Qing‐Nan Tang

35 total papers · 638 total citations
25 papers, 369 citations indexed

About

Qing‐Nan Tang is a scholar working on Otorhinolaryngology, Surgery and Oncology. According to data from OpenAlex, Qing‐Nan Tang has authored 25 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Otorhinolaryngology, 14 papers in Surgery and 13 papers in Oncology. Recurrent topics in Qing‐Nan Tang's work include Head and Neck Cancer Studies (18 papers), Head and Neck Surgical Oncology (11 papers) and Viral-associated cancers and disorders (5 papers). Qing‐Nan Tang is often cited by papers focused on Head and Neck Cancer Studies (18 papers), Head and Neck Surgical Oncology (11 papers) and Viral-associated cancers and disorders (5 papers). Qing‐Nan Tang collaborates with scholars based in China. Qing‐Nan Tang's co-authors include Li‐Ting Liu, Shanshan Guo, Qiuyan Chen, Lin‐Quan Tang, Yu-Jing Liang, Sai‐Lan Liu, Jin‐Jie Yan, Yue‐Feng Wen, Xiaoyun Li and Xuesong Sun and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Qing‐Nan Tang

24 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Qing‐Nan Tang	275	187	155	92	56	25	369
Jin‐Jie Yan	286 1.0×	189 1.0×	172 1.1×	108 1.2×	48 0.9×	15	370
Yu-Jing Liang	282 1.0×	181 1.0×	144 0.9×	113 1.2×	59 1.1×	38	407
Toshimichi Yasui	232 0.8×	200 1.1×	150 1.0×	70 0.8×	49 0.9×	21	408
Yue‐Feng Wen	175 0.6×	131 0.7×	115 0.7×	72 0.8×	90 1.6×	17	337
Shengfu Huang	149 0.5×	85 0.5×	122 0.8×	95 1.0×	45 0.8×	25	340
Mo‐Fa Gu	179 0.7×	128 0.7×	133 0.9×	104 1.1×	51 0.9×	16	337
Danita Kannarunimit	296 1.1×	147 0.8×	146 0.9×	187 2.0×	35 0.6×	27	424
Jacqueline Siok Gek Hwang	134 0.5×	148 0.8×	133 0.9×	71 0.8×	54 1.0×	25	403
T. Nwizu	273 1.0×	109 0.6×	165 1.1×	140 1.5×	26 0.5×	23	338
C. Lund	160 0.6×	136 0.7×	115 0.7×	110 1.2×	29 0.5×	21	394

Countries citing papers authored by Qing‐Nan Tang

Since Specialization

Citations

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

Fields of papers citing papers by Qing‐Nan Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing‐Nan Tang. 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 Qing‐Nan Tang. The network helps show where Qing‐Nan Tang may publish in the future.

Co-authorship network of co-authors of Qing‐Nan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing‐Nan Tang. A scholar is included among the top collaborators of Qing‐Nan Tang 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 Qing‐Nan Tang. Qing‐Nan Tang 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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