Haihe Wang

1.7k total citations
51 papers, 1.2k citations indexed

About

Haihe Wang is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Haihe Wang has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Epidemiology and 13 papers in Oncology. Recurrent topics in Haihe Wang's work include Protein Tyrosine Phosphatases (9 papers), Cancer-related Molecular Pathways (8 papers) and Autophagy in Disease and Therapy (6 papers). Haihe Wang is often cited by papers focused on Protein Tyrosine Phosphatases (9 papers), Cancer-related Molecular Pathways (8 papers) and Autophagy in Disease and Therapy (6 papers). Haihe Wang collaborates with scholars based in China, United States and Singapore. Haihe Wang's co-authors include Qi Zeng, Samantha Yiling Quah, Jing Tang, Edward Manser, Yongqun He, Edison Ong, Shulan Yang, Jie Li, Ke Guo and Wen Guan and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Cancer Cell.

In The Last Decade

Haihe Wang

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haihe Wang China 17 855 235 197 184 112 51 1.2k
Agnieszka Michael United Kingdom 23 918 1.1× 363 1.5× 685 3.5× 261 1.4× 154 1.4× 85 1.8k
Chi Hang Wong Hong Kong 25 876 1.0× 209 0.9× 433 2.2× 336 1.8× 119 1.1× 62 1.7k
Fei Teng China 16 1.2k 1.4× 240 1.0× 88 0.4× 58 0.3× 61 0.5× 39 1.5k
Yonghua Bao China 20 707 0.8× 384 1.6× 168 0.9× 228 1.2× 76 0.7× 41 1.2k
Kensuke Tomio Japan 16 222 0.3× 134 0.6× 202 1.0× 272 1.5× 259 2.3× 27 796
Hongxiu Ji United States 17 440 0.5× 149 0.6× 267 1.4× 411 2.2× 302 2.7× 42 1.4k
Daniel G. Rudmann United States 17 332 0.4× 77 0.3× 134 0.7× 128 0.7× 146 1.3× 28 1.0k
Jarin Chun United States 11 1.0k 1.2× 263 1.1× 502 2.5× 132 0.7× 77 0.7× 11 1.6k
Sudhakar Jha Singapore 25 1.6k 1.9× 272 1.2× 552 2.8× 143 0.8× 403 3.6× 44 2.2k
Anna V. Ivshina Singapore 17 748 0.9× 364 1.5× 233 1.2× 74 0.4× 94 0.8× 23 1.2k

