Bo Huang

15.3k total citations · 7 hit papers
144 papers, 8.6k citations indexed

About

Bo Huang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Bo Huang has authored 144 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Immunology, 45 papers in Molecular Biology and 35 papers in Oncology. Recurrent topics in Bo Huang's work include Immune Cell Function and Interaction (28 papers), Immune cells in cancer (18 papers) and Immunotherapy and Immune Responses (16 papers). Bo Huang is often cited by papers focused on Immune Cell Function and Interaction (28 papers), Immune cells in cancer (18 papers) and Immunotherapy and Immune Responses (16 papers). Bo Huang collaborates with scholars based in China, United States and Canada. Bo Huang's co-authors include Ke Tang, Jonathan S. Bromberg, David T. Levy, Alice I. Sato, Shu‐Hsia Chen, Qingsheng Li, Celia M. Divino, Ping‐Ying Pan, Yi Zhang and Jingwei Ma and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Bo Huang

133 papers receiving 8.4k citations

Hit Papers

Gr-1+CD115+ Immature Myeloid Suppressor Cells Mediate the... 2006 2026 2012 2019 2006 2020 2020 2021 2024 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Huang China 48 3.5k 2.9k 2.1k 1.1k 919 144 8.6k
Yu L. Lei United States 40 3.9k 1.1× 3.6k 1.2× 1.6k 0.7× 665 0.6× 496 0.5× 92 7.9k
Lorenzo Piemonti Italy 60 3.9k 1.1× 3.4k 1.2× 2.7k 1.3× 853 0.8× 708 0.8× 290 13.5k
Fangfang Zhou China 53 1.7k 0.5× 6.2k 2.1× 1.5k 0.7× 1.8k 1.7× 1.1k 1.2× 221 10.1k
Ming Li China 55 2.0k 0.6× 4.4k 1.5× 1.4k 0.7× 1.4k 1.3× 1.1k 1.2× 387 10.0k
Tingbo Liang China 49 1.8k 0.5× 3.0k 1.0× 2.6k 1.2× 1.5k 1.4× 632 0.7× 306 8.1k
Peter J. Nelson Germany 67 4.6k 1.3× 4.8k 1.6× 3.9k 1.8× 1.7k 1.6× 429 0.5× 252 13.8k
Wei Zhao China 47 2.8k 0.8× 4.4k 1.5× 1.1k 0.5× 1.3k 1.2× 781 0.8× 211 8.0k
Dermot Kelleher Ireland 56 2.4k 0.7× 2.4k 0.8× 1.5k 0.7× 624 0.6× 658 0.7× 228 9.9k
Ellen M. Gravallese United States 56 2.8k 0.8× 5.5k 1.9× 2.5k 1.2× 1.3k 1.2× 888 1.0× 142 12.2k
Sin‐Hyeog Im South Korea 50 2.7k 0.8× 3.4k 1.1× 1.0k 0.5× 617 0.6× 539 0.6× 181 8.5k

