
17.
Luo, Qingquan, Lili Tang, Hao Lin, et al.. (2013). The oncogenic role of PKCiota gene amplification and overexpression in Chinese non-small cell lung cancer. Lung Cancer. 84(2). 190–195. 7 indexed citations
18.
Han, Conghui, Hao Lin, Meng Chen, et al.. (2013). Target expression of Staphylococcus enterotoxin A from an oncolytic adenovirus suppresses mouse bladder tumor growth and recruits CD3+ T cell. Tumor Biology. 34(5). 2863–2869. 7 indexed citations
19.
Hu, Jianpeng, Conghui Han, Hao Lin, et al.. (2011). Anti-tumor Function of Double-promoter Regulated Adenovirus Carrying SEA Gene, in the Treatment of Bladder Cancer. Cell Biochemistry and Biophysics. 62(2). 353–359. 5 indexed citations
20.
Han, Conghui, Zhen Gong, Hao Lin, et al.. (2011). Mechanism of Monoclonal Antibody-Coupled Staphylococcus Superantigen-A Induced Apoptosis in Human Bladder Cancer Cells. Cell Biochemistry and Biophysics. 61(3). 679–684. 5 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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