Hang Tong

619 total citations
31 papers, 439 citations indexed

About

Hang Tong is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hang Tong has authored 31 papers receiving a total of 439 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 Pulmonary and Respiratory Medicine. Recurrent topics in Hang Tong's work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers) and Epigenetics and DNA Methylation (6 papers). Hang Tong is often cited by papers focused on RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers) and Epigenetics and DNA Methylation (6 papers). Hang Tong collaborates with scholars based in China, Japan and United States. Hang Tong's co-authors include Hubin Yin, Weiyang He, Junlong Zhu, Weiyang He, Honghao Cao, Feixiang Wu, Xin Gou, Guang Yang, Yiyang Wang and Xinyuan Li and has published in prestigious journals such as International Journal of Molecular Sciences, Cancer Letters and BioMed Research International.

In The Last Decade

Hang Tong

28 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Tong China 13 267 188 91 91 53 31 439
Xuhong Wang China 10 329 1.2× 230 1.2× 56 0.6× 49 0.5× 60 1.1× 35 576
Quan Shen China 12 246 0.9× 158 0.8× 55 0.6× 48 0.5× 48 0.9× 28 465
Wenjing Yang China 12 214 0.8× 127 0.7× 74 0.8× 58 0.6× 43 0.8× 17 414
Xiaodong Lv China 13 236 0.9× 125 0.7× 140 1.5× 122 1.3× 78 1.5× 31 490
C Wang China 13 267 1.0× 153 0.8× 59 0.6× 163 1.8× 59 1.1× 39 553
Fanzheng Meng China 11 403 1.5× 358 1.9× 52 0.6× 43 0.5× 50 0.9× 16 597
Shihao Zheng China 10 346 1.3× 277 1.5× 70 0.8× 67 0.7× 28 0.5× 26 583
Yun Jiang China 14 401 1.5× 319 1.7× 93 1.0× 37 0.4× 27 0.5× 24 594
Hidetaka Hosono Japan 13 189 0.7× 95 0.5× 61 0.7× 71 0.8× 98 1.8× 18 455

Countries citing papers authored by Hang Tong

Since Specialization
Citations

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

Fields of papers citing papers by Hang Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Tong. A scholar is included among the top collaborators of Hang Tong 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 Hang Tong. Hang Tong 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.
Tong, Hang, Yan Sun, Junlong Zhu, et al.. (2025). Cancer-associated fibroblast derived CXCL14 drives cisplatin chemoresistance by enhancing nucleotide excision repair in bladder cancer. Journal of Experimental & Clinical Cancer Research. 44(1). 265–265.
2.
Tong, Hang, et al.. (2025). Ursolic acid sensitizes bladder cancer to gemcitabine chemotherapy by concurrently targeting PI3K/AKT and JNK pathways. Translational Andrology and Urology. 14(10). 2902–2916.
3.
Li, Xinyuan, Guozhi Zhao, Chen Zhang, et al.. (2025). Transglutaminase 2 facilitates metastasis of basal-like bladder cancer by sustaining MVP-mediated MAPK/ERK1/2 signaling activation. Cancer Letters. 636. 218146–218146.
4.
Wu, Linfeng, Yan Sun, Junlong Zhu, et al.. (2024). Nucleolar protein 3 promotes proliferation of bladder cancer cells through the PI3K-Akt pathway. World Journal of Surgical Oncology. 22(1). 316–316. 1 indexed citations
5.
Li, Xinyuan, Xiang Zhou, Hang Tong, et al.. (2023). A Novel Hypoxia-related lncRNA Risk Score Model for Prognosis Evaluation of Clear Cell Renal Cell Carcinoma. Combinatorial Chemistry & High Throughput Screening. 28(15). 2589–2600. 1 indexed citations
6.
Zhu, Junlong, et al.. (2023). YTHDF1 Promotes Bladder Cancer Cell Proliferation via the METTL3/YTHDF1–RPN2–PI3K/AKT/mTOR Axis. International Journal of Molecular Sciences. 24(8). 6905–6905. 21 indexed citations
7.
Sun, Yan, Xudong Liu, Hang Tong, et al.. (2023). SIRT1 Promotes Cisplatin Resistance in Bladder Cancer via Beclin1 Deacetylation-Mediated Autophagy. Cancers. 16(1). 125–125. 10 indexed citations
8.
Liu, Jian, Hang Tong, Hongda Zhu, et al.. (2023). Design, Synthesis, Biological Evaluation and Molecular Docking Studies of Quercetin‐Linker‐H2S Donor Conjugates for the Treatment of Diabetes and Wound Healing**. Chemistry & Biodiversity. 20(7). e202300513–e202300513. 2 indexed citations
9.
Tong, Hang, et al.. (2022). Identification of a Three-Glycolysis-Related lncRNA Signature Correlated With Prognosis and Metastasis in Clear Cell Renal Cell Carcinoma. Frontiers in Medicine. 8. 777507–777507. 9 indexed citations
10.
Wang, Yiyang, Haoming Wang, Chen Zhao, et al.. (2021). Deficiency of MIF Accentuates Overloaded Compression‐Induced Nucleus Pulposus Cell Oxidative Damage via Depressing Mitophagy. Oxidative Medicine and Cellular Longevity. 2021(1). 6192498–6192498. 16 indexed citations
11.
Zhao, Kang, et al.. (2021). A Metastasis-Related lncRNA Signature Correlates With the Prognosis in Clear Cell Renal Cell Carcinoma. Frontiers in Oncology. 11. 692535–692535. 9 indexed citations
12.
Tong, Hang, et al.. (2021). PICK1 Deficiency Exacerbates Sepsis‐Associated Acute Kidney Injury. BioMed Research International. 2021(1). 9884297–9884297. 8 indexed citations
13.
Tong, Hang, et al.. (2021). Starvation induced autophagy promotes the progression of bladder cancer by LDHA mediated metabolic reprogramming. Cancer Cell International. 21(1). 597–597. 27 indexed citations
14.
Cao, Honghao, et al.. (2021). A Glycolysis-Based Long Non-coding RNA Signature Accurately Predicts Prognosis in Renal Carcinoma Patients. Frontiers in Genetics. 12. 638980–638980. 14 indexed citations
15.
Zhu, Xin, Hang Tong, Hubin Yin, et al.. (2020). C1QTNF6 Overexpression Acts as a Predictor of Poor Prognosis in Bladder Cancer Patients. BioMed Research International. 2020(1). 7139721–7139721. 6 indexed citations
16.
Liu, Rui, et al.. (2020). Fetuin B overexpression suppresses proliferation, migration, and invasion in prostate cancer by inhibiting the PI3K/AKT signaling pathway. Biomedicine & Pharmacotherapy. 131. 110689–110689. 16 indexed citations
17.
Yin, Hubin, et al.. (2020). <p>Nucleolar and Spindle Associated Protein 1 (NUSAP1) Promotes Bladder Cancer Progression Through the TGF-β Signaling Pathway</p>. OncoTargets and Therapy. Volume 13. 813–825. 24 indexed citations
18.
Yang, Guang, Hubin Yin, Lin Fan, et al.. (2020). Long noncoding RNA TUG1 regulates prostate cancer cell proliferation, invasion and migration via the Nrf2 signaling axis. Pathology - Research and Practice. 216(4). 152851–152851. 19 indexed citations
19.
20.
Tong, Hang, et al.. (2017). Fine-grained sentiment analysis with 32 dimensions. 387–390. 3 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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