Table 4_Mapping the knowledge landscape of Pseudomonas aeruginosa biofilm-mediated drug re

6,537 publications from Web of Science and Scopus form the core of this bibliometric analysis on Pseudomonas aeruginosa biofilm-mediated drug resistance. The dataset, created by Peng Zhao and updated in June 2026, includes a supplementary review of 6 published clinical studies and 18 registered interventional trials. Keyword clustering identified three major research directions, including novel antibacterial interventions and clinical translation.

Use Cases

• Analyze global research trends and collaboration networks based on the bibliometric analysis of 6,537 publications.
• Identify emerging research hotspots and temporal shifts in focus based on keyword clustering and temporal analyses described.
• Survey the clinical trial landscape for anti-biofilm strategies based on the review of 18 registered interventional trials.
• Map country-level research productivity and international collaboration patterns based on the analysis of contributions from China, the US, and India.

Strengths

• Bibliometric analysis is based on 6,537 publications from two major databases (Web of Science and Scopus).
• Includes a supplementary clinical component reviewing 6 published studies and 18 registered trials.
• Covers a defined time range from 2014 to 2025, showing steady growth in research output.

Limitations

• The dataset is a 25.5 KB DOCX document, indicating a limited scope primarily containing analysis text rather than raw data.
• Row count and column-level documentation are unknown; the actual structured data used for the analysis is not provided.
• Data may reflect the geographic and source bias inherent to the bibliographic databases used.

Provenance

Source

Publications retrieved from Web of Science Core Collection and Scopus; clinical trials from unspecified registries.

Collection Method

Bibliometric analysis and supplementary narrative review of clinical studies/trials.

Time Range

2014-2025

Freshness

Last updated 2026-06-01 04:21:16

Geography

Global, with specific mention of China, the United States, and India as most productive countries.