Luyang Cao

616 citations
14 papers · 507 · h-index 9

Impact in

    • Antimicrobial Peptides and Activities
  • Genetics top 10%
    • Venomous Animal Envenomation and Studies

Papers in

    • Biochemical and Structural Characterization 5
    • Advanced biosensing and bioanalysis techniques 1
    • Venomous Animal Envenomation and Studies 7

Luyang Cao

12 papers receiving 497 citations

Peers

Luyang Cao
Comparison fields: 5 of 61
  • Microbiology 343
  • Genetics 252
  • Molecular Biology 344
  • Immunology 55
  • Pharmacology 37
Replace Cibele Nicolaski Pedron with:
Cibele Nicolaski Pedron Brazil
Valentin A. Manuvera Russia
Innokentii E. Vishnyakov Russia
Ana Sousa Manso United Kingdom
Ranganath Gudimella Malaysia
Matteo De Chiara France
Francisco S. Mesquita Switzerland
Chun-Ting Zhang China
Paige Pardington United States
Luyang Cao relative to Cibele Nicolaski Pedron Brazil Cibele Nicolaski Pedron's profile →
Citations per field
00.5×7.8×
Cibele Nicolaski Pedron · 1×
Citations per year

Countries citing papers authored by Luyang Cao

Since Specialization
Citations

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

Fields of papers citing papers by Luyang Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2011117
2 2012104
3 201265
4 201157
5 201253
6 201442
7 200931
8 202218
9 20248
10 20238
11 20222
12 20202
13 20250
14 20250

About Luyang Cao

Luyang Cao is a scholar working on Molecular Biology, Genetics, Microbiology, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 14 papers that have together received 507 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (7 papers), Antimicrobial Peptides and Activities (6 papers), Biochemical and Structural Characterization (5 papers), COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), interferon and immune responses (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Microbiology (343 citations), Genetics (252 citations), Molecular Biology (344 citations), Immunology (55 citations) and Pharmacology (37 citations). Luyang Cao has collaborated with scholars based in China. Frequent co-authors include Zhijian Cao, Yingliang Wu, Wenxin Li, Zhongjie Li, Zheng Fan, Yu Song, Dai Chao, Qiaoli Li, Yao-Qing Chen and Huimin Yan. Their work appears in journals such as PLoS ONE, Peptides, Biomedical Signal Processing and Control, European Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

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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