Min Qi

5.4k citations
172 papers · 4.4k · h-index 30

Impact in

Papers in

    • Signaling Pathways in Disease 6
    • Biological Activity of Diterpenoids and Biflavonoids 5
    • Cervical and Thoracic Myelopathy 11

Min Qi

166 papers receiving 4.3k citations

Peers

Min Qi
Comparison fields: 5 of 172
  • Polymers and Plastics 1.1k
  • Process Chemistry and Technology 96
  • Plant Science 1.0k
  • Safety, Risk, Reliability and Quality 231
  • Molecular Biology 1.1k
Replace Ge Zhao with:
Ge Zhao China
Suzhen Li China
Mingxia Chen China
Tatsuo Tanaka Japan
Xing Chen China
Ji Hee Lee South Korea
Lü Chen China
Hua Huang China
Jianqiang Xu China
Tsutomu Tanaka Japan
Min Qi relative to Ge Zhao China Ge Zhao's profile →
Citations per field
00.5×9.6×
Ge Zhao · 1×
Citations per year

Countries citing papers authored by Min Qi

Since Specialization
Citations

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

Fields of papers citing papers by Min Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Qi, 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 Min Qi Line = papers co-authored together Min Qi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004374
2 2006315
3 2017257
4 2018218
5 2001210
6 2018187
7 2016154
8 2019132
9 2021123
10 2002122
11 2001121
12 2018111
13 201293
14 201788
15 201366
16 201859
17 201351
18 201148
19 201247
20 202245

About Min Qi

Min Qi is a scholar working on Molecular Biology, Surgery, Oncology, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 172 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (11 papers), Ferroptosis and cancer prognosis (9 papers), Autophagy in Disease and Therapy (8 papers), Cancer-related molecular mechanisms research (6 papers), Cancer-related Molecular Pathways (6 papers), Flame retardant materials and properties (6 papers), Signaling Pathways in Disease (6 papers) and Biological Activity of Diterpenoids and Biflavonoids (5 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Process Chemistry and Technology (96 citations), Plant Science (1.0k citations), Safety, Risk, Reliability and Quality (231 citations) and Molecular Biology (1.1k citations). Min Qi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yinong Yang, Chuansheng Mei, Yu‐Zhong Wang, Ying‐Jun Xu, Li Chen, Min‐Woo Lee, Wenhui Rao, Guangyao Sheng, Wang Liao and Yi Tan. Their work appears in journals such as Chemical Engineering Journal, European Spine Journal, Frontiers in Oncology, Molecular Plant-Microbe Interactions and Experimental Dermatology.

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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