Hai Wu

3.1k total citations
62 papers, 1.7k citations indexed

About

Hai Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hai Wu has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 19 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Hai Wu's work include RNA Research and Splicing (12 papers), Cancer-related molecular mechanisms research (11 papers) and MicroRNA in disease regulation (7 papers). Hai Wu is often cited by papers focused on RNA Research and Splicing (12 papers), Cancer-related molecular mechanisms research (11 papers) and MicroRNA in disease regulation (7 papers). Hai Wu collaborates with scholars based in China, United States and Chile. Hai Wu's co-authors include Yao Li, Jane B. Lian, André J. van Wijnen, Janet L. Stein, Gary S. Stein, Zhe Kong, Yalong Zhang, Xuechao Wan, Troy W. Whitfield and Phillip W.L. Tai and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Hai Wu

58 papers receiving 1.6k 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 Wu China 26 1.1k 645 301 157 150 62 1.7k
Deshui Jia China 17 1.1k 1.0× 717 1.1× 307 1.0× 112 0.7× 82 0.5× 24 1.6k
Xiaoyan Wang China 22 1.2k 1.1× 1.2k 1.8× 178 0.6× 203 1.3× 156 1.0× 70 1.7k
Patrícia P. Reis Brazil 27 1.2k 1.2× 828 1.3× 422 1.4× 287 1.8× 117 0.8× 80 2.1k
Jing Huang China 23 934 0.9× 634 1.0× 412 1.4× 159 1.0× 100 0.7× 81 1.6k
Lin Jin China 16 1.1k 1.1× 646 1.0× 227 0.8× 166 1.1× 72 0.5× 30 1.6k
Thomas Schwarzmayr Germany 17 808 0.8× 346 0.5× 210 0.7× 163 1.0× 230 1.5× 24 1.5k
Yi He China 23 1.2k 1.2× 784 1.2× 177 0.6× 333 2.1× 105 0.7× 75 1.7k
Pedram Kharaziha Sweden 14 795 0.8× 427 0.7× 201 0.7× 104 0.7× 189 1.3× 25 1.4k
Susan C. Hubchak United States 19 1.0k 1.0× 390 0.6× 218 0.7× 170 1.1× 98 0.7× 30 1.8k

Countries citing papers authored by Hai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Wu. A scholar is included among the top collaborators of Hai Wu 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 Wu. Hai Wu 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.
2.
Xu, Zhihua, Hai Wu, Youmin Guo, et al.. (2020). Development of a quantitative segmentation model to assess the effect of comorbidity on patients with COVID-19. European journal of medical research. 25(1). 8 indexed citations
3.
Zhang, Yingyi, Zhe Kong, Fangqiu Fu, et al.. (2017). An androgen reduced transcript of LncRNA GAS5 promoted prostate cancer proliferation. PLoS ONE. 12(8). e0182305–e0182305. 38 indexed citations
4.
Wu, Hai, Jonathan A. R. Gordon, Troy W. Whitfield, et al.. (2017). Chromatin dynamics regulate mesenchymal stem cell lineage specification and differentiation to osteogenesis. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1860(4). 438–449. 55 indexed citations
5.
Wan, Xuechao, Shu Yang, Yalong Zhang, et al.. (2016). Androgen-induced miR-27A acted as a tumor suppressor by targeting MAP2K4 and mediated prostate cancer progression. The International Journal of Biochemistry & Cell Biology. 79. 249–260. 52 indexed citations
6.
Wu, Wei, Xian Sun, Yun Gao, et al.. (2016). Genome-Wide De Novo Prediction of Cis-Regulatory Binding Sites in Mycobacterium tuberculosis H37Rv. PLoS ONE. 11(2). e0148965–e0148965. 3 indexed citations
7.
Gao, Guanghui, Xiufang Yang, Shengxiang Ren, et al.. (2015). Inhibition of RAC1-GEF DOCK3 by miR-512-3p contributes to suppression of metastasis in non-small cell lung cancer. The International Journal of Biochemistry & Cell Biology. 61. 103–114. 38 indexed citations
8.
Li, Xia, Shu Yang, Delong Meng, et al.. (2014). Identification of miR-133b and RB1CC1 as Independent Predictors for Biochemical Recurrence and Potential Therapeutic Targets for Prostate Cancer. Clinical Cancer Research. 20(9). 2312–2325. 60 indexed citations
9.
Yang, Xiufang, et al.. (2014). Connexin 31.1 degradation requires the Clathrin‐mediated autophagy in NSCLC cell H1299. Journal of Cellular and Molecular Medicine. 19(1). 257–264. 16 indexed citations
10.
Wen, Zilu, Rui Li, Yufeng Yao, et al.. (2013). Molecular characterization of multidrug-resistant Mycobacterium tuberculosis isolated from South-central in China. The Journal of Antibiotics. 67(4). 291–297. 19 indexed citations
11.
Yin, Rui‐Xing, Jin‐Zhen Wu, Jing Tan, et al.. (2008). Associations of Diet and Lifestyle with Hyperlipidemia for Middle-Aged and Elderly Persons among the Guangxi Bai Ku Yao and Han Populations. Journal of the American Dietetic Association. 108(6). 970–976. 27 indexed citations
12.
Yin, Rui‐Xing, Qiming Feng, Yang Dezhai, et al.. (2007). Comparison of demography, diet, lifestyle, and serum lipid levels between the Guangxi Bai Ku Yao and Han populations. Journal of Lipid Research. 48(12). 2673–2681. 66 indexed citations
13.
Yin, Rui‐Xing, et al.. (2007). Intramyocardial Injection of Vascular Endothelial Growth Factor Gene Improves Cardiac Performance and Inhibits Cardiomyocyte Apoptosis. European Journal of Heart Failure. 9(4). 343–351. 42 indexed citations
14.
15.
Jiang, Bin, Hai Wu, Chengtao Li, et al.. (2006). Application of HLA–DRB1 genotyping by oligonucleotide micro-array technology in forensic medicine. Forensic Science International. 162(1-3). 66–73. 14 indexed citations
16.
17.
Chen, Zheng, Long Yu, Hai Wu, et al.. (2003). Identification of a novel liver-specific expressed gene, TCP10L, encoding a human leucine zipper protein with transcription inhibition activity. Journal of Human Genetics. 48(11). 556–563. 5 indexed citations
18.
Li, Dan, Long Yu, Hai Wu, et al.. (2003). Cloning and identification of the human LPAAT-zeta gene, a novel member of the lysophosphatidic acid acyltransferase family. Journal of Human Genetics. 48(8). 438–442. 52 indexed citations
19.
Zhao, Enpeng, Jinsong Li, Yi Xie, et al.. (2003). Cloning and Identification of a Novel Human RNPC3 Gene That Encodes a Protein with Two RRM Domains and Is Expressed in the Cell Nucleus. Biochemical Genetics. 41(9-10). 315–323. 7 indexed citations
20.
Huang, Yan, Kang Ying, Yi Xie, et al.. (2001). Cloning and characterization of a novel human leptin receptor overlapping transcript-like 1 gene (LEPROTL1). Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1517(2). 327–331. 15 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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