Xiao-Ming Cui

49 papers receiving 922 citations

Peers

Xiao-Ming Cui
Comparison fields: 5 of 111
  • Parasitology 237
  • Infectious Diseases 322
  • Pharmaceutical Science 55
  • Ecology, Evolution, Behavior and Systematics 156
  • Biomaterials 105
Replace Kristýna Venclíková with:
Kristýna Venclíková Czechia
Xuepeng Cai China
J.A. Verschoor South Africa
Markus v. Nickisch-Rosenegk Germany
Carolina Camargo de Oliveira Brazil
Reza Zolfaghari Emameh Iran
Shigeharu Sato Japan
Sapna Sharma India
Beth L. Hahn United States
Koushlesh Ranjan India
Xiao-Ming Cui relative to Kristýna Venclíková Czechia Kristýna Venclíková's profile →
Citations per field
00.5×2×4×6.6×
Kristýna Venclíková · 1×
Citations per year

Countries citing papers authored by Xiao-Ming Cui

Since Specialization
Citations

This map shows the geographic impact of Xiao-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 Xiao-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 Xiao-Ming Cui more than expected).

Fields of papers citing papers by Xiao-Ming Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiao-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 Xiao-Ming Cui Line = papers co-authored together Xiao-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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018155
2 202091
3 202063
4 201852
5 202140
6 201934
7 202134
8 202234
9 202131
10 202330
11 201629
12 202127
13 201626
14 202020
15 202119
16 201419
17 202018
18 202418
19 202117
20 202015

About Xiao-Ming Cui

Xiao-Ming Cui is a scholar working on Parasitology, Infectious Diseases, Insect Science, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 942 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (20 papers), Viral Infections and Vectors (16 papers), Insect symbiosis and bacterial influences (8 papers), Vector-Borne Animal Diseases (6 papers), Mosquito-borne diseases and control (4 papers), Electrocatalysts for Energy Conversion (3 papers), Advanced battery technologies research (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Parasitology (237 citations), Infectious Diseases (322 citations), Pharmaceutical Science (55 citations), Ecology, Evolution, Behavior and Systematics (156 citations) and Biomaterials (105 citations). Xiao-Ming Cui has collaborated with scholars based in China, Belarus and United States. Frequent co-authors include Weifen Zhang, Wu‐Chun Cao, Wei Yong Liu, Jian-Gong Hu, Zhilu Xu, Weifen Zhang, Lu Zhuang, Ning Cui, Zhen‐Dong Yang and Wentong Li. Their work appears in journals such as Emerging infectious diseases, Frontiers in Bioengineering and Biotechnology, BMJ Open, Microbiology Spectrum and Vector-Borne and Zoonotic Diseases.

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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