Guangyong Ji

2.7k citations
13 papers · 2.1k indexed · 1 hit paper · h-index 13
Topics
Antimicrobial Resistance in Staphylococcus (7 papers)Bacterial biofilms and quorum sensing (6 papers)Biochemical and Structural Characterization (4 papers)

In The Last Decade

Guangyong Ji

13 papers receiving 2.0k citations

Hit Papers

Bacterial Interference Caused by Autoinducing Peptide Var...19972026200620161997200400600

Peers

Guangyong Ji
Comparison fields: 5 of 91
  • Molecular Biology 1.4k
  • Infectious Diseases 943
  • Genetics 386
  • Environmental Chemistry 323
  • Health, Toxicology and Mutagenesis 308
Replace G. Sundheim with:
G. Sundheim Norway
Jörg Wecke Germany
Jan R. van der Ploeg Switzerland
Rick W. Ye United States
Brian J. Mee Australia
Stacy O. Montgomery United States
Anahit Penesyan Australia
Bernd Nörtemann Germany
Vilma A. Stanisich Australia
Nicky C. Caiazza United States
Guangyong Ji relative to G. Sundheim Norway G. Sundheim's profile →
Citations per field
00.5×4.7×
G. Sundheim · 1×
Citations per year

Countries citing papers authored by Guangyong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Guangyong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyong Ji. A scholar is included among the top collaborators of Guangyong Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guangyong Ji. Guangyong Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 60
2 45
3 55
4 40
5 96
6 347
7 191
8
Bacterial Interference Caused by Autoinducing Peptide Variantsbreakdown →
630
9 133
10 113
11 259
12 31
13 59

About Guangyong Ji

Guangyong Ji is a scholar working on Microbiology, Infectious Diseases and Environmental Chemistry, having authored 13 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial biofilms and quorum sensing (6 papers) and Biochemical and Structural Characterization (4 papers). The work is most often cited by research in Infectious Diseases (943 citations), Microbiology (306 citations) and Environmental Chemistry (323 citations). Guangyong Ji has collaborated with scholars based in United States, France and Mexico. Frequent co-authors include Richard P. Novick, Ronald C. Beavis, Simón Silver, Linsheng Zhang, Carlos Cervantes, Michael Goger, Tom W. Muir, Hongmei Yang, Jianqun Lin and Gérard Lina. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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