Min Cui

425 citations
20 papers · 319 · h-index 9

Impact in

Papers in

    • Intracerebral and Subarachnoid Hemorrhage Research 3
    • Long-Term Effects of COVID-19 2
    • Traumatic Brain Injury and Neurovascular Disturbances 2
    • Neurosurgical Procedures and Complications 2

Min Cui

17 papers receiving 313 citations

Peers

Min Cui
Comparison fields: 5 of 83
  • Applied Microbiology and Biotechnology 21
  • Molecular Medicine 40
  • Infectious Diseases 88
  • Neurology 48
  • Pharmacology 49
Replace Atanu Kumar Dutta with:
Atanu Kumar Dutta India
Nao Kawaguchi Japan
Filippo Luciani Italy
Jalil Rashedi Iran
Max Taubert Germany
Koichiro Atsuda Japan
Junbo Xia China
Noa Shafran Israel
Jennifer J. Harris United States
Min Cui relative to Atanu Kumar Dutta India Atanu Kumar Dutta's profile →
Citations per field
00.5×4.3×
Atanu Kumar Dutta · 1×
Citations per year

Countries citing papers authored by Min Cui

Since Specialization
Citations

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

Fields of papers citing papers by Min Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202078
2 201849
3 201538
4 201836
5 201526
6 202022
7 201316
8 201910
9 20179
10 20218
11 20188
12 20248
13 20184
14 20203
15 20192
16 20241
17 20231
18 20250
19 20240
20 20220

About Min Cui

Min Cui is a scholar working on Surgery, Neurology, Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Long-Term Effects of COVID-19 (2 papers), Metabolism, Diabetes, and Cancer (2 papers), COVID-19 Clinical Research Studies (2 papers), Diabetes Treatment and Management (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Neurosurgical Procedures and Complications (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (21 citations), Molecular Medicine (40 citations), Infectious Diseases (88 citations), Neurology (48 citations) and Pharmacology (49 citations). Min Cui has collaborated with scholars based in China and United States. Frequent co-authors include Zhi‐Chun Gu, Zai-Li Zhang, Yuan Gao, Qiaolian Wang, Guang Chen, Ping Yao, Xiaoyan Liu, Hou‐Wen Lin, Yan Wang and Yuetian Yu. Their work appears in journals such as Medicine, Scientific Reports, Annals of Palliative Medicine, BMJ Open Gastroenterology and Human Pathology.

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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