Hai Hu

600 total citations
10 papers, 475 citations indexed

About

Hai Hu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hai Hu has authored 10 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Hai Hu's work include Cancer-related gene regulation (3 papers), Polyamine Metabolism and Applications (2 papers) and Cancer Cells and Metastasis (2 papers). Hai Hu is often cited by papers focused on Cancer-related gene regulation (3 papers), Polyamine Metabolism and Applications (2 papers) and Cancer Cells and Metastasis (2 papers). Hai Hu collaborates with scholars based in China, India and United Kingdom. Hai Hu's co-authors include Zhuan Zhou, Lixin Sun, Long Yu, Qian Liu, Jian Pan, Ping Zhao, Liang Peng, Ming‐Rong Wang, Yaling Han and Xin Xu and has published in prestigious journals such as PLoS ONE, Oncogene and American Journal Of Pathology.

In The Last Decade

Hai Hu

10 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Hu China 9 350 110 107 85 47 10 475
Zoia Levashova United States 15 293 0.8× 111 1.0× 92 0.9× 71 0.8× 101 2.1× 21 550
Pedro Torres‐Ayuso United States 13 268 0.8× 74 0.7× 74 0.7× 83 1.0× 33 0.7× 20 406
Yi‐Fang Yang Taiwan 12 357 1.0× 224 2.0× 102 1.0× 73 0.9× 68 1.4× 29 505
Gaurav Pathria United States 15 426 1.2× 186 1.7× 152 1.4× 71 0.8× 45 1.0× 20 581
Sonia Mohinta United States 9 361 1.0× 153 1.4× 167 1.6× 118 1.4× 43 0.9× 10 594
Joo Hye Yeo South Korea 7 319 0.9× 269 2.4× 90 0.8× 63 0.7× 56 1.2× 13 512
Huiming Cheng United States 5 486 1.4× 133 1.2× 118 1.1× 38 0.4× 58 1.2× 7 610
Giulia Biondani Italy 9 283 0.8× 182 1.7× 171 1.6× 42 0.5× 24 0.5× 9 461
Fawaz Halwani Canada 11 260 0.7× 108 1.0× 195 1.8× 65 0.8× 35 0.7× 16 522
Peiwei Huangyang China 10 496 1.4× 280 2.5× 124 1.2× 65 0.8× 54 1.1× 10 668

Countries citing papers authored by Hai Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Hu. A scholar is included among the top collaborators of Hai Hu 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 Hai Hu. Hai Hu 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.
Shen, Weiyi, Wentao Shao, Gang Zhao, et al.. (2023). Dietary diosgenin transcriptionally down-regulated intestinal NPC1L1 expression to prevent cholesterol gallstone formation in mice. Journal of Biomedical Science. 30(1). 44–44. 9 indexed citations
2.
Lu, Ruiqi, et al.. (2019). Inhibition of CD133 Overcomes Cisplatin Resistance Through Inhibiting PI3K/AKT/mTOR Signaling Pathway and Autophagy in CD133-Positive Gastric Cancer Cells. Technology in Cancer Research & Treatment. 18. 1078131959–1078131959. 40 indexed citations
3.
Lü, Ying, Junchen Wang, Chunzhang Yang, et al.. (2013). Overexpression of Arginine Transporter CAT-1 Is Associated with Accumulation of L-Arginine and Cell Growth in Human Colorectal Cancer Tissue. PLoS ONE. 8(9). e73866–e73866. 62 indexed citations
4.
Sun, Lichao, Hai Hu, Liang Peng, et al.. (2011). P-Cadherin Promotes Liver Metastasis and Is Associated with Poor Prognosis in Colon Cancer. American Journal Of Pathology. 179(1). 380–390. 59 indexed citations
5.
Peng, Liang, Hai Hu, Long Yu, et al.. (2009). Secreted LOXL2 is a novel therapeutic target that promotes gastric cancer metastasis via the Src/FAK pathway. Carcinogenesis. 30(10). 1660–1669. 161 indexed citations
6.
Hu, Hai, Yushan Zhang, Zhuan Zhou, et al.. (2007). Human esophageal cancer endothelial cells increase tumor growth by incorporating with mouse endothelium. Cancer Letters. 252(1). 123–130. 5 indexed citations
7.
Hu, Hai, Man‐Li Luo, Xiaoli Du, et al.. (2007). Up-regulated manganese superoxide dismutase expression increases apoptosis resistance in human esophageal squamous cell carcinomas. Chinese Medical Journal. 120(23). 2092–2098. 23 indexed citations
8.
Zhong, Xing, Hai Hu, Long Yu, et al.. (2006). Overexpressed Derlin-1 Inhibits ER Expansion in the Endothelial Cells Derived from Human Hepatic Cavernous Hemangioma. BMB Reports. 39(6). 677–685. 9 indexed citations
9.
Chen, Baosheng, Zhixiong Xu, Xin Xu, et al.. (2002). RhCG is downregulated in oesophageal squamous cell carcinomas, but expressed in multiple squamous epithelia. European Journal of Cancer. 38(14). 1927–1936. 27 indexed citations
10.

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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