Weibo Luo

9.6k total citations · 4 hit papers
85 papers, 7.4k citations indexed

About

Weibo Luo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Weibo Luo has authored 85 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 42 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Weibo Luo's work include Cancer, Hypoxia, and Metabolism (35 papers), Mitochondrial Function and Pathology (12 papers) and RNA modifications and cancer (10 papers). Weibo Luo is often cited by papers focused on Cancer, Hypoxia, and Metabolism (35 papers), Mitochondrial Function and Pathology (12 papers) and RNA modifications and cancer (10 papers). Weibo Luo collaborates with scholars based in United States, China and Germany. Weibo Luo's co-authors include Gregg L. Semenza, Yingfei Wang, Hongxia Hu, Akhilesh Pandey, Jun Zhong, Georg Reiser, Robert N. Cole, Robert N. O’Meally, Daniele M. Gilkes and Matthew Knabel and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Weibo Luo

83 papers receiving 7.3k citations

Hit Papers

Control of TH17/Treg Balance by Hypoxia-Inducible Factor 1 2011 2026 2016 2021 2011 2011 2014 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weibo Luo United States 37 4.2k 3.3k 1.5k 1.1k 568 85 7.4k
Giovanni Melillo United States 44 4.1k 1.0× 3.3k 1.0× 1.5k 1.0× 2.1k 1.8× 689 1.2× 102 7.9k
Bart Ghesquière Belgium 41 3.9k 0.9× 1.7k 0.5× 1.5k 1.0× 719 0.6× 651 1.1× 106 6.6k
David R. Plas United States 35 5.6k 1.3× 3.0k 0.9× 2.6k 1.7× 1.7k 1.5× 719 1.3× 64 8.9k
Yun‐Sil Lee South Korea 44 5.6k 1.3× 2.8k 0.8× 924 0.6× 989 0.9× 673 1.2× 174 8.4k
Chao Lü United States 40 5.5k 1.3× 3.0k 0.9× 720 0.5× 1.0k 0.9× 399 0.7× 112 8.4k
Shigeki Miyamoto United States 42 5.1k 1.2× 3.9k 1.2× 3.0k 1.9× 2.1k 1.9× 453 0.8× 157 8.8k
Juan Miguel Redondo Spain 51 3.8k 0.9× 1.1k 0.3× 1.4k 0.9× 875 0.8× 617 1.1× 135 6.7k
Qiang Yu Singapore 55 6.0k 1.4× 1.9k 0.6× 776 0.5× 1.9k 1.6× 302 0.5× 139 8.4k
Hirotoshi Tanaka Japan 46 4.2k 1.0× 1.9k 0.6× 1.0k 0.7× 1.2k 1.0× 1.0k 1.8× 175 8.0k
David H. Hawke United States 48 7.4k 1.8× 2.7k 0.8× 878 0.6× 1.7k 1.5× 432 0.8× 134 9.9k

