Mingming Gao

1.7k citations
78 papers · 1.2k · h-index 17

Impact in

Papers in

    • Nuclear Structure and Function 7
    • Pancreatic function and diabetes 6
    • Cholesterol and Lipid Metabolism 5

Mingming Gao

72 papers receiving 1.2k citations

Peers

Mingming Gao
Comparison fields: 5 of 106
  • Biochemistry 287
  • Cell Biology 148
  • Molecular Biology 545
  • Cancer Research 104
  • Endocrinology, Diabetes and Metabolism 96
Replace Dean Gilham with:
Dean Gilham United States
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Ziwei Gu United States
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Rita Roberti Italy
Jihong Lian Canada
Bingxian Xie United States
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Citations per field
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Citations per year

Countries citing papers authored by Mingming Gao

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingming Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingming Gao Line = papers co-authored together Mingming Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018167
2 2019132
3 2012108
4 201757
5 201456
6 202254
7 201241
8 202332
9 201332
10 202129
11 201628
12 201926
13 202025
14 201620
15 201818
16 201517
17 201416
18
Relationships among apolipoprotein A1 gene polymorphisms, lipid levels and coronary atherosclerosis disease.
200315
19 202314
20 201514

About Mingming Gao

Mingming Gao is a scholar working on Molecular Biology, Surgery, Electrical and Electronic Engineering, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microwave Engineering and Waveguides (8 papers), Lipid metabolism and biosynthesis (8 papers), Nuclear Structure and Function (7 papers), Pancreatic function and diabetes (6 papers), Cholesterol and Lipid Metabolism (5 papers), Antenna Design and Analysis (5 papers), Diabetes Treatment and Management (5 papers) and Advanced Antenna and Metasurface Technologies (4 papers). The work is most often cited by research in Biochemistry (287 citations), Cell Biology (148 citations), Molecular Biology (545 citations), Cancer Research (104 citations) and Endocrinology, Diabetes and Metabolism (96 citations). Mingming Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongyuan Yang, Dexi Liu, Chaojie Liu, Xun Huang, Bao‐Liang Song, Ximing Du, Ivan Lukmantara, Nieng Yan, Renhong Yan and Hongwu Qian. Their work appears in journals such as PLoS ONE, Cancer Research, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Pharmacy and Pharmacology and Nature Communications.

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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