Mingzhe Li

1.1k citations
19 papers · 677 indexed · 1 hit paper · h-index 11
Topics
Cancer-related molecular mechanisms research (5 papers)MicroRNA in disease regulation (4 papers)Cancer, Hypoxia, and Metabolism (3 papers)

In The Last Decade

Mingzhe Li

17 papers receiving 676 citations

Hit Papers

Predicting 30-days mortality for MIMIC-III patients with ...20202026202220242020100200300

Peers

Mingzhe Li
Comparison fields: 5 of 108
  • Molecular Biology 236
  • Epidemiology 182
  • Cancer Research 171
  • Artificial Intelligence 100
  • Surgery 83
Replace Zhengyu Jiang with:
Zhengyu Jiang China
Nick S. Nurmohamed Netherlands
Shefali S. Verma United States
Yul Hwangbo South Korea
Thomas J. Raife United States
Moneeza K. Siddiqui United Kingdom
Yifan Chen China
Terrie Kitchner United States
Stephen T. Vernon Australia
Jie Weng China
Mingzhe Li relative to Zhengyu Jiang China Zhengyu Jiang's profile →
Citations per field
00.5×2.9×
Zhengyu Jiang · 1×
Citations per year

Countries citing papers authored by Mingzhe Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhe Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhe Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhe Li. A scholar is included among the top collaborators of Mingzhe Li 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 Mingzhe Li. Mingzhe Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 0
3 5
4 0
5 14
6 9
7 28
8 43
9
Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboostbreakdown →
307
10 9
11 27
12 3
13 47
14 2
15 46
16 22
17 30
18 43
19 40

About Mingzhe Li

Mingzhe Li is a scholar working on Cancer Research, Family Practice and Ophthalmology, having authored 19 papers that have together received 677 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (171 citations), Health Informatics (15 citations) and Family Practice (14 citations). Mingzhe Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bing Xie, Nianzong Hou, Lu He, Rumin Zhang, Yong Yu, Lin Wang, Xiaodong Sun, Kai Wang, Ping Xu and Yán Li. Their work appears in journals such as Food Chemistry, Experimental Cell Research and Food Research International.

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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