Hao‐Xiang Tan

1.1k total citations
12 papers, 906 citations indexed

About

Hao‐Xiang Tan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hao‐Xiang Tan has authored 12 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Hao‐Xiang Tan's work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers) and Cancer Cells and Metastasis (3 papers). Hao‐Xiang Tan is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers) and Cancer Cells and Metastasis (3 papers). Hao‐Xiang Tan collaborates with scholars based in China. Hao‐Xiang Tan's co-authors include Xiaohui Huang, Jiong Bi, Xinhui Fu, Jingsong Chen, Lianzhou Chen, Xilin Chen, Wen Li, Longjuan Zhang, L. Zhang and Qian Wang and has published in prestigious journals such as Food Chemistry, Cancer Biology & Therapy and Clinical & Experimental Metastasis.

In The Last Decade

Hao‐Xiang Tan

12 papers receiving 897 citations

Peers

Hao‐Xiang Tan

ONCOL

PFM

IMMUN

Yulin Sun China

Peiguo Cao China

Shengni Hua China

Angélique Gougèlet France

Yakir Guri Switzerland

Miaoxin Zhu China

Jelena Grahovac Serbia

Marta Prieto‐Vila Japan

Zongzhen Xu China

Chengyong Dong China

Yulin Sun China

Hao‐Xiang Tan

649 ×1.0

375 ×0.9

231 ×1.1

ONCOL

47 ×0.6

PFM

84 ×1.1

IMMUN

Citations per year, relative to Hao‐Xiang Tan Hao‐Xiang Tan (= 1×) peers Yulin Sun

Countries citing papers authored by Hao‐Xiang Tan

Since Specialization

Citations

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

Fields of papers citing papers by Hao‐Xiang Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao‐Xiang Tan

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

All Works

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12 of 12 papers shown

Zhang, Wentao, Hao‐Xiang Tan, Xiangquan Zeng, et al.. (2024). Mechanistic insights into the effects of controlled enzymatic hydrolysis on the binding behaviors between soy protein isolate and off-flavor compounds. Food Chemistry. 467. 142271–142271. 5 indexed citations

Huang, Shu, Yong Xie, Guanyu Chen, et al.. (2023). Targeting nano-regulator based on metal–organic frameworks for enhanced immunotherapy of bone metastatic prostate cancer. Cancer Nanotechnology. 14(1). 60 indexed citations

Tan, Hao‐Xiang, et al.. (2019). <p>TGFβ1 is essential for MSCs-CAFs differentiation and promotes HCT116 cells migration and invasion via JAK/STAT3 signaling</p>. OncoTargets and Therapy. Volume 12. 5323–5334. 42 indexed citations

Tan, Hao‐Xiang, et al.. (2019). CXCR4/TGF-β1 mediated self-differentiation of human mesenchymal stem cells to carcinoma-associated fibroblasts and promoted colorectal carcinoma development. Cancer Biology & Therapy. 21(3). 248–257. 35 indexed citations

Tan, Hao‐Xiang, Kai Zhou, Zhigang Xiao, et al.. (2019). CXCR4/TGF-β1 mediated hepatic stellate cells differentiation into carcinoma-associated fibroblasts and promoted liver metastasis of colon cancer. Cancer Biology & Therapy. 21(3). 258–268. 88 indexed citations

Fu, Xinhui, Qian Wang, Jingsong Chen, et al.. (2010). Clinical significance of miR-221 and its inverse correlation with p27Kip1 in hepatocellular carcinoma. Molecular Biology Reports. 38(5). 3029–3035. 62 indexed citations

Chen, Jingsong, Xiaohui Huang, Qian Wang, et al.. (2010). FAK is involved in invasion and metastasis of hepatocellular carcinoma. Clinical & Experimental Metastasis. 27(2). 71–82. 97 indexed citations

Chen, Jingsong, Qian Wang, Xinhui Fu, et al.. (2009). Involvement of PI3K/PTEN/AKT/mTOR pathway in invasion and metastasis in hepatocellular carcinoma: Association with MMP‐9. Hepatology Research. 39(2). 177–186. 292 indexed citations

Tan, Hao‐Xiang, Qian Wang, Lianzhou Chen, et al.. (2009). MicroRNA-9 reduces cell invasion and E-cadherin secretion in SK-Hep-1 cell. Medical Oncology. 27(3). 654–660. 76 indexed citations

10.

Huang, Xiaohui, Qian Wang, Jingsong Chen, et al.. (2009). Bead‐based microarray analysis of microRNA expression in hepatocellular carcinoma: miR‐338 is downregulated. Hepatology Research. 39(8). 786–794. 133 indexed citations

11.

Fu, Xinhui, Qian Wang, Xilin Chen, et al.. (2008). Expression patterns and polymorphisms of PTCH in Chinese hepatocellular carcinoma patients. Experimental and Molecular Pathology. 84(3). 195–199. 11 indexed citations

12.

Wang, Qian, Liangqi Cao, Xiaohui Huang, et al.. (2008). [Epigallocatechin-3-gallate induces apoptosis in human hepatocellular carcinoma cells].. PubMed. 88(36). 2524–8. 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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