Baoxiang Guan

1.5k total citations
20 papers, 1.1k citations indexed

About

Baoxiang Guan is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Baoxiang Guan has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Baoxiang Guan's work include Inflammatory mediators and NSAID effects (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cell death mechanisms and regulation (3 papers). Baoxiang Guan is often cited by papers focused on Inflammatory mediators and NSAID effects (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cell death mechanisms and regulation (3 papers). Baoxiang Guan collaborates with scholars based in United States, China and Sweden. Baoxiang Guan's co-authors include Padmanee Sharma, Shi‐Yong Sun, Ping Yue, Sumit K. Subudhi, Shiping Jiao, Yuji Miura, Zhongqi Ge, Xiaochun Xu, Ana M. Aparicio and Ashraful Hoque and has published in prestigious journals such as Cell, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Baoxiang Guan

19 papers receiving 1.1k citations

Peers

Baoxiang Guan

ONCOL

IMMUN

PRM

Yun Hee Kang South Korea

Xiongyan Wu China

Clara Campàs Spain

Masayuki Nagahashi Japan

Fang Xiong China

Fabiana Conciatori Italy

Lilach Kleinberg Norway

Shingo Eikawa Japan

Toshiyuki Tenjo Japan

Xiang Long China

Yun Hee Kang South Korea

Baoxiang Guan

535 ×0.9

332 ×0.6

ONCOL

258 ×0.8

IMMUN

212 ×0.7

115 ×0.7

PRM

Citations per year, relative to Baoxiang Guan Baoxiang Guan (= 1×) peers Yun Hee Kang

Countries citing papers authored by Baoxiang Guan

Since Specialization

Citations

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

Fields of papers citing papers by Baoxiang Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoxiang Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Baoxiang Guan. A scholar is included among the top collaborators of Baoxiang Guan 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 Baoxiang Guan. Baoxiang Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Herbrich, Shelley M., Mehdi Chaib, Swetha Anandhan, et al.. (2025). TET2-mutant clonal hematopoiesis enhances macrophage antigen presentation and improves immune checkpoint therapy in solid tumors. Cancer Cell. 44(1). 187–202.e7.

Anandhan, Swetha, Shelley M. Herbrich, Sangeeta Goswami, et al.. (2024). TSG-6+ cancer-associated fibroblasts modulate myeloid cell responses and impair anti-tumor response to immune checkpoint therapy in pancreatic cancer. Nature Communications. 15(1). 5291–5291. 8 indexed citations

Goswami, Sangeeta, Yulong Chen, Swetha Anandhan, et al.. (2021). Combinatorial biomarkers to predict responses to immune checkpoint therapy in metastatic urothelial cancer.. Journal of Clinical Oncology. 39(6_suppl). 488–488. 1 indexed citations

Goswami, Sangeeta, Yulong Chen, Swetha Anandhan, et al.. (2020). ARID1A mutation plus CXCL13 expression act as combinatorial biomarkers to predict responses to immune checkpoint therapy in mUCC. Science Translational Medicine. 12(548). 92 indexed citations

Shi, Lewis Z., Sangeeta Goswami, Tihui Fu, et al.. (2019). Blockade of CTLA-4 and PD-1 Enhances Adoptive T-cell Therapy Efficacy in an ICOS-Mediated Manner. Cancer Immunology Research. 7(11). 1803–1812. 35 indexed citations

Jiao, Shiping, Sumit K. Subudhi, Ana M. Aparicio, et al.. (2019). Differences in Tumor Microenvironment Dictate T Helper Lineage Polarization and Response to Immune Checkpoint Therapy. Cell. 179(5). 1177–1190.e13. 277 indexed citations

Shi, Lewis Z., Tihui Fu, Baoxiang Guan, et al.. (2016). Interdependent IL-7 and IFN-γ signalling in T-cell controls tumour eradication by combined α-CTLA-4+α-PD-1 therapy. Nature Communications. 7(1). 12335–12335. 81 indexed citations

