Xuejin Ou

1.6k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

Xuejin Ou is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Genetics. According to data from OpenAlex, Xuejin Ou has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Oncology and 3 papers in Genetics. Recurrent topics in Xuejin Ou's work include Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (9 papers) and Medical Imaging Techniques and Applications (3 papers). Xuejin Ou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (9 papers) and Medical Imaging Techniques and Applications (3 papers). Xuejin Ou collaborates with scholars based in China and Canada. Xuejin Ou's co-authors include Xuelei Ma, Qizhi Ma, Yongsheng Wang, Yue Chen, Dan Li, Kai Li, Pei Shu, Benxia Zhang, Houhui Shi and Chaoyue Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cell Death and Differentiation and Signal Transduction and Targeted Therapy.

In The Last Decade

Xuejin Ou

21 papers receiving 1.1k 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.

Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer

2021 581 citations Kai Li, Houhui Shi et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuejin Ou China	15	415	393	347	204	164	22	1.1k
Paolo Esposto Pirani Italy	15	651 1.6×	387 1.0×	206 0.6×	347 1.7×	124 0.8×	31	1.3k
Marijn Bögels Netherlands	13	484 1.2×	505 1.3×	209 0.6×	336 1.6×	69 0.4×	20	1.1k
Meili Sun China	18	588 1.4×	259 0.7×	146 0.4×	318 1.6×	293 1.8×	120	1.2k
Robyn D. Gartrell United States	18	472 1.1×	297 0.8×	116 0.3×	221 1.1×	118 0.7×	45	842
Jed Ross United States	15	454 1.1×	389 1.0×	237 0.7×	690 3.4×	126 0.8×	18	1.4k
Francesc Martí United States	19	717 1.7×	803 2.0×	134 0.4×	535 2.6×	93 0.6×	57	1.7k
Wolfgang Jacob Germany	8	523 1.3×	506 1.3×	145 0.4×	246 1.2×	166 1.0×	29	1.0k
Kenneth J. Niermann United States	19	414 1.0×	78 0.2×	506 1.5×	338 1.7×	228 1.4×	40	1.4k
Matthew R. Eber United States	16	614 1.5×	180 0.5×	106 0.3×	354 1.7×	200 1.2×	29	1.1k
Wanming Hu China	17	417 1.0×	192 0.5×	98 0.3×	215 1.1×	190 1.2×	78	944

Countries citing papers authored by Xuejin Ou

Since Specialization

Citations

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

Fields of papers citing papers by Xuejin Ou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuejin Ou

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

All Works

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20 of 20 papers shown

Ou, Xuejin, Francisco M. Martínez, Yige Bao, et al.. (2025). MAIT cells promote cancer progression and regulatory T cell accumulation in bladder tumor microenvironment. Journal for ImmunoTherapy of Cancer. 13(9). e012496–e012496. 1 indexed citations

Ou, Xuejin, Ge Gao, Qizhi Ma, et al.. (2025). KC1036, a multi-kinase inhibitor with anti-angiogenic activity, can effectively suppress the tumor growth of Ewing sarcoma. Angiogenesis. 28(4). 50–50.

Ma, Qizhi, Benxia Zhang, Yue Chen, et al.. (2025). Targeting the poliovirus receptor to activate T cells and induce myeloid-derived suppressor cells to differentiate to pro-inflammatory macrophages via the IFN-γ-p-STAT1-IRF8 axis in cancer therapy. Cell Death and Differentiation. 32(10). 1791–1805. 1 indexed citations

Zhu, Sha, Hui Xu, Wenting Xu, et al.. (2021). Differential diagnostic ability of 18F-FDG PET/CT radiomics features between renal cell carcinoma and renal lymphoma. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 65(1). 72–78. 16 indexed citations

Ou, Xuejin, Qizhi Ma, Wei Yin, Xuelei Ma, & Zhiyao He. (2021). CRISPR/Cas9 Gene-Editing in Cancer Immunotherapy: Promoting the Present Revolution in Cancer Therapy and Exploring More. Frontiers in Cell and Developmental Biology. 9. 674467–674467. 42 indexed citations

