Ming Gao

169 total papers · 5.3k total citations
157 papers, 4.1k citations indexed

About

Ming Gao is a scholar working on Biomedical Engineering, Building and Construction and Molecular Biology. According to data from OpenAlex, Ming Gao has authored 157 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Biomedical Engineering, 45 papers in Building and Construction and 44 papers in Molecular Biology. Recurrent topics in Ming Gao's work include Biofuel production and bioconversion (56 papers), Microbial Metabolic Engineering and Bioproduction (40 papers) and Anaerobic Digestion and Biogas Production (35 papers). Ming Gao is often cited by papers focused on Biofuel production and bioconversion (56 papers), Microbial Metabolic Engineering and Bioproduction (40 papers) and Anaerobic Digestion and Biogas Production (35 papers). Ming Gao collaborates with scholars based in China, Japan and United States. Ming Gao's co-authors include Qunhui Wang, Chuanfu Wu, Yu Miao, Xiaoyu Ma, Hongzhi Ma, Yuanyuan Ren, Yu Liu, Qiqi Huang, Haishu Sun and Xinxin Ma and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Ming Gao

151 papers receiving 4.0k citations

Hit Papers

A comprehensive review on... 2017 2026 2020 2023 2017 100 200 300 400

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 1.7k 1.2k 979 553 514 157 4.1k
М. Мота 1.5k 0.9× 986 0.8× 1.6k 1.7× 1.0k 1.8× 435 0.8× 217 5.3k
Xiujin Li 1.8k 1.1× 2.6k 2.2× 538 0.5× 590 1.1× 622 1.2× 121 3.7k
Virendra Kumar Vijay 1.7k 1.0× 1.3k 1.1× 354 0.4× 643 1.2× 515 1.0× 106 4.6k
Renaud Escudié 2.1k 1.3× 3.1k 2.6× 861 0.9× 850 1.5× 654 1.3× 115 5.3k
Hans Oechsner 1.5k 0.9× 2.0k 1.7× 392 0.4× 441 0.8× 562 1.1× 136 3.2k
Le Zhang 1.6k 1.0× 1.4k 1.2× 705 0.7× 578 1.0× 489 1.0× 130 4.3k
Liang Yu 1.2k 0.7× 1.0k 0.8× 568 0.6× 368 0.7× 307 0.6× 81 2.9k
Shulin Chen 4.6k 2.8× 1.4k 1.2× 1.6k 1.7× 510 0.9× 595 1.2× 133 6.7k
A. Rinzema 1.3k 0.8× 862 0.7× 1.3k 1.3× 341 0.6× 183 0.4× 81 3.8k
Ioannis V. Skiadas 1.8k 1.1× 2.1k 1.7× 808 0.8× 563 1.0× 375 0.7× 105 3.7k

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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