Kai Cui

3.3k citations
141 papers · 2.4k · h-index 27

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

Kai Cui

130 papers receiving 2.3k citations

Peers

Kai Cui
Comparison fields: 5 of 134
  • Cancer Research 567
  • Oncology 308
  • Molecular Biology 833
  • Psychiatry and Mental health 164
  • Obstetrics and Gynecology 80
Replace Yasuhiro Akai with:
Yasuhiro Akai Japan
Hideo Yasuda Japan
R. Zimmermann Germany
Hong Liu China
Haiping Mao China
Yaoming Xue China
Xin Zhou China
Jianjun Xu China
Holger Rumpold Austria
Roberto Miano Italy
Kai Cui relative to Yasuhiro Akai Japan Yasuhiro Akai's profile →
Citations per field
00.5×3.3×
Yasuhiro Akai · 1×
Citations per year

Countries citing papers authored by Kai Cui

Since Specialization
Citations

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

Fields of papers citing papers by Kai Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013165
2 2011164
3 200897
4 200777
5 201375
6 201057
7 201853
8 201649
9 201047
10 201445
11 202044
12 201344
13 201639
14 201538
15 202237
16 201737
17 201136
18 201836
19 201534
20 201634

About Kai Cui

Kai Cui is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Psychiatry and Mental health, having authored 141 papers that have together received 2.4k indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (14 papers), MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (9 papers), Hormonal and reproductive studies (7 papers), Cancer Cells and Metastasis (6 papers), Occupational and environmental lung diseases (6 papers), Urinary Bladder and Prostate Research (5 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers). The work is most often cited by research in Cancer Research (567 citations), Oncology (308 citations), Molecular Biology (833 citations), Psychiatry and Mental health (164 citations) and Obstetrics and Gynecology (80 citations). Kai Cui has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Weidong Xie, Yaou Zhang, Sheng Li, Jianna Li, Dayong Gu, Zhong Chen, Shaogang Wang, Mengyang Zhang, Ke Rao and Jie He. Their work appears in journals such as PLoS ONE, The Journal of Sexual Medicine, Scientific Reports, Andrology and Andrologia.

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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