Li, Kai, Houhui Shi, Benxia Zhang, et al.. (2021). Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer. Signal Transduction and Targeted Therapy. 6(1). 362–362. 581 indexed citations breakdown →

Ling, Wenwu, Ji Nie, Dingyue Zhang, et al.. (2020). Role of Contrast-Enhanced Ultrasound (CEUS) in the Diagnosis of Cervical Lymph Node Metastasis in Nasopharyngeal Carcinoma (NPC) Patients. Frontiers in Oncology. 10. 972–972. 18 indexed citations

Nie, Ji, Wenwu Ling, Qianru Yang, et al.. (2020). The Value of CEUS in Distinguishing Cancerous Lymph Nodes From the Primary Lymphoma of the Head and Neck. Frontiers in Oncology. 10. 473–473. 19 indexed citations

Zhang, Yang, Chaoyue Chen, Xuelei Ma, et al.. (2020). Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base. Frontiers in Oncology. 10. 752–752. 27 indexed citations

10.

Chen, Chaoyue, Aiping Zheng, Xuejin Ou, Jian Wang, & Xuelei Ma. (2020). Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma. Frontiers in Oncology. 10. 1151–1151. 31 indexed citations

11.

Zheng, Bo, et al.. (2020). Distinguishing Lymphomatous and Cancerous Lymph Nodes in 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography by Radiomics Analysis. Contrast Media & Molecular Imaging. 2020. 1–15. 3 indexed citations

12.

Zhang, Yang, Chaoyue Chen, Yangfan Cheng, et al.. (2019). Ability of Radiomics in Differentiation of Anaplastic Oligodendroglioma From Atypical Low-Grade Oligodendroglioma Using Machine-Learning Approach. Frontiers in Oncology. 9. 1371–1371. 8 indexed citations

13.

Xu, Hanyue, Wen Guo, Yinan Xiao, et al.. (2019). Three-Dimensional Texture Analysis Based on PET/CT Images to Distinguish Hepatocellular Carcinoma and Hepatic Lymphoma. Frontiers in Oncology. 9. 844–844. 25 indexed citations

14.

Chen, Chaoyue, Xuejin Ou, Jian Wang, Wen Guo, & Xuelei Ma. (2019). Radiomics-Based Machine Learning in Differentiation Between Glioblastoma and Metastatic Brain Tumors. Frontiers in Oncology. 9. 806–806. 76 indexed citations

15.

Chen, Chaoyue, Yimeng Fan, Xuejin Ou, et al.. (2019). Glioblastoma and Anaplastic Astrocytoma: Differentiation Using MRI Texture Analysis. Frontiers in Oncology. 9. 876–876. 21 indexed citations

16.

Chen, Chaoyue, et al.. (2019). Contrast-Enhanced CT Texture Analysis: a New Set of Predictive Factors for Small Cell Lung Cancer. Molecular Imaging and Biology. 22(3). 745–751. 7 indexed citations

17.

Yang, Jing, Xinli Guo, Xuejin Ou, Weiwei Zhang, & Xuelei Ma. (2019). Discrimination of Pancreatic Serous Cystadenomas From Mucinous Cystadenomas With CT Textural Features: Based on Machine Learning. Frontiers in Oncology. 9. 494–494. 63 indexed citations

18.

Ou, Xuejin, Jing Zhang, Jian Wang, et al.. (2019). Radiomics based on ¹⁸F‐FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine‐learning approach: A preliminary study. Cancer Medicine. 9(2). 496–506. 40 indexed citations

19.

Zhou, Yi, et al.. (2019). Prediction of Overall Survival and Progression-Free Survival by the ¹⁸F-FDG PET/CT Radiomic Features in Patients with Primary Gastric Diffuse Large B-Cell Lymphoma. Contrast Media & Molecular Imaging. 2019. 1–9. 37 indexed citations

20.

Zhou, Hui, Yuling Luo, Sha Zhu, et al.. (2018). The efficacy and safety of anti-CD19/CD20 chimeric antigen receptor- T cells immunotherapy in relapsed or refractory B-cell malignancies:a meta-analysis. BMC Cancer. 18(1). 929–929. 19 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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