Zhi‐Ming Shao

395 total papers · 14.2k total citations
221 papers, 8.5k citations indexed

About

Zhi‐Ming Shao is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Zhi‐Ming Shao has authored 221 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Oncology, 101 papers in Cancer Research and 89 papers in Molecular Biology. Recurrent topics in Zhi‐Ming Shao's work include Breast Cancer Treatment Studies (70 papers), HER2/EGFR in Cancer Research (37 papers) and Breast Lesions and Carcinomas (29 papers). Zhi‐Ming Shao is often cited by papers focused on Breast Cancer Treatment Studies (70 papers), HER2/EGFR in Cancer Research (37 papers) and Breast Lesions and Carcinomas (29 papers). Zhi‐Ming Shao collaborates with scholars based in China, United States and United Kingdom. Zhi‐Ming Shao's co-authors include Ke‐Da Yu, Zhen‐Zhou Shen, Jiong Wu, Lei Fan, Sanford H. Barsky, Jun-Jie Li, Dianne M. Finkelstein, Paul E. Goss, Kathrin Strasser‐Weippl and Jessica St. Louis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Zhi‐Ming Shao

213 papers receiving 8.3k citations

Hit Papers

Breast cancer in China 2014 2026 2018 2022 2014 2022 2025 2024 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Zhi‐Ming Shao 3.9k 3.5k 3.0k 1.3k 1.1k 221 8.5k
Carl Morrison 4.2k 1.1× 2.3k 0.7× 2.4k 0.8× 1.3k 1.0× 918 0.8× 185 8.1k
Powel H. Brown 5.2k 1.3× 3.9k 1.1× 2.6k 0.9× 1.3k 1.0× 926 0.8× 223 10.1k
Yasuo Miyoshi 4.6k 1.2× 3.4k 1.0× 2.3k 0.8× 1.0k 0.8× 1.6k 1.4× 252 9.2k
Melissa A. Troester 3.7k 0.9× 5.4k 1.5× 4.6k 1.5× 1.2k 0.9× 980 0.9× 273 10.6k
Nils Brünner 4.0k 1.0× 4.1k 1.2× 5.0k 1.7× 914 0.7× 596 0.5× 238 9.9k
Angelo Paradiso 3.9k 1.0× 2.9k 0.8× 2.0k 0.7× 1.0k 0.8× 650 0.6× 336 7.7k
Hidewaki Nakagawa 4.0k 1.0× 2.6k 0.7× 2.6k 0.9× 1.1k 0.8× 1.8k 1.6× 150 7.9k
William T. Barry 2.1k 0.5× 4.3k 1.2× 2.4k 0.8× 1.6k 1.2× 717 0.6× 191 8.4k
George Somlo 4.6k 1.2× 5.9k 1.7× 3.6k 1.2× 1.7k 1.3× 1.1k 1.0× 278 11.9k
Elizabeth Claire Dees 2.9k 0.8× 4.5k 1.3× 2.9k 1.0× 1.4k 1.1× 663 0.6× 127 7.8k

Countries citing papers authored by Zhi‐Ming Shao

Since Specialization
Citations

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

Fields of papers citing papers by Zhi‐Ming Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi‐Ming Shao

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