Hong Tu

5.0k total citations
83 papers, 4.0k citations indexed

About

Hong Tu is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Hong Tu has authored 83 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 25 papers in Hepatology and 23 papers in Molecular Biology. Recurrent topics in Hong Tu's work include Hepatitis B Virus Studies (28 papers), Liver Disease Diagnosis and Treatment (23 papers) and Hepatitis C virus research (22 papers). Hong Tu is often cited by papers focused on Hepatitis B Virus Studies (28 papers), Liver Disease Diagnosis and Treatment (23 papers) and Hepatitis C virus research (22 papers). Hong Tu collaborates with scholars based in China, United States and France. Hong Tu's co-authors include Weihong Pan, Abba J. Kastin, Jianren Gu, Hung Hsuchou, Stephanie T. Shi, Ming Yao, Deborah R. Taylor, Yu Gan, Taoyang Chen and Stephen J. Polyak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Nature Cell Biology.

In The Last Decade

Hong Tu

82 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Tu China 33 1.4k 1.3k 971 784 744 83 4.0k
Zbigniew Kmieć Poland 26 1.1k 0.8× 624 0.5× 313 0.3× 342 0.4× 377 0.5× 140 3.1k
Mathias Leblanc United States 27 2.2k 1.5× 674 0.5× 189 0.2× 700 0.9× 862 1.2× 45 5.3k
Christophe Bonny Switzerland 40 3.1k 2.2× 578 0.5× 270 0.3× 327 0.4× 383 0.5× 114 6.3k
Hyeseong Cho South Korea 36 2.4k 1.7× 849 0.7× 559 0.6× 488 0.6× 607 0.8× 105 4.1k
Jerome Schaack United States 46 3.9k 2.7× 707 0.6× 135 0.1× 373 0.5× 694 0.9× 108 6.1k
Thurl E. Harris United States 38 3.8k 2.7× 753 0.6× 91 0.1× 562 0.7× 370 0.5× 70 5.8k
Jean Chambaz France 32 1.5k 1.1× 783 0.6× 142 0.1× 254 0.3× 414 0.6× 88 4.4k
Phuong Le United States 34 2.1k 1.5× 295 0.2× 436 0.4× 314 0.4× 614 0.8× 75 4.0k
Pradip Saha United States 36 2.1k 1.5× 1.7k 1.3× 75 0.1× 362 0.5× 320 0.4× 76 5.5k
Thérèse Lehy France 32 940 0.7× 1.2k 1.0× 119 0.1× 209 0.3× 641 0.9× 101 3.7k

