Haihua Gu

6.2k total citations · 1 hit paper
85 papers, 5.1k citations indexed

About

Haihua Gu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Haihua Gu has authored 85 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 21 papers in Oncology and 14 papers in Immunology. Recurrent topics in Haihua Gu's work include Protein Tyrosine Phosphatases (22 papers), Galectins and Cancer Biology (9 papers) and Ubiquitin and proteasome pathways (7 papers). Haihua Gu is often cited by papers focused on Protein Tyrosine Phosphatases (22 papers), Galectins and Cancer Biology (9 papers) and Ubiquitin and proteasome pathways (7 papers). Haihua Gu collaborates with scholars based in China, United States and Canada. Haihua Gu's co-authors include Benjamin G. Neel, Lily Pao, Joanne C. Pratt, Steven J. Burakoff, Yongping Wang, James D. Griffin, John F. Timms, Hiroyuki Maeda, Sarah M. Davis and Jeffrey S. Flier and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Haihua Gu

81 papers receiving 5.0k citations

Hit Papers

The ‘Shp'ing news: SH2 do... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haihua Gu China 32 3.3k 2.0k 1.2k 580 379 85 5.1k
Cheng‐Kui Qu United States 35 2.7k 0.8× 1.4k 0.7× 829 0.7× 501 0.9× 533 1.4× 96 3.8k
Paul S. Changelian United States 27 1.7k 0.5× 1.6k 0.8× 1.5k 1.2× 284 0.5× 406 1.1× 39 4.4k
Donald L. Durden United States 38 3.3k 1.0× 997 0.5× 1.1k 1.0× 1.0k 1.7× 543 1.4× 108 5.3k
Hong Ji China 21 1.8k 0.5× 1.9k 0.9× 930 0.8× 300 0.5× 301 0.8× 35 4.1k
Pilar Navarro Spain 33 2.6k 0.8× 914 0.5× 979 0.8× 593 1.0× 193 0.5× 80 4.1k
Andrew J. Paterson United States 38 3.3k 1.0× 1.1k 0.5× 707 0.6× 378 0.7× 286 0.8× 73 4.9k
Yaacov Ben‐David Canada 37 3.4k 1.0× 753 0.4× 1.2k 1.0× 853 1.5× 577 1.5× 130 5.3k
Tilman Brummer Germany 35 2.9k 0.9× 897 0.4× 1.2k 1.0× 547 0.9× 208 0.5× 98 4.3k
J. David Becherer United States 35 2.0k 0.6× 1.1k 0.6× 1.4k 1.2× 847 1.5× 481 1.3× 51 4.4k
Alexandre Arcaro Switzerland 31 2.6k 0.8× 761 0.4× 659 0.6× 351 0.6× 185 0.5× 51 3.9k

