Ming Cui

3.9k citations
92 papers · 3.2k · h-index 33

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
    • Gut microbiota and health

Papers in

Ming Cui

80 papers receiving 3.1k citations

Peers

Ming Cui
Comparison fields: 5 of 112
  • Cancer Research 1k
  • Molecular Biology 1.1k
  • Radiology, Nuclear Medicine and Imaging 378
  • Periodontics 63
  • Biological Psychiatry 11
Replace William J. Israelsen with:
William J. Israelsen United States
Liang‐Chuan Lai Taiwan
Hua Zhong China
Jun Du China
Chunyan Li China
Rui R Liu China
Fan Li China
Jun Hee Lee South Korea
Guihua Wang China
Ming Cui relative to William J. Israelsen United States William J. Israelsen's profile →
Citations per field
00.5×5×10.8×
William J. Israelsen · 1×
Citations per year

Countries citing papers authored by Ming Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015324
2 2017263
3 2020193
4 2015173
5 2020143
6 201499
7 201890
8 201586
9 201384
10 201384
11 201470
12 201670
13 201870
14 202069
15 202169
16 202260
17 201457
18 202357
19 201654
20 201751

About Ming Cui

Ming Cui is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Molecular Biology and Oncology, having authored 92 papers that have together received 3.2k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (22 papers), Gut microbiota and health (14 papers), Advanced Numerical Methods in Computational Mathematics (13 papers), Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer, Lipids, and Metabolism (5 papers) and Radiation Therapy and Dosimetry (3 papers). The work is most often cited by research in Cancer Research (1k citations), Molecular Biology (1.1k citations), Radiology, Nuclear Medicine and Imaging (378 citations), Periodontics (63 citations) and Biological Psychiatry (11 citations). Ming Cui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huiwen Xiao, Saijun Fan, Jiali Dong, Xiaodong Zhang, Lihong Ye, Baodi Sun, Zelin Xiao, Shuqin Zhang, Haichao Wang and Minying Zheng. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences, Cell Reports, Environmental Pollution and Numerical Methods for Partial Differential Equations.

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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