Yunxian Mo

989 citations
32 papers · 562 indexed · 1 hit paper · h-index 14
Topics
Head and Neck Cancer Studies (7 papers)Salivary Gland Tumors Diagnosis and Treatment (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
Partner nations
ChinaUnited States

In The Last Decade

Yunxian Mo

32 papers receiving 560 citations

Hit Papers

A novel axis of circKIF4A-miR-637-STAT3 promotes brain me...202320262024202520234080120

Peers

Yunxian Mo
Comparison fields: 5 of 65
  • Oncology 205
  • Pulmonary and Respiratory Medicine 168
  • Surgery 162
  • Molecular Biology 141
  • Radiology, Nuclear Medicine and Imaging 111
Replace Vanessa Di Cataldo with:
Vanessa Di Cataldo Italy
Anna Margherita Maffione Italy
Yoshizumi Kitamoto Japan
Jennifer A. Dorth United States
Hui Wu China
Wendong Gu China
Karel Odrážka Czechia
Elise Le Stanc France
Hiroyuki Kawakami Japan
Yingjie Shao China
Yunxian Mo relative to Vanessa Di Cataldo Italy Vanessa Di Cataldo's profile →
Citations per field
00.5×4.0×
Vanessa Di Cataldo · 1×
Citations per year

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
#WorkIndexed citations
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A novel axis of circKIF4A-miR-637-STAT3 promotes brain metastasis in triple-negative breast cancerbreakdown →
137
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6 11
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[CT and MRI features of peripheral primitive neuroectodermal tumor].
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About Yunxian Mo

Yunxian Mo is a scholar working on Otorhinolaryngology, Aging and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 562 indexed citations. Recurring topics across this 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). The work is most often cited by research in Otorhinolaryngology (51 citations), Oncology (205 citations) and Cancer Research (102 citations). Yunxian Mo has collaborated with scholars based in China and United States. Frequent co-authors include Chuan-Miao Xie, Xue-Wen Liu, Song Wu, Xiaoming Xie, Cailu Song, Lingrui Liu, Hailin Tang, Liming Xie, Hongbo Zhu and Feiyue Wu. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Letters and American Journal of Roentgenology.

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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