Hongbing Zhang

12.7k total citations · 4 hit papers
197 papers, 9.2k citations indexed

About

Hongbing Zhang is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Hongbing Zhang has authored 197 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 37 papers in Physiology and 33 papers in Oncology. Recurrent topics in Hongbing Zhang's work include PI3K/AKT/mTOR signaling in cancer (29 papers), Tuberous Sclerosis Complex Research (27 papers) and Cancer, Hypoxia, and Metabolism (12 papers). Hongbing Zhang is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (29 papers), Tuberous Sclerosis Complex Research (27 papers) and Cancer, Hypoxia, and Metabolism (12 papers). Hongbing Zhang collaborates with scholars based in China, United States and United Kingdom. Hongbing Zhang's co-authors include Allan Bradley, David J. Kwiatkowski, Ying Wang, Hiroaki Onda, Thomas P. Neufeld, Christoph Reinhard, Gregor Cicchetti, Francisca Vázquez, Christopher L. Carpenter and Henry Koon and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Hongbing Zhang

186 papers receiving 9.0k citations

Hit Papers

Mice deficient for BMP2 a... 1996 2026 2006 2016 1996 2000 2019 2024 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
Hongbing Zhang China 49 5.6k 1.6k 1.5k 1.4k 1.1k 197 9.2k
Andrew R. Tee United Kingdom 39 6.6k 1.2× 970 0.6× 860 0.6× 1.5k 1.1× 917 0.9× 69 9.1k
Leon O. Murphy United States 25 6.6k 1.2× 1.4k 0.9× 1.2k 0.8× 993 0.7× 952 0.9× 31 9.3k
Alejo Efeyan Spain 24 6.0k 1.1× 1.1k 0.7× 1.4k 0.9× 1.9k 1.3× 1.2k 1.1× 49 9.5k
Hirotoshi Tanaka Japan 46 4.2k 0.7× 1.9k 1.2× 1.2k 0.8× 1.0k 0.7× 1.0k 1.0× 175 8.0k
Isabel Fabregat Spain 53 4.8k 0.9× 1.4k 0.9× 2.4k 1.6× 735 0.5× 1.1k 1.0× 168 8.8k
Yuichi Oike Japan 69 6.5k 1.2× 2.5k 1.6× 2.2k 1.5× 1.8k 1.3× 1.4k 1.3× 211 13.1k
Manuel Collado Spain 34 5.8k 1.0× 1.4k 0.9× 2.4k 1.6× 3.2k 2.3× 1.5k 1.4× 78 9.2k
Renhai Cao Sweden 50 5.7k 1.0× 2.8k 1.7× 3.2k 2.2× 1.4k 1.0× 915 0.9× 60 10.1k
Thomas Boettger Germany 45 5.4k 1.0× 2.2k 1.4× 877 0.6× 839 0.6× 613 0.6× 98 8.1k
Richard N. Kitsis United States 54 7.4k 1.3× 1.1k 0.7× 963 0.6× 1.3k 0.9× 900 0.8× 114 11.5k

