Cuixiang Meng

1.2k citations
12 papers · 439 · h-index 9

Impact in

Papers in

    • Virus-based gene therapy research 7
    • Bacterial Genetics and Biotechnology 2
    • Respiratory viral infections research 6

Cuixiang Meng

12 papers receiving 431 citations

Peers

Cuixiang Meng
Comparison fields: 5 of 60
  • Molecular Medicine 44
  • Genetics 230
  • Infectious Diseases 84
  • Molecular Biology 251
  • Pulmonary and Respiratory Medicine 107
Replace Ana Serna‐Gallego with:
Ana Serna‐Gallego Spain
Daniel H. F. Rubin United States
Simone Puccio Italy
Connie I. Lord United States
Noelia Salvador Spain
Tracy A. Stone Canada
Melody Toosky United States
Dejian Zhou China
Sen Zhang China
Muhammad Saleem United Kingdom
Cuixiang Meng relative to Ana Serna‐Gallego Spain Ana Serna‐Gallego's profile →
Citations per field
00.5×4.9×
Ana Serna‐Gallego · 1×
Citations per year

Countries citing papers authored by Cuixiang Meng

Since Specialization
Citations

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

Fields of papers citing papers by Cuixiang Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007108
2 201097
3 201279
4 200552
5 201032
6 200926
7 200912
8 200712
9 201811
10 20126
11 20153
12 20221

About Cuixiang Meng

Cuixiang Meng is a scholar working on Genetics, Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 12 papers that have together received 439 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Respiratory viral infections research (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Neonatal Respiratory Health Research (3 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial Genetics and Biotechnology (2 papers), Energy Harvesting in Wireless Networks (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Molecular Medicine (44 citations), Genetics (230 citations), Infectious Diseases (84 citations), Molecular Biology (251 citations) and Pulmonary and Respiratory Medicine (107 citations). Cuixiang Meng has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Xiaodong Zhang, Juan L. Ramos, María‐Trinidad Gallegos, Tino Krell, Yilmaz Alguel, Wilson Terán, Uta Griesenbach, Raymond Farley, Eric W.F.W. Alton and Mamoru Hasegawa. Their work appears in journals such as Biomaterials, Molecular Therapy, Current Gene Therapy, Genes & Development and The Journal of Gene Medicine.

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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