Countries citing papers authored by Weibo Luo

Since Specialization
Citations

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

Fields of papers citing papers by Weibo Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weibo Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Weibo Luo. A scholar is included among the top collaborators of Weibo Luo 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 Weibo Luo. Weibo Luo 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.
Wang, Yong, Lei Bao, Gonçalo Vale, et al.. (2025). ZMYND8 drives HER2 antibody resistance in breast cancer via lipid control of IL-27. Nature Communications. 16(1). 3908–3908. 3 indexed citations
2.
Zhou, Mi, Shuiqiao Liu, Bo Zhang, et al.. (2025). AIF3 splicing variant elicits mitochondrial malfunction via the concurrent dysregulation of electron transport chain and glutathione-redox homeostasis. Nature Communications. 16(1). 1804–1804. 4 indexed citations
4.
Zhang, Bo, Hui Peng, Mi Zhou, et al.. (2022). Targeting BCAT1 Combined with α-Ketoglutarate Triggers Metabolic Synthetic Lethality in Glioblastoma. Cancer Research. 82(13). 2388–2402. 36 indexed citations
5.
Yang, Mingming, Chenliang Wang, Mi Zhou, et al.. (2022). KDM6B promotes PARthanatos via suppression of O6-methylguanine DNA methyltransferase repair and sustained checkpoint response. Nucleic Acids Research. 50(11). 6313–6331. 11 indexed citations
6.
Liu, Shuiqiao, Weibo Luo, & Yingfei Wang. (2021). Emerging role of PARP‐1 and PARthanatos in ischemic stroke. Journal of Neurochemistry. 160(1). 74–87. 66 indexed citations
7.
Wang, Yijie, Yan Chen, Chenliang Wang, et al.. (2021). MIF is a 3’ flap nuclease that facilitates DNA replication and promotes tumor growth. Nature Communications. 12(1). 2954–2954. 31 indexed citations
8.
Ruan, Zhi, Jennifer E. Wang, Mi Zhou, et al.. (2021). MIF promotes neurodegeneration and cell death via its nuclease activity following traumatic brain injury. Cellular and Molecular Life Sciences. 79(1). 39–39. 14 indexed citations
9.
Wang, Yong, Yan Chen, Yijie Wang, et al.. (2020). ZMYND8 Expression in Breast Cancer Cells Blocks T-Lymphocyte Surveillance to Promote Tumor Growth. Cancer Research. 81(1). 174–186. 15 indexed citations
10.
Wang, Yijie, Yan Chen, Lei Bao, et al.. (2020). CHD4 Promotes Breast Cancer Progression as a Coactivator of Hypoxia-Inducible Factors. Cancer Research. 80(18). 3880–3891. 45 indexed citations
11.
Peng, Hui, Yingfei Wang, & Weibo Luo. (2020). Multifaceted role of branched-chain amino acid metabolism in cancer. Oncogene. 39(44). 6747–6756. 147 indexed citations
12.
Chen, Yan, Bo Zhang, Lei Bao, et al.. (2018). ZMYND8 acetylation mediates HIF-dependent breast cancer progression and metastasis. Journal of Clinical Investigation. 128(5). 1937–1955. 128 indexed citations
13.
Luo, Weibo, Ivan Chen, Yan Chen, et al.. (2016). PRDX2 and PRDX4 are negative regulators of hypoxia-inducible factors under conditions of prolonged hypoxia. Oncotarget. 7(6). 6379–6397. 31 indexed citations
14.
Wang, Ting, Daniele M. Gilkes, Naoharu Takano, et al.. (2014). Hypoxia-inducible factors and RAB22A mediate formation of microvesicles that stimulate breast cancer invasion and metastasis. Proceedings of the National Academy of Sciences. 111(31). E3234–42. 412 indexed citations breakdown →
15.
Hu, Hongxia, Naoharu Takano, Lisha Xiang, et al.. (2014). Hypoxia-inducible factors enhance glutamate signaling in cancer cells. Oncotarget. 5(19). 8853–8868. 58 indexed citations
16.
Chapiro, Julius, Surojit Sur, Lynn Jeanette Savic, et al.. (2014). Systemic Delivery of Microencapsulated 3-Bromopyruvate for the Therapy of Pancreatic Cancer. Clinical Cancer Research. 20(24). 6406–6417. 48 indexed citations
17.
Takano, Naoharu, Yingjie Peng, Ganesh Kumar, et al.. (2013). Hypoxia-inducible factors regulate human and rat cystathionine β-synthase gene expression. Biochemical Journal. 458(2). 203–211. 36 indexed citations
18.
Chaturvedi, Pallavi, Daniele M. Gilkes, Carmen Chak‐Lui Wong, et al.. (2012). Hypoxia-inducible factor–dependent breast cancer–mesenchymal stem cell bidirectional signaling promotes metastasis. Journal of Clinical Investigation. 123(1). 189–205. 214 indexed citations
19.
Hubbi, Maimon E., Weibo Luo, Jin Hyen Baek, & Gregg L. Semenza. (2011). MCM Proteins Are Negative Regulators of Hypoxia-Inducible Factor 1. Molecular Cell. 42(5). 700–712. 73 indexed citations
20.
Luo, Weibo, Yingfei Wang, & Georg Reiser. (2005). Two types of protease-activated receptors (PAR-1 and PAR-2) mediate calcium signaling in rat retinal ganglion cells RGC-5. Brain Research. 1047(2). 159–167. 21 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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