Countries citing papers authored by Hongbing Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Hongbing Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbing Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbing Zhang. A scholar is included among the top collaborators of Hongbing Zhang 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 Hongbing Zhang. Hongbing Zhang 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.
Lv, Jiacheng, Xinyu Zhang, Lin‐Yan Wan, et al.. (2025). Pifithrin-μ sensitizes mTOR-activated liver cancer to sorafenib treatment. Cell Death and Disease. 16(1). 42–42. 2 indexed citations
2.
Lu, Xihong, et al.. (2025). Liposome stability: multifactorial regulation and optimization strategies in in vivo delivery. Journal of Liposome Research. 35(4). 607–618.
3.
Zhong, Chuan‐Qi, Kai Huang, Zusen Fan, et al.. (2025). RIPK1 S161 phosphorylation promotes further autophosphorylation and cecal necroptosis in TNF-treated mice. The Journal of Experimental Medicine. 222(12). 2 indexed citations
4.
Lin, Sufang, Qiru Su, Xiaoxiang Tian, et al.. (2025). Prospective study of safety, immunogenicity, and efficacy of inactivated COVID-19 vaccine in tuberous sclerosis complex children on sirolimus. Human Vaccines & Immunotherapeutics. 21(1). 2535120–2535120.
5.
Huang, Fuqiang, Jing Guo, Na Zhao, et al.. (2024). PTEN deficiency potentiates HBV-associated liver cancer development through augmented GP73/GOLM1. Journal of Translational Medicine. 22(1). 254–254. 4 indexed citations
8.
Liu, Zhaoxiang, Jiangfeng Mao, Hongli Xu, et al.. (2019). Gonadotropin-Induced Spermatogenesis in CHH Patients with Cryptorchidism. International Journal of Endocrinology. 2019. 1–6. 16 indexed citations
9.
Sun, Qian, Yanan Wang, Haiyong Peng, et al.. (2018). Phosphoglyceric acid mutase-1 contributes to oncogenic mTOR-mediated tumor growth and confers non-small cell lung cancer patients with poor prognosis. Cell Death and Differentiation. 25(6). 1160–1173. 58 indexed citations
10.
He, Jing, Lan Kang, Tong Wu, et al.. (2012). An Elaborate Regulation of Mammalian Target of Rapamycin Activity Is Required for Somatic Cell Reprogramming Induced by Defined Transcription Factors. Stem Cells and Development. 21(14). 2630–2641. 43 indexed citations
11.
Chen, Tong, Fei Yan, Jiaming Qian, et al.. (2011). Randomized Phase II Trial of Lyophilized Strawberries in Patients with Dysplastic Precancerous Lesions of the Esophagus. Cancer Prevention Research. 5(1). 41–50. 64 indexed citations
12.
Zha, Xiaojun, Fang Wang, Ying Wang, et al.. (2011). Lactate Dehydrogenase B Is Critical for Hyperactive mTOR-Mediated Tumorigenesis. Cancer Research. 71(1). 13–18. 131 indexed citations
13.
Zhang, Hongbing. (2011). Clinical efficacy of the Qubai Babuqi Tablets in the treatment of vitiligo. 2 indexed citations
14.
Zhang, Hongbing. (2008). Senescence is a defensive mechasim against oncogene-induced tumorigenesis. 1 indexed citations
15.
Zhang, Hongbing, Kevin P. Baker, Ali Sadra, et al.. (2007). FP-1039 (FGFR1:Fc), a soluble FGFR1 receptor antagonist, inhibits tumor growth and angiogenesis. Molecular Cancer Therapeutics. 6. 11 indexed citations
16.
Li, Bing-Zong, Mingxia Shi, Jing Li, et al.. (2007). Elevated Tumor Necrosis Factor- α Suppresses TAZ Expression and Impairs Osteogenic Potential of Flk-1 + Mesenchymal Stem Cells in Patients with Multiple Myeloma. Stem Cells and Development. 16(6). 921–930. 58 indexed citations
17.
Zhang, Hongbing, et al.. (2004). Perturbed IFN-γ-Jak-Signal Transducers and Activators of Transcription Signaling in Tuberous Sclerosis Mouse Models. Cancer Research. 64(10). 3436–3443. 48 indexed citations
18.
Zhang, Hongbing, et al.. (2003). Mutation in TSC2 and activation of mammalian target of rapamycin signalling pathway in renal angiomyolipoma. The Lancet. 361(9366). 1348–1349. 160 indexed citations
19.
Zhang, Hongbing, et al.. (2000). Seven-years follow-up on trial of Interferon alpha in patients with HCV RNA positive chronic hepatitis C. World Journal of Gastroenterology. 6. 114–114. 3 indexed citations
20.
Zhang, Hongbing, et al.. (1998). BRCA1, BRCA2, and DNA Damage Response: Collision or Collusion?. Cell. 92(4). 433–436. 105 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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