Ming Gao

5.4k total citations · 1 hit paper
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, Hongzhi Ma, Xiaoyu Ma, Yuanyuan Ren, Yu Liu, Qiqi Huang, Haishu Sun and Xiaona Wang 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

153 papers receiving 4.1k citations

Hit Papers

A comprehensive review on food waste anaerobic digestion:... 2017 2026 2020 2023 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A comprehensive review on food waste anaerobic digestion: Research updates and tendencies
    2017 493 citations Chuanfu Wu, Qunhui Wang et al. Bioresource Technology profile →

Peers

Ming Gao
Virendra Kumar Vijay India
Liang Yu United States
М. Мота Portugal
Hans Oechsner Germany
Le Zhang China
Shulin Chen United States
Luigi Frunzo Italy
Xumeng Ge United States
Karthik Rajendran India
D.C. Baruah India
Virendra Kumar Vijay India
Ming Gao
Citations per year, relative to Ming Gao Ming Gao (= 1×) peers Virendra Kumar Vijay

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

20 of 20 papers shown
1.
Li, Yong, et al.. (2025). Micro/nanorobots in antimicrobial therapy: Addressing challenges of antibiotic resistance. Materials Today Bio. 32. 101936–101936. 4 indexed citations
2.
Ma, Hongzhi, Pin Lv, Jun Zhou, et al.. (2024). Ethanol Production from a Mixture of Waste Tissue Paper and Food Waste through Saccharification and Mixed-Culture Fermentation. Fermentation. 10(4). 194–194. 2 indexed citations
3.
Li, Yongsheng, Haishu Sun, Yuanchun Zhang, et al.. (2024). Research progress for co-production ethanol and biobased products. Industrial Crops and Products. 212. 118351–118351. 6 indexed citations
4.
Li, Yuan, Chuanfu Wu, Ming Gao, et al.. (2024). Oriented bioconversion of food waste to lactic acid for external carbon source production: Microbial communities and comparison of denitrification performance. Bioresource Technology. 416. 131739–131739. 4 indexed citations
5.
Zhang, Shuang, Pan Zhao, Ming Gao, et al.. (2024). Metabolic mechanism of thermal pretreatment combined with ethanol pre-fermentation to enhance anaerobic digestion of food waste: A comprehensive analysis of key enzyme-encoding genes. Industrial Crops and Products. 209. 118013–118013. 9 indexed citations
6.
Gao, Jing, Yunxiao Zhao, Ming Gao, et al.. (2024). Polyphenol metabolomics reveals the applications and prospects of polyphenol-rich plants in natural dyes. SHILAP Revista de lepidopterología. 4(1). 0–0. 1 indexed citations
7.
Gao, Ming, et al.. (2023). Performance and deactivation mechanism of a carbon-based solid acid catalyst in the esterification of soybean saponin acid oil. Journal of environmental chemical engineering. 11(3). 109797–109797. 12 indexed citations
8.
Ma, Hongzhi, et al.. (2023). Whether biorefinery is a promising way to support waste source separation? From the life cycle perspective. The Science of The Total Environment. 912. 168731–168731. 5 indexed citations
9.
10.
Li, Chenglong, et al.. (2023). The Performance of Microfiltration Process for Purifying Lactic Acid in the Fermented Broth of Kitchen Waste. Membranes. 13(3). 280–280. 5 indexed citations
11.
Zhang, Shuang, Haishu Sun, Pan Zhao, et al.. (2023). Intermittent energization improves microbial electrolysis cell-assisted thermophilic anaerobic co-digestion of food waste and spent mushroom substance. Bioresource Technology. 370. 128577–128577. 41 indexed citations
12.
13.
Zhou, Jun, Hongzhi Ma, Pin Lv, et al.. (2023). Life Cycle Assessment of Fuel Ethanol Production from Food Waste in Consideration of By-Product Utilization. Processes. 11(6). 1672–1672.
14.
Ma, Hongzhi, Wenyu Wu, Changlei Xia, et al.. (2022). Pretreatment of Wheat Straw Lignocelluloses by Deep Eutectic Solvent for Lignin Extraction. Molecules. 27(22). 7955–7955. 53 indexed citations
15.
Ma, Hongzhi, Emilia den Boer, Wenyu Wu, et al.. (2021). Effect of microwave/hydrothermal combined ionic liquid pretreatment on straw: Rumen anaerobic fermentation and enzyme hydrolysis. Environmental Research. 205. 112453–112453. 26 indexed citations
16.
Gao, Ming, Yujia Lin, Pan Wang, et al.. (2021). Production of medium-chain fatty acid caproate from Chinese liquor distillers’ grain using pit mud as the fermentation microbes. Journal of Hazardous Materials. 417. 126037–126037. 35 indexed citations
17.
Zheng, Tianlong, Peng Li, Xiaoyu Ma, et al.. (2018). Pilot-scale experiments on multilevel contact oxidation treatment of poultry farm wastewater using saran lock carriers under different operation model. Journal of Environmental Sciences. 77. 336–345. 17 indexed citations
18.
Wang, Cheng, et al.. (2006). [Responses of regional ecological service value to land use change: A case study of Shapingba County in Chongqing].. PubMed. 17(8). 1485–9. 1 indexed citations
19.
Wang, Cheng, et al.. (2005). [Effects of land use structure change on regional ecological health--taking Shapingba County as an example].. PubMed. 16(12). 2296–300. 1 indexed citations
20.

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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