Countries citing papers authored by Haihe Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haihe Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihe Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haihe Wang. A scholar is included among the top collaborators of Haihe Wang 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 Haihe Wang. Haihe Wang 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.
Fang, Ying, Jinghong Li, Jing Yang, et al.. (2025). A novel taxane SB-T-101141 triggers a noncanonical ferroptosis to overcome Paclitaxel resistance of breast cancer via iron homeostasis-related KHSRP. Cell Death and Disease. 16(1). 403–403. 1 indexed citations
2.
Zhang, Xiaomei, Y. Wang, Ying Fang, et al.. (2024). Activation of the PERK/eIF2α axis is a pivotal prerequisite of taxanes to cancer cell apoptosis and renders synergism to overcome paclitaxel resistance in breast cancer cells. Cancer Cell International. 24(1). 249–249. 4 indexed citations
3.
He, Ke, et al.. (2023). Integrative analysis of multi-omics data reveals inhibition of RB1 signaling promotes apatinib resistance of hepatocellular carcinoma. International Journal of Biological Sciences. 19(14). 4511–4524. 3 indexed citations
4.
Liu, Bin, et al.. (2023). SH3BGRL Suppresses Liver Tumor Progression through Enhanced ATG5-Dependent Autophagy. Journal of Oncology. 2023. 1–13. 1 indexed citations
5.
Wang, Dongxia, Bo Wu, Zhe Li, et al.. (2023). Loss of the adaptor protein Sh3bgrl initiates ovarian fibrosis in zebrafish. FEBS Letters. 597(21). 2643–2655. 1 indexed citations
6.
Wang, Dongxia, et al.. (2023). Erk5 functions in modulation of zebrafish intestinal permeability. Cell and Tissue Research. 393(2). 281–296. 3 indexed citations
7.
Wang, Haihe, Kaibo Zhang, Lin Wu, Qian Qin, & Yongqun He. (2022). Prediction of Pathogenic Factors in Dysbiotic Gut Microbiomes of Colorectal Cancer Patients Using Reverse Microbiomics. Frontiers in Oncology. 12. 882874–882874. 4 indexed citations
8.
Yang, Bo, Haihe Wang, Yanqing Hou, et al.. (2021). Experimental and Simulation Research on the Preparation of Carbon Nano-Materials by Chemical Vapor Deposition. Materials. 14(23). 7356–7356. 6 indexed citations
9.
Zhou, Qing, Rong Liang, Yang Yang, et al.. (2021). Development of cell culture infectious clones for hepatitis C virus genotype 1b and transcription analysis of 1b-infected hepatoma cells. Antiviral Research. 193. 105136–105136. 6 indexed citations
10.
Zhang, Shaoyang, et al.. (2021). Adaptor SH3BGRL promotes breast cancer metastasis through PFN1 degradation by translational STUB1 upregulation. Oncogene. 40(38). 5677–5690. 10 indexed citations
11.
Gong, Lu, Qinghe Zhang, Xiao Pan, et al.. (2019). p53 Protects Cells from Death at the Heatstroke Threshold Temperature. Cell Reports. 29(11). 3693–3707.e5. 10 indexed citations
12.
Meng, Qingyu, et al.. (2018). Resveratrol Promoted Interferon-α-Induced Growth Inhibition and Apoptosis of SMMC7721 Cells by Activating the SIRT/STAT1. Journal of Interferon & Cytokine Research. 38(6). 261–271. 10 indexed citations
13.
Tong, Fang, Xiaoling Guo, Li Li, et al.. (2016). Expression patterns of SH3BGR family members in zebrafish development. Development Genes and Evolution. 226(4). 287–295. 17 indexed citations
14.
Zhang, Wenliang, Bin Liu, Shuai Mao, et al.. (2016). Poly C binding protein 1 represses autophagy through downregulation of LC3B to promote tumor cell apoptosis in starvation. The International Journal of Biochemistry & Cell Biology. 73. 127–136. 23 indexed citations
15.
Li, Li, Xiaoling Guo, Fang Tong, et al.. (2016). Upregulation of metastasis-associated PRL-3 initiates chordoma in zebrafish. International Journal of Oncology. 48(4). 1541–1552. 7 indexed citations
16.
Chen, Guofu, et al.. (2013). STAT1 negatively regulates hepatocellular carcinoma cell proliferation. Oncology Reports. 29(6). 2303–2310. 34 indexed citations
17.
Wang, Haihe, et al.. (2007). PRL-3 Down-regulates PTEN Expression and Signals through PI3K to Promote Epithelial-Mesenchymal Transition. Cancer Research. 67(7). 2922–2926. 210 indexed citations
18.
Guo, Ke, Jie Li, Haihe Wang, et al.. (2006). PRL-3 Initiates Tumor Angiogenesis by Recruiting Endothelial Cells In vitro and In vivo. Cancer Research. 66(19). 9625–9635. 77 indexed citations
19.
Wang, Haihe, et al.. (2000). The biological identification of the virus causing Pennisetum flaccidum mosaic. Journal of Beijing Normal University. 36(3). 374–378. 1 indexed citations
20.
Wang, Haihe, et al.. (1999). The establishment of ELISA for the detection of cucumber mosaic virus in Weibei tobacco-planting area of Shaanxi Province. 27(4). 7–11. 1 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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