Dan Shao

52 total papers · 520 total citations
31 papers, 233 citations indexed

About

Dan Shao is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Dan Shao has authored 31 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Dan Shao's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers) and Cardiac tumors and thrombi (4 papers). Dan Shao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers) and Cardiac tumors and thrombi (4 papers). Dan Shao collaborates with scholars based in China and United States. Dan Shao's co-authors include Shuxia Wang, Changhong Liang, Qiang Gao, Qiang Gao, Yong Kong, Yanshan Sheng, Entao Liu, Gang Chen, Donglan Luo and Haijun Wu and has published in prestigious journals such as International Journal of Biological Macromolecules, Medical Physics and European Radiology.

In The Last Decade

Dan Shao

29 papers receiving 229 citations

Author Peers

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

Author Last Decade Papers Cites
Dan Shao 64 54 44 42 38 31 233
Wenfeng Gao 49 0.8× 74 1.4× 11 0.3× 48 1.1× 58 1.5× 27 331
Hayley Pye 111 1.7× 83 1.5× 18 0.4× 22 0.5× 76 2.0× 28 325
Peili Fan 72 1.1× 85 1.6× 33 0.8× 59 1.4× 107 2.8× 25 305
Quanliang Shang 54 0.8× 54 1.0× 115 2.6× 55 1.3× 23 0.6× 30 273
Sheetal Chauhan 27 0.4× 36 0.7× 18 0.4× 16 0.4× 21 0.6× 29 296
Xiaolin Liu 27 0.4× 35 0.6× 45 1.0× 65 1.5× 14 0.4× 18 267
Efstathia Andrikopoulou 39 0.6× 40 0.7× 74 1.7× 45 1.1× 26 0.7× 30 286
Alexander Maier 36 0.6× 53 1.0× 65 1.5× 29 0.7× 30 0.8× 37 192
Bálint Tamaskovics 64 1.0× 49 0.9× 10 0.2× 65 1.5× 32 0.8× 32 312
Lijun Qian 33 0.5× 40 0.7× 77 1.8× 85 2.0× 50 1.3× 25 307

Countries citing papers authored by Dan Shao

Since Specialization
Citations

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

Fields of papers citing papers by Dan Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Shao

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