Soybean Breeding Trends and IP Landscape from 2013 to 2023

2013–2023 bibliometric analysis of soybean breeding research and patents, using data from Web of Science and Orbit Intelligence. The dataset includes 2.5 MB of files in DOCX and XLSX formats, authored by Maria Fernanda Sua-Rojas and last updated on 2026-05-05. It examines publication and patent trends, key contributors, and emerging research directions.

Use Cases

• Analyze annual trends in soybean research publications and patent filings based on the described time series data.
• Identify key contributing countries and organizations in soybean breeding based on the described collaboration and contributor analysis.
• Map co-occurrence networks and emerging research keywords based on the described bibliometric analysis.
• Compare the intellectual property landscape between major players like M S Technologies and Monsanto Technology LLC based on the described patent records.

Strengths

• Data covers a defined 10-year period from 2013 to 2023.
• Analysis is based on two established sources: Web of Science and Orbit Intelligence databases.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is small at 2.5 MB, suggesting it contains summary or analysis outputs rather than raw bibliographic records.
• Last updated 2026-05-05; freshness should be verified as the date is in the future relative to the analysis period.

Provenance

Source

Web of Science and Orbit Intelligence databases

Collection Method

Bibliometric analysis using the Bibliometrix package in R and Gephi for visual analysis.

Time Range

2013–2023

Freshness

Last updated 2026-05-05 07:48:17

Geography

Global, with specific mention of China and the United States as primary contributors.