Ming Gao

78 total papers · 991 total citations
50 papers, 641 citations indexed

About

Ming Gao is a scholar working on Rheumatology, Biomedical Engineering and Surgery. According to data from OpenAlex, Ming Gao has authored 50 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 10 papers in Biomedical Engineering and 7 papers in Surgery. Recurrent topics in Ming Gao's work include Nanoplatforms for cancer theranostics (7 papers), Systemic Lupus Erythematosus Research (7 papers) and Advanced Nanomaterials in Catalysis (6 papers). Ming Gao is often cited by papers focused on Nanoplatforms for cancer theranostics (7 papers), Systemic Lupus Erythematosus Research (7 papers) and Advanced Nanomaterials in Catalysis (6 papers). Ming Gao collaborates with scholars based in China, United States and Canada. Ming Gao's co-authors include Li Zheng, Jinhong Cai, Jinmin Zhao, Shuhan Liu, Dachang Liu, Qingjun Wei, Yuting Chen, Zainen Qin, Cibo Huang and Xiutian Sima and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Frontiers in Plant Science.

In The Last Decade

Ming Gao

48 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
Ming Gao 162 147 130 78 73 50 641
Amit K. Dinda 200 1.2× 37 0.3× 117 0.9× 91 1.2× 61 0.8× 38 765
Wanli Li 142 0.9× 112 0.8× 149 1.1× 51 0.7× 84 1.2× 34 599
Fei Yu 161 1.0× 116 0.8× 113 0.9× 68 0.9× 75 1.0× 84 578
Ting Cheng 211 1.3× 52 0.4× 111 0.9× 90 1.2× 141 1.9× 46 689
Somponnat Sampattavanich 232 1.4× 71 0.5× 130 1.0× 69 0.9× 51 0.7× 35 612
Shaoyan Si 196 1.2× 49 0.3× 108 0.8× 101 1.3× 65 0.9× 38 722
Hsiang‐Lin Song 104 0.6× 83 0.6× 163 1.3× 67 0.9× 23 0.3× 27 577
Wanlin Zhang 220 1.4× 114 0.8× 46 0.4× 29 0.4× 57 0.8× 36 700
Xueyan Zhang 131 0.8× 93 0.6× 99 0.8× 87 1.1× 89 1.2× 44 559
Huiyang Li 145 0.9× 47 0.3× 90 0.7× 65 0.8× 29 0.4× 38 602

Countries citing papers authored by Ming Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Gao. A scholar is included among the top collaborators of Ming 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 Ming Gao. Ming Gao 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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2026