Zhang, Songlin, Min Li, Baoxiang Guan, & Robert Brown. (2015). Abstract P2-06-08: SIRT1 inhibitors significantly reduce cancer stem cells and block epithelial mesenchymal transformation in breast cancer cells. Cancer Research. 75(9_Supplement). P2–6. 2 indexed citations

Guan, Baoxiang, A.T.M. Shamsul Hoque, & Xiaochun Xu. (2014). Amiloride and guggulsterone suppression of esophageal cancer cell growth in vitro and in nude mouse xenografts. Frontiers in Biology. 9(1). 75–81. 21 indexed citations

10.

Yang, Zhengduo, Baoxiang Guan, Taoyan Men, Junya Fujimoto, & Xiaochun Xu. (2014). Comparable molecular alterations in 4-nitroquinoline 1-oxide-induced oral and esophageal cancer in mice and in human esophageal cancer, associated with poor prognosis of patients.. PubMed. 27(4). 473–84. 31 indexed citations

11.

Ren, Hui, Junghui Koo, Baoxiang Guan, et al.. (2013). The E3 ubiquitin ligases β-TrCP and FBXW7 cooperatively mediates GSK3-dependent Mcl-1 degradation induced by the Akt inhibitor API-1, resulting in apoptosis. Molecular Cancer. 12(1). 146–146. 65 indexed citations

12.

Guan, Baoxiang, Hao Li, Zhengduo Yang, Ashraful Hoque, & Xiaochun Xu. (2012). Inhibition of farnesoid X receptor controls esophageal cancer cell growth in vitro and in nude mouse xenografts. Cancer. 119(7). 1321–1329. 61 indexed citations

13.

Zhang, Guihong, et al.. (2011). Tumor-suppressor activity of RRIG1 in breast cancer. BMC Cancer. 11(1). 32–32. 5 indexed citations

14.

Hu, Yuxin, Arlene M. Correa, Ashraful Hoque, et al.. (2010). Prognostic significance of differentially expressed miRNAs in esophageal cancer. International Journal of Cancer. 128(1). 132–143. 143 indexed citations

15.

Song, Shumei, Baoxiang Guan, Taoyan Men, et al.. (2009). Antitumor Effect of Retinoic Acid Receptor-β2 Associated with Suppression of Cyclooxygenase-2. Cancer Prevention Research. 2(3). 274–280. 6 indexed citations

16.

Guan, Baoxiang, Hao Li, Yulong Chen, Ashraful Hoque, & Xiao Xu. (2009). Characterization of retinoid receptor-induced gene-1 gene and its relationship to SH3 domain GRB2-like endophilin B2 gene. 5(1). 15–19. 1 indexed citations

17.

Shureiqi, Imad, Xiangsheng Zuo, Russell R. Broaddus, et al.. (2006). The transcription factor GATA‐6 is overexpressed in vivo and contributes to silencing 15‐LOX‐1 in vitro in human colon cancer. The FASEB Journal. 21(3). 743–753. 50 indexed citations

18.

Shureiqi, Imad, Yuanqing Wu, Dongning Chen, et al.. (2005). The Critical Role of 15-Lipoxygenase-1 in Colorectal Epithelial Cell Terminal Differentiation and Tumorigenesis. Cancer Research. 65(24). 11486–11492. 78 indexed citations

19.

Guan, Baoxiang, Ping Yue, Reuben Lotan, & Shi‐Yong Sun. (2002). Evidence that the human death receptor 4 is regulated by activator protein 1. Oncogene. 21(20). 3121–3129. 58 indexed citations

20.

Guan, Baoxiang, Ping Yue, Gary L. Clayman, & Shi‐Yong Sun. (2001). Evidence that the death receptor DR4 is a DNA damage‐inducible, p53‐regulated gene. Journal of Cellular Physiology. 188(1). 98–105. 113 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.

Explore authors with similar magnitude of impact