Wen-Jun Chai

876 total citations · 1 hit paper
15 papers, 509 citations indexed

About

Wen-Jun Chai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Wen-Jun Chai has authored 15 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Wen-Jun Chai's work include Cancer Immunotherapy and Biomarkers (4 papers), Ferroptosis and cancer prognosis (4 papers) and RNA modifications and cancer (4 papers). Wen-Jun Chai is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Ferroptosis and cancer prognosis (4 papers) and RNA modifications and cancer (4 papers). Wen-Jun Chai collaborates with scholars based in China, United States and France. Wen-Jun Chai's co-authors include Yi‐Zhou Jiang, Yu‐Chen Pei, Linwei Guo, Peng Ji, Yue Gong, Ming‐Liang Jin, Xin Hu, Da‐Qiang Li, Yi Xiao and Tian‐Jian Yu and has published in prestigious journals such as Nature Medicine, Cell Metabolism and Oncogene.

In The Last Decade

Wen-Jun Chai

14 papers receiving 506 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metabolic-Pathway-Based Subtyping of Triple-Negative Breast Cancer Reveals Potential Therapeutic Targets

2020 296 citations Yue Gong, Peng Ji et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen-Jun Chai China	8	278	212	200	115	113	15	509
Linwei Guo China	7	276 1.0×	221 1.0×	175 0.9×	78 0.7×	117 1.0×	10	468
Yu‐Chen Pei China	9	300 1.1×	228 1.1×	158 0.8×	69 0.6×	100 0.9×	14	502
Jin-Zhi Xu China	9	205 0.7×	152 0.7×	225 1.1×	70 0.6×	72 0.6×	10	426
Chengsen Chai China	9	385 1.4×	138 0.7×	160 0.8×	110 1.0×	68 0.6×	10	561
Kamil J. Synoradzki Poland	7	260 0.9×	149 0.7×	109 0.5×	40 0.3×	117 1.0×	10	449
Linara Gabitova United States	8	172 0.6×	165 0.8×	131 0.7×	61 0.5×	46 0.4×	18	387
Marco Seehawer United States	6	242 0.9×	152 0.7×	144 0.7×	97 0.8×	94 0.8×	8	512
Johanna Wagner Germany	4	392 1.4×	171 0.8×	356 1.8×	295 2.6×	65 0.6×	6	702
Alberto Cruz‐Bermúdez Spain	12	328 1.2×	240 1.1×	151 0.8×	45 0.4×	125 1.1×	20	507

Countries citing papers authored by Wen-Jun Chai

Since Specialization

Citations

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

Fields of papers citing papers by Wen-Jun Chai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Jun Chai. 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 Wen-Jun Chai. The network helps show where Wen-Jun Chai may publish in the future.

Co-authorship network of co-authors of Wen-Jun Chai

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

All Works

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15 of 15 papers shown

Jin, Xi, Yin Liu, Zi-Yu Wang, et al.. (2025). Mobilizing antigen-presenting mast cells in anti-PD-1-refractory triple-negative breast cancer: a phase 2 trial. Nature Medicine. 31(7). 2405–2415. 3 indexed citations

Chai, Wen-Jun, et al.. (2025). Barriers to Medical Care Are Frequently Reported by Patients With Cirrhosis. Alimentary Pharmacology & Therapeutics. 63(8). 1162–1168.

Pan, Hongyu, Li Liao, Wen-Jun Chai, et al.. (2024). RBIS regulates ribosome biogenesis to affect progression in lung adenocarcinoma. Journal of Translational Medicine. 22(1). 1147–1147. 1 indexed citations

Chai, Wen-Jun, et al.. (2024). KLRB1 expression is associated with lung adenocarcinoma prognosis and immune infiltration and regulates lung adenocarcinoma cell proliferation and metastasis through the MAPK/ERK pathway. Journal of Thoracic Disease. 16(6). 3764–3781. 1 indexed citations

Wang, Bingnan, Wen-Jun Chai, Mingxia Yan, et al.. (2024). Single-cell landscape of undifferentiated pleomorphic sarcoma. Oncogene. 43(18). 1353–1368. 5 indexed citations

Liu, Xiaoli, Yangdong Liu, Wen-Jun Chai, et al.. (2023). CDK12 loss inhibits cell proliferation by regulating TBK1 in non-small cell lung cancer cells. Molecular and Cellular Probes. 71. 101923–101923. 2 indexed citations

Wu, Song‐Yang, Ding Ma, Yi Xiao, et al.. (2023). CCL19+ dendritic cells potentiate clinical benefit of anti-PD-(L)1 immunotherapy in triple-negative breast cancer. Med. 4(6). 373–393.e8. 27 indexed citations

Sun, Hui, Shaobo Liu, Shengwen Lu, et al.. (2022). Targets and Effective Constituents of ZhiziBaipi Decoction for Treating Damp-Heat Jaundice Syndrome Based on Chinmedomics Coupled with UPLC-MS/MS. Frontiers in Pharmacology. 13. 857361–857361. 13 indexed citations

Wu, Song‐Yang, Ying Xu, Li Chen, et al.. (2022). Combined angiogenesis and PD-1 inhibition for immunomodulatory TNBC: concept exploration and biomarker analysis in the FUTURE-C-Plus trial. Molecular Cancer. 21(1). 84–84. 65 indexed citations

10.

Ji, Peng, Yue Gong, Ming‐Liang Jin, et al.. (2022). In vivo multidimensional CRISPR screens identify Lgals2 as an immunotherapy target in triple-negative breast cancer. Science Advances. 8(26). eabl8247–eabl8247. 56 indexed citations

11.

Chai, Wen-Jun, et al.. (2021). DYNC1H1 regulates NSCLC cell growth and metastasis by IFN-γ-JAK-STAT signaling and is associated with an aberrant immune response. Experimental Cell Research. 409(1). 112897–112897. 8 indexed citations

12.

Pan, Hongyu, et al.. (2020). LncRNA FENDRR-mediated tumor suppression and tumor-immune microenvironment changes in non-small cell lung cancer. Translational Cancer Research. 9(6). 3946–3959. 16 indexed citations

13.

Gong, Yue, Peng Ji, Yun‐Song Yang, et al.. (2020). Metabolic-Pathway-Based Subtyping of Triple-Negative Breast Cancer Reveals Potential Therapeutic Targets. Cell Metabolism. 33(1). 51–64.e9. 296 indexed citations breakdown →

14.

Zhu, Xiaoqiang, Hechun Lin, Fangyu Zhao, et al.. (2020). A new risk model comprising genes highly correlated with CD133 identifies different tumor-immune microenvironment subtypes impacting prognosis in hepatocellular carcinoma. Aging. 12(12). 12234–12250. 9 indexed citations

15.

Chai, Wen-Jun, et al.. (1990). A case of cerebral aspergillosis caused by Aspergillus nidulans. Clinical, pathologic and mycologic identifications.. PubMed. 103(6). 518–22. 7 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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