Countries citing papers authored by Hong Tu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Tu. A scholar is included among the top collaborators of Hong Tu 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 Hong Tu. Hong Tu 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.
Liang, Yiyi, Jian Gao, Peiying Li, et al.. (2023). Environmental eustress promotes liver regeneration through the sympathetic regulation of type 1 innate lymphoid cells to increase IL-22 in mice. Hepatology. 78(1). 136–149. 19 indexed citations
2.
Wang, Qing, Mengge Li, Yu Gan, et al.. (2020). Mitochondrial Protein UQCRC1 is Oncogenic and a Potential Therapeutic Target for Pancreatic Cancer. Theranostics. 10(5). 2141–2157. 43 indexed citations
3.
Chen, Taoyang, Gengsun Qian, Chunsun Fan, et al.. (2018). Qidong hepatitis B virus infection cohort: a 25-year prospective study in high risk area of primary liver cancer. Hepatoma Research. 4(1). 4–4. 14 indexed citations
4.
Song, Yanfang, Yu Gan, Qīng Wáng, et al.. (2017). Enriching the Housing Environment for Mice Enhances Their NK Cell Antitumor Immunity via Sympathetic Nerve–Dependent Regulation of NKG2D and CCR5. Cancer Research. 77(7). 1611–1622. 71 indexed citations
5.
Li, Hong, Taoyang Chen, Haiyang Xie, et al.. (2015). Serum DLK1 is a potential prognostic biomarker in patients with hepatocellular carcinoma. Tumor Biology. 36(11). 8399–8404. 19 indexed citations
6.
Gao, Huiping, Kesang Li, Hong Tu, et al.. (2014). Development of T Cells Redirected to Glypican-3 for the Treatment of Hepatocellular Carcinoma. Clinical Cancer Research. 20(24). 6418–6428. 259 indexed citations
7.
Cai, Xu‐Wei, Yu Gan, Jianxin Hu, et al.. (2013). The adiponectin gene single-nucleotide polymorphism rs1501299 is associated with hepatocellular carcinoma risk. Clinical & Translational Oncology. 16(2). 166–172. 6 indexed citations
8.
Jin, Yan, Hengjun Gao, Hao Chen, et al.. (2013). Identification and impact of hepatitis B virus DNA and antigens in pancreatic cancer tissues and adjacent non-cancerous tissues. Cancer Letters. 335(2). 447–454. 41 indexed citations
9.
Tu, Hong. (2011). A seventeen-year prospective cohort study on association of hepatitis B virus e antigen with the risk of hepatocellular carcinoma. Tumori. 3 indexed citations
10.
Bai, Xin, Yu Zhu, Gengsun Qian, et al.. (2010). Correlation of the mutations in n terminal of hepatitis B virus X protein with tumorigenesis of hepatocellular carcinoma.. Tumori. 30(5). 433–437. 1 indexed citations
11.
Ding, Jie, Shenglin Huang, Shun‐Quan Wu, et al.. (2010). Gain of miR-151 on chromosome 8q24.3 facilitates tumour cell migration and spreading through downregulating RhoGDIA. Nature Cell Biology. 12(4). 390–399. 261 indexed citations
12.
Hsuchou, Hung, Abba J. Kastin, Hong Tu, et al.. (2010). Role of astrocytic leptin receptor subtypes on leptin permeation across hCMEC/D3 human brain endothelial cells. Journal of Neurochemistry. 115(5). 1288–1298. 26 indexed citations
13.
Zhu, Yu, Yan Jin, Xiaoyun Guo, et al.. (2010). Temporal acquisition of sequential mutations in the enhancer II and basal core promoter of HBV in individuals at high risk for hepatocellular carcinoma. Carcinogenesis. 32(1). 63–68. 28 indexed citations
15.
Bai, Xin, et al.. (2008). High prevalence of hepatitis B virus pre-S mutation and its association with hepatocellular carcinoma in Qidong, China. Archives of Virology. 153(10). 1807–1812. 22 indexed citations
16.
Pan, Weihong, Hong Tu, Hung Hsuchou, J. Daniel, & Abba J. Kastin. (2007). Unexpected Amplification of Leptin-Induced Stat3 Signaling by Urocortin: Implications for Obesity. Journal of Molecular Neuroscience. 33(3). 232–238. 27 indexed citations
17.
Pan, Weihong, Hong Tu, Chuanhui Yu, et al.. (2007). Differential Role of TNF Receptors in Cellular Trafficking of Intact TNF. Cellular Physiology and Biochemistry. 20(5). 559–568. 13 indexed citations
18.
Shi, Stephanie T., Stephen J. Polyak, Hong Tu, et al.. (2002). Hepatitis C Virus NS5A Colocalizes with the Core Protein on Lipid Droplets and Interacts with Apolipoproteins. Virology. 292(2). 198–210. 256 indexed citations
19.
Tu, Hong, Lu Gao, Stephanie T. Shi, et al.. (1999). Hepatitis C Virus RNA Polymerase and NS5A Complex with a SNARE-like Protein. Virology. 263(1). 30–41. 201 indexed citations
20.
Tu, Hong, Sidong Xiong, C Trépo, & Yumei Wen. (1997). Frequency of hepatitis B virus e-minus mutants varies among patients from different areas of China. Journal of Medical Virology. 51(2). 85–89. 12 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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