Countries citing papers authored by Haihua Gu

Since Specialization
Citations

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

Fields of papers citing papers by Haihua Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihua Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Haihua Gu. A scholar is included among the top collaborators of Haihua Gu 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 Haihua Gu. Haihua Gu 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.
Cao, Jiawei, Tao Wu, Tong Zhou, et al.. (2025). USP35 promotes the growth of ER positive breast cancer by inhibiting ferroptosis via BRD4-SLC7A11 axis. Communications Biology. 8(1). 64–64. 2 indexed citations
2.
Cao, Jiawei, Tong Zhou, Tom Wu, et al.. (2025). Targeting estrogen-regulated system xc− promotes ferroptosis and endocrine sensitivity of ER+ breast cancer. Cell Death and Disease. 16(1). 30–30. 8 indexed citations
3.
Li, Lan, Jiawei Cao, Chunyan Chen, et al.. (2023). Antitumor effect of a novel humanized MUC1 antibody-drug conjugate on triple-negative breast cancer. Heliyon. 9(4). e15164–e15164. 3 indexed citations
4.
Wu, Guang, Lan Li, Wei Sun, et al.. (2021). A novel humanized MUC1 antibody–drug conjugate for the treatment of trastuzumab-resistant breast cancer. Acta Biochimica et Biophysica Sinica. 53(12). 1625–1639. 12 indexed citations
5.
Li, Tong, Min Liu, Guang Wu, et al.. (2019). Gab2 promotes cancer stem cell like properties and metastatic growth of ovarian cancer via downregulation of miR-200c. Experimental Cell Research. 382(1). 111462–111462. 25 indexed citations
6.
Yuan, Weihua, Jie Chen, Ying Cao, et al.. (2018). Comparative analysis and optimization of protocols for producing recombinant lentivirus carrying the anti‐Her2 chimeric antigen receptor gene. The Journal of Gene Medicine. 20(7-8). e3027–e3027. 12 indexed citations
7.
He, Licai, He Huang, Rui Gong, et al.. (2018). Mebendazole exhibits potent anti-leukemia activity on acute myeloid leukemia. Experimental Cell Research. 369(1). 61–68. 17 indexed citations
8.
Gordon, Melita A., Nicholas C. D’Amato, Haihua Gu, et al.. (2017). Synergy between Androgen Receptor Antagonism and Inhibition of mTOR and HER2 in Breast Cancer. Molecular Cancer Therapeutics. 16(7). 1389–1400. 41 indexed citations
9.
He, Licai, Hua Ma, Zhenfeng Zhu, et al.. (2017). Targeting Androgen Receptor in Treating HER2 Positive Breast Cancer. Scientific Reports. 7(1). 14584–14584. 50 indexed citations
10.
Ma, Hua, et al.. (2017). Shp1 positively regulates EGFR signaling by controlling EGFR protein expression in mammary epithelial cells. Biochemical and Biophysical Research Communications. 488(3). 439–444. 3 indexed citations
11.
Spikes, Leslie, Pranjali Dalvi, Ossama Tawfik, et al.. (2012). Enhanced Pulmonary Arteriopathy in Simian Immunodeficiency Virus–infected Macaques Exposed to Morphine. American Journal of Respiratory and Critical Care Medicine. 185(11). 1235–1243. 52 indexed citations
12.
Sheng, Qing, et al.. (2011). Gab2 regulates the migratory behaviors and E-cadherin expression via activation of the PI3K pathway in ovarian cancer cells. Oncogene. 31(20). 2512–2520. 66 indexed citations
13.
Gu, Haihua. (2010). Improvement of similarity measure method. Computer Engineering and Applications Journal.
14.
Mei, Shuang, Haihua Gu, Qi Wang, Song Zhang, & Yanjun Zeng. (2008). Pre‐eclampsia outcomes in different hemodynamic models. Journal of obstetrics and gynaecology research. 34(2). 179–188. 11 indexed citations
15.
Yu, Min, et al.. (2006). Scaffolding Adapter Grb2-Associated Binder 2 Requires Syk to Transmit Signals from FcεRI. The Journal of Immunology. 176(4). 2421–2429. 73 indexed citations
16.
Bentires‐Alj, Mohamed, Susana G. Gil, Richard Chan, et al.. (2005). A role for the scaffolding adapter GAB2 in breast cancer. Nature Medicine. 12(1). 114–121. 159 indexed citations
17.
Bjørbæk, Christian, Sarah M. Davis, Sarah H. Bates, et al.. (2001). Divergent Roles of SHP-2 in ERK Activation by Leptin Receptors. Journal of Biological Chemistry. 276(7). 4747–4755. 296 indexed citations
18.
Pratt, Joanne C., Vivien Igras, Hiroyuki Maeda, et al.. (2000). Cutting Edge: Gab2 Mediates an Inhibitory Phosphatidylinositol 3′-Kinase Pathway in T Cell Antigen Receptor Signaling. The Journal of Immunology. 165(8). 4158–4163. 55 indexed citations
19.
Timms, John F., Kristen Carlberg, Haihua Gu, et al.. (1998). Identification of Major Binding Proteins and Substrates for the SH2-Containing Protein Tyrosine Phosphatase SHP-1 in Macrophages. Molecular and Cellular Biology. 18(7). 3838–3850. 172 indexed citations
20.
Gu, Haihua & Noëlynn Oliver. (1995). Transcriptional Repression of Fibronectin Gene Expression in v-src Transformation. Experimental Cell Research. 217(2). 428–439. 9 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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