 
    法医学杂志 ›› 2025, Vol. 41 ›› Issue (3): 217-227.DOI: 10.12116/j.issn.1004-5619.2024.541105
        
               		谢宝颜1,2( ), 夏若成2(
), 夏若成2( ), 蒋婷婷3, 陶瑞旸2(
), 蒋婷婷3, 陶瑞旸2( ), 李成涛1,4(
), 李成涛1,4( )
)
                  
        
        
        
        
    
收稿日期:2024-11-28
									
				
									
				
									
				
											发布日期:2025-09-15
									
				
											出版日期:2025-06-25
									
			通讯作者:
					陶瑞旸,李成涛
							作者简介:谢宝颜(1998—),男,硕士研究生,主要从事法医遗传学研究;E-mail:2022110052@stu.immu.edu.cn基金资助:
        
               		Bao-yan XIE1,2( ), Ruo-cheng XIA2(
), Ruo-cheng XIA2( ), Ting-ting JIANG3, Rui-yang TAO2(
), Ting-ting JIANG3, Rui-yang TAO2( ), Cheng-tao LI1,4(
), Cheng-tao LI1,4( )
)
			  
			
			
			
                
        
    
Received:2024-11-28
									
				
									
				
									
				
											Online:2025-09-15
									
				
											Published:2025-06-25
									
			Contact:
					Rui-yang TAO, Cheng-tao LI   
							摘要:
目的 分析Web of Science核心合集(Web of Science Core Collection,WoSCC)数据库中2000—2023年收录的法医学体液鉴定研究领域文献,探索该领域的研究现状、热点及发展趋势。 方法 利用CiteSpace软件对2000—2023年WoSCC数据库中收录的法医学体液鉴定领域文献进行可视化分析。同时,对文献的年发文量、期刊分布、国家贡献、研究机构、作者合作、关键词进行文献计量分析。 结果 共纳入715篇法医学体液鉴定领域的文献,年发文量呈持续且稳定增长的趋势。在55个发文国家(地区)中,美国以174篇文献位居首位,中国次之,共发表了107篇。在发表期刊方面,载文量最多的期刊是Forensic Science International: Genetics,在该杂志上发表的文献占总发文量的20%。在作者贡献方面,共2 079位作者参与了体液鉴定的相关研究,作者合作网络图谱呈现出明显的聚类分布。关键词分析结果表明,法医学体液鉴定领域的研究热点主要聚焦于传统方法、特异性RNA分子标记、DNA甲基化、光谱法以及微生物组学的应用。 结论 法医学体液鉴定领域的研究成果丰富,研究机构和团队应加强合作。建立统一的结果解读标准与体系、探索多种生物标记的联用方法是该领域未来研究的热点与重要方向。
中图分类号:
谢宝颜, 夏若成, 蒋婷婷, 陶瑞旸, 李成涛. 法医学体液鉴定研究的文献计量及可视化分析[J]. 法医学杂志, 2025, 41(3): 217-227.
Bao-yan XIE, Ruo-cheng XIA, Ting-ting JIANG, Rui-yang TAO, Cheng-tao LI. Bibliometric and Visual Analysis of Forensic Research on Body Fluid Identification[J]. Journal of Forensic Medicine, 2025, 41(3): 217-227.
 
																													图1 2000—2023年法医学体液鉴定领域发文量及年均被引趋势蓝色曲线表示发文量;红色曲线表示被引频次。
Fig. 1 Publication volume and trends in average annual citations in the field of forensic body fluididentification from 2000 to 2023
| 期刊 | 发文量/篇 | h指数 | g指数 | m指数 | 被引频次 | 影响因子 | 分区 | 
|---|---|---|---|---|---|---|---|
| Forensic Science International: Genetics | 143 | 39 | 56 | 2.167 | 3 997 | 3.2 | Q1 | 
| Forensic Science International | 80 | 27 | 52 | 1.080 | 2 785 | 2.2 | Q1 | 
| Journal of Forensic Sciences | 76 | 23 | 40 | 0.920 | 1 727 | 1.5 | Q2 | 
| International Journal of Legal Medicine | 62 | 22 | 41 | 1.000 | 1 802 | 2.2 | Q1 | 
| Science & Justice | 43 | 16 | 23 | 0.696 | 586 | 1.9 | Q2 | 
| Analytical Chemistry | 29 | 11 | 11 | 0.688 | 550 | 6.7 | Q1 | 
| Electrophoresis | 22 | 11 | 18 | 1.000 | 335 | 3.0 | Q2 | 
| Legal Medicine | 12 | 10 | 16 | 0.714 | 311 | 1.3 | Q3 | 
| Analytical and Bioanalytical Chemistry | 11 | 9 | 9 | 0.600 | 343 | 3.8 | Q1 | 
| Journal of Forensic and Legal Medicine | 9 | 8 | 11 | 0.667 | 134 | 1.2 | Q3 | 
表1 发文量排名前十期刊的发文量及评价指标
Tab. 1 Publication volume and evaluation indexes of the top 10 journals ranked by publication volume
| 期刊 | 发文量/篇 | h指数 | g指数 | m指数 | 被引频次 | 影响因子 | 分区 | 
|---|---|---|---|---|---|---|---|
| Forensic Science International: Genetics | 143 | 39 | 56 | 2.167 | 3 997 | 3.2 | Q1 | 
| Forensic Science International | 80 | 27 | 52 | 1.080 | 2 785 | 2.2 | Q1 | 
| Journal of Forensic Sciences | 76 | 23 | 40 | 0.920 | 1 727 | 1.5 | Q2 | 
| International Journal of Legal Medicine | 62 | 22 | 41 | 1.000 | 1 802 | 2.2 | Q1 | 
| Science & Justice | 43 | 16 | 23 | 0.696 | 586 | 1.9 | Q2 | 
| Analytical Chemistry | 29 | 11 | 11 | 0.688 | 550 | 6.7 | Q1 | 
| Electrophoresis | 22 | 11 | 18 | 1.000 | 335 | 3.0 | Q2 | 
| Legal Medicine | 12 | 10 | 16 | 0.714 | 311 | 1.3 | Q3 | 
| Analytical and Bioanalytical Chemistry | 11 | 9 | 9 | 0.600 | 343 | 3.8 | Q1 | 
| Journal of Forensic and Legal Medicine | 9 | 8 | 11 | 0.667 | 134 | 1.2 | Q3 | 
 
