Current Biotechnology ›› 2026, Vol. 16 ›› Issue (4): 941-951.DOI: 10.19586/j.2095-2341.2026.0013
• Articles • Previous Articles Next Articles
Pan WEI1(
), Peijian CAO1,2, Qiansi CHEN1(
)
Received:2026-01-09
Accepted:2026-03-31
Online:2026-07-25
Published:2026-09-11
Contact:
Qiansi CHEN
CLC Number:
Pan WEI, Peijian CAO, Qiansi CHEN. Current Status and Hotspot Analysis on Tobacco Biotechnology Research Based on Bibliometrics[J]. Current Biotechnology, 2026, 16(4): 941-951.
| 分析类型 | 分析单位 | 计数方法 | 阈值设置 | 特殊处理 |
|---|---|---|---|---|
| 关键词共现 | All keywords | Full counting | 出现频次≥5次 | 同义词合并,剔除宽泛词汇 |
| 国家合作 | Countries | Full counting | 发文量≥5篇 | - |
| 时间演进 | 关键词 | - | 切片跨度4年 | 颜色映射平均年份 |
Table 1 VOSviewer key parameter settings
| 分析类型 | 分析单位 | 计数方法 | 阈值设置 | 特殊处理 |
|---|---|---|---|---|
| 关键词共现 | All keywords | Full counting | 出现频次≥5次 | 同义词合并,剔除宽泛词汇 |
| 国家合作 | Countries | Full counting | 发文量≥5篇 | - |
| 时间演进 | 关键词 | - | 切片跨度4年 | 颜色映射平均年份 |
| 阶段 | 特征 | 演进意义 |
|---|---|---|
| 第一阶段(2005—2012):基础技术奠基期 | 高频关键词集中于农杆菌(Agrobacterium)、转基因植物(transgenic plants)、愈伤组织(callus)、抗菌(antibacterial),这表明研究核心是遗传转化体系的优化和抗性性状的初步导入 | 为烟草作为生物技术底盘奠定了成熟的遗传操作基础 |
| 第二阶段(2013—2018):分子机制解析与多用途探索期 | 基因表达(gene expression)、代谢工程(metabolic engineering)、重组蛋白(recombinant protein)、疫苗(vaccine)等关键词突现,研究焦点从“能否转化”转向“如何精确调控”和“用于生产什么” | 标志着烟草从模式植物向“生物反应器”和“合成生物学底盘”概念拓展,基础研究与应用开发开始结合 |
| 第三阶段(2019—2024):前沿交叉与精准智能化期 | CRISPR/Cas9、合成生物学(synthetic biology)、纳米颗粒(nanoparticles)、微生物组(microbiome)、机器学习(machine learning)成为最强突显词,研究呈现工具革命性(基因编辑)、系统集成性(合成生物学)、尺度交叉性(纳米-生物界面)和方法智能化特征 | 烟草生物技术深度融入生命科学前沿,致力于解决精准育种、绿色生物制造、智能农业等更复杂挑战 |
Table 2 Analysis of the evolutionary trajectory of tobacco biotechnology research
| 阶段 | 特征 | 演进意义 |
|---|---|---|
| 第一阶段(2005—2012):基础技术奠基期 | 高频关键词集中于农杆菌(Agrobacterium)、转基因植物(transgenic plants)、愈伤组织(callus)、抗菌(antibacterial),这表明研究核心是遗传转化体系的优化和抗性性状的初步导入 | 为烟草作为生物技术底盘奠定了成熟的遗传操作基础 |
| 第二阶段(2013—2018):分子机制解析与多用途探索期 | 基因表达(gene expression)、代谢工程(metabolic engineering)、重组蛋白(recombinant protein)、疫苗(vaccine)等关键词突现,研究焦点从“能否转化”转向“如何精确调控”和“用于生产什么” | 标志着烟草从模式植物向“生物反应器”和“合成生物学底盘”概念拓展,基础研究与应用开发开始结合 |
| 第三阶段(2019—2024):前沿交叉与精准智能化期 | CRISPR/Cas9、合成生物学(synthetic biology)、纳米颗粒(nanoparticles)、微生物组(microbiome)、机器学习(machine learning)成为最强突显词,研究呈现工具革命性(基因编辑)、系统集成性(合成生物学)、尺度交叉性(纳米-生物界面)和方法智能化特征 | 烟草生物技术深度融入生命科学前沿,致力于解决精准育种、绿色生物制造、智能农业等更复杂挑战 |
| 排名 | 国家 | 高被引论文数/篇 | 占全球比例/% | 三大顶刊系列论文数/篇 |
|---|---|---|---|---|
| 1 | 美国 | 18 | 62.1 | 32 |
| 2 | 中国 | 6 | 20.7 | 11 |
| 3 | 德国 | 3 | 10.3 | 5 |
| 4 | 英国 | 2 | 6.9 | 4 |
Table 3 Distribution of highly cited papers and top-journal papers by country
| 排名 | 国家 | 高被引论文数/篇 | 占全球比例/% | 三大顶刊系列论文数/篇 |
|---|---|---|---|---|
| 1 | 美国 | 18 | 62.1 | 32 |
| 2 | 中国 | 6 | 20.7 | 11 |
| 3 | 德国 | 3 | 10.3 | 5 |
| 4 | 英国 | 2 | 6.9 | 4 |
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