Countries citing papers authored by Bo Huang

Since Specialization
Citations

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

Fields of papers citing papers by Bo Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Huang. A scholar is included among the top collaborators of Bo Huang 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 Bo Huang. Bo Huang 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.
Zhou, Li, Dongxiao Wu, Yabo Zhou, et al.. (2025). Heterozygous human JAK2V617F activates AhR to drive essential thrombocythemia and promote thrombosis. The Journal of Experimental Medicine. 222(12).
2.
Li, Xin, et al.. (2024). Uric acid in diabetic microvascular complications: Mechanisms and therapy. Journal of Diabetes and its Complications. 39(2). 108929–108929. 3 indexed citations
4.
Huang, Bo, et al.. (2023). Mechanism of TCF21 Downregulation Leading to Immunosuppression of Tumor-Associated Macrophages in Non-Small Cell Lung Cancer. Pharmaceutics. 15(9). 2295–2295. 9 indexed citations
5.
Lv, Xiaoxi, Shanshan Liu, Chang Liu, et al.. (2023). TRIB3 promotes pulmonary fibrosis through inhibiting SLUG degradation by physically interacting with MDM2. Acta Pharmaceutica Sinica B. 13(4). 1631–1647. 13 indexed citations
6.
Zhou, Li, Dongxiao Wu, Yabo Zhou, et al.. (2023). Tumor cell-released kynurenine biases MEP differentiation into megakaryocytes in individuals with cancer by activating AhR–RUNX1. Nature Immunology. 24(12). 2042–2052. 20 indexed citations
7.
Tang, Ke, Liyan Zhu, Jie Chen, et al.. (2021). Hypoxia Promotes Breast Cancer Cell Growth by Activating a Glycogen Metabolic Program. Cancer Research. 81(19). 4949–4963. 75 indexed citations
8.
Liu, Yuying, Tianzhen Zhang, Haizeng Zhang, et al.. (2020). Cell Softness Prevents Cytolytic T-cell Killing of Tumor-Repopulating Cells. Cancer Research. 81(2). 476–488. 88 indexed citations
9.
Zhang, Huafeng, Jingwei Ma, Ke Tang, & Bo Huang. (2020). Beyond energy storage: roles of glycogen metabolism in health and disease. FEBS Journal. 288(12). 3772–3783. 43 indexed citations
10.
Wang, Lijing, et al.. (2020). Risk Stratification Based on Metastatic Pelvic Lymph Node Status in Stage IIIC1p Cervical Cancer. SHILAP Revista de lepidopterología.
11.
Shen, Shiqian, Grewo Lim, Zerong You, et al.. (2017). Gut microbiota is critical for the induction of chemotherapy-induced pain. Nature Neuroscience. 20(9). 1213–1216. 218 indexed citations
13.
Li, Ran, Yanchun Li, Huafeng Zhang, et al.. (2016). Delivery of oncolytic adenovirus into the nucleus of tumorigenic cells by tumor microparticles for virotherapy. Biomaterials. 89. 56–66. 85 indexed citations
14.
Xin, Xin, Zhen Liu, Hao Li, et al.. (2016). Propofol inhibits T-helper cell type-2 differentiation by inducing apoptosis via activating gamma-aminobutyric acid receptor. Journal of Surgical Research. 206(2). 442–450. 10 indexed citations
15.
Liu, Jing, Youhua Tan, Huafeng Zhang, et al.. (2012). Soft fibrin gels promote selection and growth of tumorigenic cells. Nature Materials. 11(8). 734–741. 384 indexed citations
16.
Ye, Zhijian, Qiong Zhou, Mingli Yuan, et al.. (2011). Differentiation and Recruitment of IL-22–Producing Helper T Cells Stimulated by Pleural Mesothelial Cells in Tuberculous Pleurisy. American Journal of Respiratory and Critical Care Medicine. 185(6). 660–669. 47 indexed citations
17.
Liu, Jing, Yi Zhang, Jie Zhao, et al.. (2011). Mast cell: insight into remodeling a tumor microenvironment. Cancer and Metastasis Reviews. 30(2). 177–184. 65 indexed citations
18.
Zhao, Jie, Yuchun Cao, Lei Zhang, et al.. (2010). Selective Depletion of CD4+CD25+Foxp3+ Regulatory T Cells by Low-Dose Cyclophosphamide Is Explained by Reduced Intracellular ATP Levels. Cancer Research. 70(12). 4850–4858. 175 indexed citations
19.
Huang, Bo, Lei Zhang, Guimei Zhang, et al.. (2008). SCF-mediated mast cell infiltration and activation exacerbate the inflammation and immunosuppression in tumor microenvironment. Blood. 112(4). 1269–1279. 259 indexed citations
20.
Song, Chuanwang, Liqiong Luo, Lei Zhang, et al.. (2008). IL-17-Producing Alveolar Macrophages Mediate Allergic Lung Inflammation Related to Asthma. The Journal of Immunology. 181(9). 6117–6124. 245 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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