Yan Shao

154 total papers · 657 total citations
69 papers, 404 citations indexed

About

Yan Shao is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yan Shao has authored 69 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiation, 28 papers in Pulmonary and Respiratory Medicine and 26 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yan Shao's work include Advanced Radiotherapy Techniques (32 papers), Lung Cancer Diagnosis and Treatment (24 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Yan Shao is often cited by papers focused on Advanced Radiotherapy Techniques (32 papers), Lung Cancer Diagnosis and Treatment (24 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Yan Shao collaborates with scholars based in China, United States and United Kingdom. Yan Shao's co-authors include Yanhua Duan, Zhiyong Xu, Zhiyong Xu, Hao Wang, Xiaolong Fu, Qing Kong, Hongzhi Ma, Yu Hua, Mingbo Yang and Weihai Zhuo and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Yan Shao

56 papers receiving 398 citations

Author Peers

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

Author						Papers	Cites
Yan Shao	178	154	133	99	31	69	404
Seyed Mahmoud Reza Aghamiri	202 1.1×	119 0.8×	116 0.9×	96 1.0×	33 1.1×	45	391
Delphine Jarnet	139 0.8×	67 0.4×	157 1.2×	71 0.7×	35 1.1×	24	410
Saeed Ahmad Buzdar	82 0.5×	131 0.9×	105 0.8×	80 0.8×	8 0.3×	63	439
Myeongsoo Kim	58 0.3×	67 0.4×	44 0.3×	146 1.5×	29 0.9×	45	424
Parinaz Mehnati	224 1.3×	99 0.6×	157 1.2×	132 1.3×	22 0.7×	48	418
N Breiter	174 1.0×	30 0.2×	112 0.8×	114 1.2×	20 0.6×	26	410
Hong Qi Tan	61 0.3×	105 0.7×	110 0.8×	106 1.1×	8 0.3×	58	414
Kazuhide Hayama	142 0.8×	79 0.5×	78 0.6×	102 1.0×	7 0.2×	22	369
Hongming Liu	84 0.5×	50 0.3×	61 0.5×	31 0.3×	8 0.3×	43	380
Kathryn Banfill	237 1.3×	157 1.0×	291 2.2×	31 0.3×	6 0.2×	33	494

Countries citing papers authored by Yan Shao

Since Specialization

Citations

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

Fields of papers citing papers by Yan Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Shao. A scholar is included among the top collaborators of Yan Shao 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 Yan Shao. Yan Shao 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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