Shi Gao

65 total papers · 583 total citations
44 papers, 437 citations indexed

About

Shi Gao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Shi Gao has authored 44 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 12 papers in Oncology. Recurrent topics in Shi Gao's work include Medical Imaging Techniques and Applications (12 papers), Radiopharmaceutical Chemistry and Applications (10 papers) and Nanoplatforms for cancer theranostics (9 papers). Shi Gao is often cited by papers focused on Medical Imaging Techniques and Applications (12 papers), Radiopharmaceutical Chemistry and Applications (10 papers) and Nanoplatforms for cancer theranostics (9 papers). Shi Gao collaborates with scholars based in China, United States and Spain. Shi Gao's co-authors include Qingjie Ma, Qingjie Ma, Bin Ji, Tiefeng Ji, Bing Jia, Minglong Chen, Lei Zhu, Xiaohong Chen, Guoqing Zhao and Pengfei Rong and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Journal of Controlled Release.

In The Last Decade

Shi Gao

38 papers receiving 431 citations

Author Peers

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

Author Last Decade Papers Cites
Shi Gao 181 134 125 119 93 44 437
Zhao-Hui Jin 111 0.6× 43 0.3× 171 1.4× 119 1.0× 79 0.8× 25 397
Ryo Tsumura 156 0.9× 159 1.2× 173 1.4× 77 0.6× 36 0.4× 21 417
George Loudos 154 0.9× 97 0.7× 84 0.7× 206 1.7× 19 0.2× 28 488
Dirk Rattat 243 1.3× 84 0.6× 157 1.3× 38 0.3× 25 0.3× 23 462
Young Seok Cho 60 0.3× 75 0.6× 164 1.3× 118 1.0× 22 0.2× 25 398
Katelyn E. McCabe 178 1.0× 148 1.1× 176 1.4× 73 0.6× 17 0.2× 17 434
Xiaoli Hui 106 0.6× 186 1.4× 218 1.7× 61 0.5× 29 0.3× 16 476
Aurélien Vidal 109 0.6× 79 0.6× 94 0.8× 39 0.3× 29 0.3× 27 369
Jun-ichiro Kuroda 44 0.2× 133 1.0× 136 1.1× 93 0.8× 24 0.3× 25 493
Kendall Morrison 83 0.5× 119 0.9× 88 0.7× 30 0.3× 26 0.3× 20 391

Countries citing papers authored by Shi Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shi Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Gao. A scholar is included among the top collaborators of Shi Gao 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 Shi Gao. Shi Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026