Xuejun Ni

1.1k total citations
27 papers, 536 citations indexed

About

Xuejun Ni is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Xuejun Ni has authored 27 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Molecular Biology and 6 papers in Biomedical Engineering. Recurrent topics in Xuejun Ni's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Peripheral Nerve Disorders (3 papers). Xuejun Ni is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Peripheral Nerve Disorders (3 papers). Xuejun Ni collaborates with scholars based in China, Switzerland and United Kingdom. Xuejun Ni's co-authors include Yahong Zhao, Hualin Sun, Xin‐Wu Cui, Christoph F. Dietrich, Yumin Yang, Yongjun Wang, Cheng Sun, Peng Su, Xiaosong Gu and Yaling Wang and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Biochemical Pharmacology.

In The Last Decade

Xuejun Ni

25 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuejun Ni China 11 150 141 113 92 72 27 536
Arno Doelemeyer Switzerland 11 144 1.0× 114 0.8× 39 0.3× 62 0.7× 34 0.5× 25 576
Chushan Zheng China 13 62 0.4× 214 1.5× 98 0.9× 146 1.6× 57 0.8× 20 460
Shuai Wu China 12 168 1.1× 117 0.8× 14 0.1× 53 0.6× 40 0.6× 33 564
Ping Liang China 15 331 2.2× 75 0.5× 29 0.3× 40 0.4× 78 1.1× 47 641
Fugui Zhang China 11 382 2.5× 18 0.1× 39 0.3× 58 0.6× 104 1.4× 46 715
Yuling Shen China 12 169 1.1× 21 0.1× 24 0.2× 74 0.8× 84 1.2× 18 555
Jin-Soo Kim South Korea 12 238 1.6× 34 0.2× 28 0.2× 71 0.8× 68 0.9× 61 584
Margarita Ecay Spain 11 105 0.7× 50 0.4× 25 0.2× 36 0.4× 217 3.0× 17 447
Chuan Lan China 12 379 2.5× 27 0.2× 39 0.3× 36 0.4× 66 0.9× 32 701
Xinxing Xie China 15 250 1.7× 12 0.1× 31 0.3× 62 0.7× 116 1.6× 29 699

Countries citing papers authored by Xuejun Ni

Since Specialization
Citations

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

Fields of papers citing papers by Xuejun Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuejun Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Xuejun Ni. A scholar is included among the top collaborators of Xuejun Ni 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 Xuejun Ni. Xuejun Ni 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
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Bai, Hongwei, Jiefu Liu, Wei Feng, et al.. (2025). Cobalt Single‐Atom Intercalation in Molybdenum Disulfide Enhances Piezocatalytic and Enzyodynamic Activities for Advanced Cancer Therapeutics. Advanced Science. 12(14). e2415485–e2415485. 6 indexed citations
4.
Ni, Xuejun, et al.. (2024). Integrative bioinformatics and experimental validation of hub genetic markers in acne vulgaris: Toward personalized diagnostic and therapeutic strategies. Journal of Cosmetic Dermatology. 23(5). 1777–1799. 3 indexed citations
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Chen, Weiwei, Xuejun Ni, Qian Cheng, et al.. (2024). The value of a neural network based on multi-scale feature fusion to ultrasound images for the differentiation in thyroid follicular neoplasms. BMC Medical Imaging. 24(1). 74–74. 4 indexed citations
7.
Liu, Zhihua, Bin Yang, Yan Shen, et al.. (2024). Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking. Medical Image Analysis. 94. 103138–103138. 1 indexed citations
8.
Luo, Ting, Hua Zhang, Hui Liu, et al.. (2023). Markedly hypoechoic: a new definition improves the diagnostic performance of thyroid ultrasound. European Radiology. 33(11). 7857–7865. 4 indexed citations
9.
Song, Xinran, Jiefu Liu, Li Ding, et al.. (2023). Engineering Ternary PdMop Nanoenzyme for Enzyodynamic Effect‐Enhanced Ferroptosis and Sonocatalysis‐Enabled Tumor Immunotherapy. Advanced Functional Materials. 34(10). 13 indexed citations
10.
Wang, Yaling, Yunyun Liang, Yisheng Gao, et al.. (2022). Proteomic Analysis of Silk Fibroin Reveals Diverse Biological Function of Different Degumming Processing From Different Origin. Frontiers in Bioengineering and Biotechnology. 9. 777320–777320. 8 indexed citations
11.
Hu, Ping, Xuejun Ni, Qian Song, et al.. (2022). A Preliminary Study of Ultrasound-Guided Microwave Ablation for Nonpuerperal Mastitis Treatment. Breast Care. 18(1). 1–11. 1 indexed citations
12.
Wang, Kexin, Guangdong Qi, Chong Qiu, et al.. (2022). Chronic kidney disease-induced muscle atrophy: Molecular mechanisms and promising therapies. Biochemical Pharmacology. 208. 115407–115407. 57 indexed citations
13.
Zhang, Di, Wentao Qi, Ge-Ge Wu, et al.. (2021). Preoperative Prediction of Microvascular Invasion in Patients With Hepatocellular Carcinoma Based on Radiomics Nomogram Using Contrast-Enhanced Ultrasound. Frontiers in Oncology. 11. 709339–709339. 35 indexed citations
14.
Chen, Xin, Ming Li, Wei Wang, et al.. (2021). Transcriptome sequencing and analysis reveals the molecular mechanism of skeletal muscle atrophy induced by denervation. Annals of Translational Medicine. 9(8). 697–697. 7 indexed citations
15.
Chen, Yuhua, Hao Zhou, Zhendong Wang, et al.. (2021). Integrated analysis of ceRNA network and tumor-infiltrating immune cells in esophageal cancer. Bioscience Reports. 41(5). 5 indexed citations
16.
Gu, Yun, Meijuan Cai, Tuo Yang, et al.. (2020). Integrative systems and functional analyses reveal a role of dopaminergic signaling in myelin pathogenesis. Journal of Translational Medicine. 18(1). 109–109. 10 indexed citations
17.
Wu, Changyue, Xuejun Ni, Tongtong Xu, et al.. (2019). Salidroside Attenuates Denervation-Induced Skeletal Muscle Atrophy Through Negative Regulation of Pro-inflammatory Cytokine. Frontiers in Physiology. 10. 665–665. 46 indexed citations
18.
Ni, Xuejun, et al.. (2018). The High-Frequency Ultrasound Detection of Rat Sciatic Nerve in a Crushed Injury Model. Ultrasound Quarterly. 35(2). 120–124. 5 indexed citations
19.
Zhao, Yahong, Yongjun Wang, Changmei Niu, et al.. (2017). Chitosan degradation products facilitate peripheral nerve regeneration by improving macrophage-constructed microenvironments. Biomaterials. 134. 64–77. 133 indexed citations
20.
Ni, Xuejun, Xiaodong Wang, Yahong Zhao, et al.. (2016). The Effect of Low-Intensity Ultrasound on Brain-Derived Neurotropic Factor Expression in a Rat Sciatic Nerve Crushed Injury Model. Ultrasound in Medicine & Biology. 43(2). 461–468. 37 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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