Mei Shi

199 total papers · 2.7k total citations
89 papers, 1.1k citations indexed

About

Mei Shi is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Otorhinolaryngology. According to data from OpenAlex, Mei Shi has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Surgery, 28 papers in Pulmonary and Respiratory Medicine and 21 papers in Otorhinolaryngology. Recurrent topics in Mei Shi's work include Head and Neck Cancer Studies (21 papers), Endometrial and Cervical Cancer Treatments (13 papers) and Lung Cancer Treatments and Mutations (9 papers). Mei Shi is often cited by papers focused on Head and Neck Cancer Studies (21 papers), Endometrial and Cervical Cancer Treatments (13 papers) and Lung Cancer Treatments and Mutations (9 papers). Mei Shi collaborates with scholars based in China, United States and Australia. Mei Shi's co-authors include Lina Zhao, Man Xu, Shanquan Luo, Xiaoli Long, Feng Xiao, Yutian Yin, Lichun Wei, Jie Gong, Wei Qin and Jianping Li and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Mei Shi

75 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Mei Shi 358 334 311 271 204 89 1.1k
Halvor Vermund 453 1.3× 549 1.6× 547 1.8× 354 1.3× 191 0.9× 70 1.3k
Koh‐ichi Sakata 496 1.4× 255 0.8× 497 1.6× 317 1.2× 170 0.8× 85 1.4k
Daniela Russo 191 0.5× 95 0.3× 347 1.1× 163 0.6× 182 0.9× 98 1.3k
Yuko Nakayama 318 0.9× 107 0.3× 424 1.4× 307 1.1× 135 0.7× 98 1.4k
Maurizio Valeriani 256 0.7× 119 0.4× 347 1.1× 795 2.9× 328 1.6× 109 1.5k
Giampaolo Biti 238 0.7× 143 0.4× 449 1.4× 604 2.2× 272 1.3× 88 1.4k
Curtis Miyamoto 208 0.6× 93 0.3× 336 1.1× 372 1.4× 469 2.3× 63 1.4k
Jae Myoung Noh 364 1.0× 162 0.5× 549 1.8× 598 2.2× 242 1.2× 111 1.4k
G. Truc 259 0.7× 152 0.5× 224 0.7× 416 1.5× 215 1.1× 83 964
Shyh‐An Yeh 305 0.9× 464 1.4× 274 0.9× 524 1.9× 173 0.8× 58 1.1k

Countries citing papers authored by Mei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Shi

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