Guanghui Ji
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Genetics top 5%
- Environmental Chemistry top 2%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Simón SilverRichard P. NovickRonald C. BeavisHope F. RossSteven J. ProjanSoraya L. MoghazehJohn KornblumFrançois Vandenesch
- Topics
- Bacterial Genetics and Biotechnology (5 papers)Advanced Proteomics Techniques and Applications (4 papers)Arsenic contamination and mitigation (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Clinical Oncology
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Guanghui Ji
28 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.2k
- Infectious Diseases 670
- Genetics 384
- Environmental Chemistry 321
- Health, Toxicology and Mutagenesis 281
Countries citing papers authored by Guanghui Ji
This map shows the geographic impact of Guanghui 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 Guanghui Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanghui Ji more than expected).
Fields of papers citing papers by Guanghui Ji
This network shows the impact of papers produced by Guanghui 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 Guanghui Ji. The network helps show where Guanghui Ji may publish in the future.
Co-authorship network of co-authors of Guanghui Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Guanghui Ji. A scholar is included among the top collaborators of Guanghui 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 Guanghui Ji. Guanghui Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | 25 | |
| 11 | 11 | |
| 12 | 17 | |
| 13 | 132 | |
| 14 | 268 | |
| 15 | 5 | |
| 16 | 19 | |
| 17 | Cell Density Control of Staphylococcal Virulence Mediated by an Octapeptide Pheromone | 8 |
| 18 | 71 | |
| 19 | 104 | |
| 20 | 36 |
About Guanghui Ji
Guanghui Ji is a scholar working on Environmental Chemistry, Spectroscopy and Infectious Diseases, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Arsenic contamination and mitigation (4 papers). The work is most often cited by research in Infectious Diseases (670 citations), Environmental Chemistry (321 citations) and Microbiology (136 citations). Guanghui Ji has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Simón Silver, Richard P. Novick, Ronald C. Beavis, Hope F. Ross, Steven J. Projan, Soraya L. Moghazeh, John Kornblum, François Vandenesch, Barry N. Kreiswirth and Philippe Corbisier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.