Yunxian Mo

40 total papers · 980 total citations
32 papers, 552 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 552 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, Liming Xie, Lingrui Liu, Cailu Song, Hongbo Zhu and Feiyue Wu 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 550 citations

Hit Papers

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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yunxian Mo 204 164 161 136 111 32 552
Léonor Chaltiel 217 1.1× 143 0.9× 126 0.8× 104 0.8× 84 0.8× 51 511
Kensei Nakata 231 1.1× 122 0.7× 129 0.8× 123 0.9× 72 0.6× 30 501
Prashanth Giridhar 186 0.9× 135 0.8× 96 0.6× 110 0.8× 102 0.9× 43 488
Merdan Fayda 116 0.6× 170 1.0× 136 0.8× 107 0.8× 52 0.5× 35 471
Daniel E. Soto 169 0.8× 204 1.2× 148 0.9× 193 1.4× 84 0.8× 26 574
L. Arribas 166 0.8× 146 0.9× 136 0.8× 166 1.2× 93 0.8× 35 596
M. Marcy 160 0.8× 174 1.1× 91 0.6× 105 0.8× 70 0.6× 24 507
Ronny Kalash 120 0.6× 179 1.1× 145 0.9× 103 0.8× 137 1.2× 36 500
Renben Wang 255 1.3× 245 1.5× 128 0.8× 98 0.7× 123 1.1× 28 563
D. Latz 258 1.3× 209 1.3× 227 1.4× 101 0.7× 109 1.0× 32 594

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

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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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