																													图2 法医学体液鉴定领域国家(地区)合作共现网络图谱节点大小代表国家(地区)的发文量,节点越大即发文量越高;外圈标记为粉紫色的节点表示其中介中心性>0.1,节点内圈的颜色代表发文年份;节点之间连线的粗细代表合作关系的强弱,颜色对应节点代表首次共现的时间。
Fig. 2 Co-occurrence network map for countries (regions)cooperation in the field of forensicbody fluid identification
 
																													图3 法医学体液鉴定领域机构合作共现网络图谱节点大小代表机构的发文量,节点越大即发文量越高;节点内圆圈的颜色代表发文年份;节点之间连线的粗细代表合作关系的强弱,颜色对应节点代表首次共现的时间。
Fig. 3 Co-occurrence network map for institutionalcooperation in the field of forensicbody fluid identification
| 作者 | 发文量/篇 | 被引频次 | h指数 | g指数 | m指数 | 起始发文年份 | 
|---|---|---|---|---|---|---|
| Lednev,IK | 46 | 2 516 | 26 | 46 | 1.529 | 2008 | 
| Haas,C | 30 | 1 174 | 19 | 30 | 1.188 | 2009 | 
| Ballantyne,J | 29 | 1 756 | 21 | 29 | 1.000 | 2004 | 
| Sijen,T | 17 | 921 | 15 | 17 | 1.071 | 2011 | 
| Akutsu,T | 27 | 412 | 14 | 19 | 0.933 | 2010 | 
| Watanabe,K | 26 | 412 | 14 | 19 | 0.933 | 2010 | 
| Kayser,M | 15 | 1 266 | 14 | 15 | 0.824 | 2008 | 
| Hanson,E | 18 | 683 | 13 | 18 | 0.929 | 2011 | 
| Sakurada,K | 23 | 324 | 13 | 17 | 0.867 | 2010 | 
| Berti,A | 13 | 498 | 11 | 13 | 0.579 | 2006 | 
表2 发文量排名前十作者的被引频次及其科学评价指数
Tab. 2 Citation frequencies and scientific evaluation indexes of the top 10 authors ranked by publication volume
| 作者 | 发文量/篇 | 被引频次 | h指数 | g指数 | m指数 | 起始发文年份 | 
|---|---|---|---|---|---|---|
| Lednev,IK | 46 | 2 516 | 26 | 46 | 1.529 | 2008 | 
| Haas,C | 30 | 1 174 | 19 | 30 | 1.188 | 2009 | 
| Ballantyne,J | 29 | 1 756 | 21 | 29 | 1.000 | 2004 | 
| Sijen,T | 17 | 921 | 15 | 17 | 1.071 | 2011 | 
| Akutsu,T | 27 | 412 | 14 | 19 | 0.933 | 2010 | 
| Watanabe,K | 26 | 412 | 14 | 19 | 0.933 | 2010 | 
| Kayser,M | 15 | 1 266 | 14 | 15 | 0.824 | 2008 | 
| Hanson,E | 18 | 683 | 13 | 18 | 0.929 | 2011 | 
| Sakurada,K | 23 | 324 | 13 | 17 | 0.867 | 2010 | 
| Berti,A | 13 | 498 | 11 | 13 | 0.579 | 2006 | 
 
																													图4 法医学体液鉴定领域作者合作共现网络图谱节点大小代表作者的发文量,节点越大即发文量越多;节点内圈的颜色代表发文年份;节点之间连线的粗细代表合作关系的强弱,颜色对应节点代表首次共现的时间。
Fig. 4 Co-occurrence network map for author cooperation in the field of forensic body fluid identification
 
																													图5 法医学体液鉴定领域关键词聚类共现网络图谱节点大小代表关键词出现的频次,节点越大即频次越高;节点外圈的粉色表示该节点中介中心性>0.1,节点内圈的颜色代表发文年份,颜色对应节点代表首次共现的时间。
Fig. 5 Co-occurrence network map for keywords clustering in the field of forensic body fluid identification
 
																													图6 法医学体液鉴定领域关键词时区图谱节点大小代表关键词出现的频次,节点越大即频次越高;节点所在位置代表其首次出现的年份,节点内圈的颜色代表发文年份;节点之间连线的粗细代表关键词间联系的强弱,颜色对应节点代表首次共现的时间。
Fig. 6 Timezone map for keywords in the field of forensic body fluid identification
 
																													图7 2000—2023年法医学体液鉴定领域的突现关键词每个单元格代表1年的时间跨度,深蓝色表示在该年度内此关键词出现,而红色则表示发文数量激增持续的时期。
Fig. 7 Burst keywords in the field of forensic bodyfluid identification from 2000 to 2023
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