Yunxian Mo

989 total citations · 1 hit paper
32 papers, 562 citations indexed

About

Yunxian Mo is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Yunxian Mo has authored 32 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 12 papers in Pulmonary and Respiratory Medicine and 10 papers in Oncology. Recurrent topics in Yunxian Mo's work include Head and Neck Cancer Studies (7 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Yunxian Mo is often cited by papers focused on Head and Neck Cancer Studies (7 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Yunxian Mo collaborates with scholars based in China and United States. Yunxian Mo's co-authors include Chuan-Miao Xie, Xue-Wen Liu, Xiaoming Xie, Song Wu, Hailin Tang, Cailu Song, Lingrui Liu, Liming Xie, Feiyue Wu and Hongbo Zhu and has published in prestigious journals such as International Journal of Molecular Sciences, Cancer Letters and American Journal of Roentgenology.

In The Last Decade

Yunxian Mo

32 papers receiving 560 citations

Hit Papers

A novel axis of circKIF4A... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunxian Mo China 14 205 168 162 141 111 32 562
Kotaro Terashima Japan 11 140 0.7× 203 1.2× 100 0.6× 101 0.7× 61 0.5× 22 434
Juliette Haudebourg France 14 206 1.0× 268 1.6× 208 1.3× 144 1.0× 31 0.3× 37 651
Jennifer A. Dorth United States 15 371 1.8× 272 1.6× 248 1.5× 162 1.1× 90 0.8× 60 837
Meltem Ekenel Türkiye 13 297 1.4× 282 1.7× 117 0.7× 110 0.8× 64 0.6× 51 601
Hui Wu China 13 402 2.0× 226 1.3× 143 0.9× 116 0.8× 218 2.0× 39 691
Elise Le Stanc France 9 227 1.1× 168 1.0× 168 1.0× 74 0.5× 367 3.3× 15 661
Cheng‐Hsiang Lo Taiwan 15 129 0.6× 173 1.0× 142 0.9× 47 0.3× 96 0.9× 40 501
Vanessa Di Cataldo Italy 14 170 0.8× 296 1.8× 119 0.7× 35 0.2× 124 1.1× 61 579
Daniel Buergy Germany 13 289 1.4× 152 0.9× 101 0.6× 157 1.1× 93 0.8× 29 674
Horst Sack Germany 17 148 0.7× 219 1.3× 206 1.3× 80 0.6× 198 1.8× 38 735

Countries citing papers authored by Yunxian Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yunxian Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunxian Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Yunxian Mo. A scholar is included among the top collaborators of Yunxian Mo 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 Yunxian Mo. Yunxian Mo 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.
Dai, Danian, Jinhui Zhang, Yunxian Mo, et al.. (2025). CircPLK1 upregulates ETS1 to confer anthracycline resistance in triple-negative breast cancer. Journal of Translational Internal Medicine. 13(3). 267–280. 3 indexed citations
2.
Wu, Song, Hongbo Zhu, Feiyue Wu, et al.. (2023). A novel axis of circKIF4A-miR-637-STAT3 promotes brain metastasis in triple-negative breast cancer. Cancer Letters. 581. 216508–216508. 137 indexed citations breakdown →
3.
Dong, Annan, et al.. (2023). Matted Lymph Nodes on MRI in Nasopharyngeal Carcinoma: Prognostic Factor and Potential Indication for Induction Chemotherapy Benefits. Journal of Magnetic Resonance Imaging. 59(6). 1976–1990. 1 indexed citations
4.
Xie, Jindong, Junsheng Zhang, W. H. Tian, et al.. (2022). The Pan-Cancer Multi-Omics Landscape of FOXO Family Relevant to Clinical Outcome and Drug Resistance. International Journal of Molecular Sciences. 23(24). 15647–15647. 39 indexed citations
5.
Peng, Hao, Binbin Chen, Xiaohui Wang, Yunxian Mo, & Fei Han. (2021). Prognostic Value of Regression Rate of Plasma EBV DNA After Induction Chemotherapy for Stage II-IVA Nasopharyngeal Carcinoma. Frontiers in Oncology. 11. 689593–689593. 2 indexed citations
8.
Xie, Hao‐Jun, Xu Zhang, Yunxian Mo, et al.. (2019). Tumor Volume Is Better Than Diameter for Predicting the Prognosis of Patients with Early-Stage Non-small Cell Lung Cancer. Annals of Surgical Oncology. 26(8). 2401–2408. 10 indexed citations
9.
Zhou, Jianhua, Hongbo Shan, Wei Ou, et al.. (2018). Contrast-Enhanced Ultrasound Improves the Pathological Outcomes of US-Guided Core Needle Biopsy That Targets the Viable Area of Anterior Mediastinal Masses. BioMed Research International. 2018. 1–9. 13 indexed citations
10.
Su, Xiao‐Dong, Hao‐Jun Xie, Qianwen Liu, et al.. (2016). The prognostic impact of tumor volume on stage I non-small cell lung cancer. Lung Cancer. 104. 91–97. 22 indexed citations
11.
Ban, Xiaohua, et al.. (2014). Lymphoepithelial Carcinoma of the Salivary Gland: Morphologic Patterns and Imaging Features on CT and MRI. American Journal of Neuroradiology. 35(9). 1813–1819. 23 indexed citations
12.
Tian, Li, Pei‐Qiang Cai, Chun-Yan Cui, et al.. (2014). Reactive thymic hyperplasia following chemotherapy for children with lymphoma: computed tomography may be able to provide valuable information to avoid over-treatment. European Journal of Cardio-Thoracic Surgery. 47(5). 883–889. 9 indexed citations
14.
Mo, Yunxian, Jingxian Shen, Yun Zhang, et al.. (2014). Primary Lymphoepithelioma-like Carcinoma of the Lung. Journal of Thoracic Imaging. 29(4). 246–251. 28 indexed citations
15.
Lin, Cheng‐Guang, et al.. (2012). An experimental study on acute brain radiation injury: Dynamic changes in proton magnetic resonance spectroscopy and the correlation with histopathology. European Journal of Radiology. 81(11). 3496–3503. 14 indexed citations
16.
Liu, Xue-Wen, Chuan-Miao Xie, Hui Li, et al.. (2011). Nasopharyngeal adenoid cystic carcinoma: magnetic resonance imaging features in ten cases. Chinese Journal of Cancer. 32(5). 19–28. 8 indexed citations
17.
Liu, Xue-Wen, Chuan-Miao Xie, Yunxian Mo, et al.. (2011). Magnetic resonance imaging features of nasopharyngeal carcinoma and nasopharyngeal non-Hodgkin's lymphoma: Are there differences?. European Journal of Radiology. 81(6). 1146–1154. 27 indexed citations
18.
Liu, Hui, Lixia Lu, Qi Zhu, et al.. (2011). Cervical nodal metastases of unresectable thoracic esophageal squamous cell carcinoma: Characteristics of long-term survivors after concurrent chemoradiotherapy. Radiotherapy and Oncology. 99(2). 181–186. 17 indexed citations
19.
Zhang, Rong, Yunxian Mo, Mingming Lv, et al.. (2010). Kimura's disease: The CT and MRI characteristics in fifteen cases. European Journal of Radiology. 80(2). 489–497. 30 indexed citations
20.
Xie, Chuan-Miao, Yunxian Mo, Xue-Wen Liu, et al.. (2009). Correlation of multi-slice spiral CT features to clinicopathologic manifestations of gastrointestinal stromal tumor: a report of 49 cases. Chinese Journal of Cancer. 28(9). 983–988. 6 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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