Rufeng Bai

618 total citations
38 papers, 331 citations indexed

About

Rufeng Bai is a scholar working on Genetics, Molecular Biology and Rehabilitation. According to data from OpenAlex, Rufeng Bai has authored 38 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 18 papers in Molecular Biology and 5 papers in Rehabilitation. Recurrent topics in Rufeng Bai's work include Forensic and Genetic Research (25 papers), Molecular Biology Techniques and Applications (14 papers) and Race, Genetics, and Society (7 papers). Rufeng Bai is often cited by papers focused on Forensic and Genetic Research (25 papers), Molecular Biology Techniques and Applications (14 papers) and Race, Genetics, and Society (7 papers). Rufeng Bai collaborates with scholars based in China and Czechia. Rufeng Bai's co-authors include Meisen Shi, Xiaojun Yu, Junhong Sun, Qiu-xiang Du, Shuhua Ma, Yaju Liu, Na Li, Zhong Zhang, Hai‐Ying Jin and Zheng Li and has published in prestigious journals such as Scientific Reports, Computer Methods and Programs in Biomedicine and Forensic Science International.

In The Last Decade

Rufeng Bai

36 papers receiving 327 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rufeng Bai China 12 188 174 42 40 31 38 331
Jiří Beneš Czechia 11 18 0.1× 146 0.8× 10 0.2× 32 1.0× 23 332
Jian Yan China 11 31 0.2× 136 0.8× 8 0.2× 33 1.1× 25 383
Dapeng Sun China 10 36 0.2× 37 0.2× 66 1.6× 34 1.1× 43 333
Rhonda Trousdale United States 8 33 0.2× 97 0.6× 37 0.9× 2 0.1× 10 199
Dmitry A. Verbenko Russia 9 125 0.7× 41 0.2× 3 0.1× 20 0.5× 30 222
Meng Lin United States 9 90 0.5× 52 0.3× 8 0.2× 2 0.1× 14 242
Guangmin Nong China 9 38 0.2× 71 0.4× 4 0.1× 21 0.7× 25 266
Bożena Bruhn‐Olszewska Poland 9 60 0.3× 121 0.7× 48 1.1× 1 0.0× 15 254
Ji Hyun Lee South Korea 10 100 0.5× 188 1.1× 22 0.6× 1 0.0× 31 389
Hyunseok Jee South Korea 8 12 0.1× 135 0.8× 34 0.8× 10 0.3× 23 291

Countries citing papers authored by Rufeng Bai

Since Specialization
Citations

This map shows the geographic impact of Rufeng Bai'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 Rufeng Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rufeng Bai more than expected).

Fields of papers citing papers by Rufeng Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rufeng Bai. 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 Rufeng Bai. The network helps show where Rufeng Bai may publish in the future.

Co-authorship network of co-authors of Rufeng Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Rufeng Bai. A scholar is included among the top collaborators of Rufeng Bai 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 Rufeng Bai. Rufeng Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gao, Yu, et al.. (2025). Artificial intelligence in forensic pathology: Multi-organ postmortem pathomics for estimating postmortem interval. Computer Methods and Programs in Biomedicine. 270. 108949–108949.
2.
Li, Na, Rufeng Bai, Chun Li, et al.. (2021). Insight into molecular profile changes after skeletal muscle contusion using microarray and bioinformatics analyses. Bioscience Reports. 41(1). 11 indexed citations
3.
Li, Shuang, X. Q. Hao, Chuan‐Chao Wang, et al.. (2021). Forensic characteristics and phylogenetic analysis of the Chinese Han population from Chongqing Municipality, Southwest China. Legal Medicine. 53. 101954–101954. 1 indexed citations
4.
Gu, Zhen, et al.. (2020). Analysis of sensitivity and specificity: precise recognition of neutrophils during regeneration of contused skeletal muscle in rats. Forensic Sciences Research. 7(2). 228–237. 8 indexed citations
5.
Li, Na, Qiu-xiang Du, Rufeng Bai, & Junhong Sun. (2018). Vitality and wound-age estimation in forensic pathology: review and future prospects. Forensic Sciences Research. 5(1). 15–24. 38 indexed citations
6.
Wang, Xu, et al.. (2017). Evaluation of specific neural marker GAP-43 and TH combined with Masson-trichrome staining for forensic autopsy cases with old myocardial infarction. International Journal of Legal Medicine. 132(1). 187–195. 6 indexed citations
7.
Liu, Yaju, Lihong Guo, Hai‐Ying Jin, et al.. (2017). Developmental validation of a 6-dye typing system with 27 loci and application in Han population of China. Scientific Reports. 7(1). 4706–4706. 22 indexed citations
8.
Bai, Rufeng, Yaju Liu, Juntao Zhang, et al.. (2016). Analysis of 27 Y-chromosomal STR haplotypes in a Han population of Henan province, Central China. International Journal of Legal Medicine. 130(5). 1191–1194. 15 indexed citations
9.
Bai, Rufeng, Yaju Liu, Zheng Li, et al.. (2016). Developmental Validation of a novel 5 dye Y-STR System comprising the 27 YfilerPlus loci. Scientific Reports. 6(1). 29557–29557. 13 indexed citations
10.
Shi, Meisen, et al.. (2014). Population data of 30 insertion–deletion markers in four Chinese populations. International Journal of Legal Medicine. 129(1). 53–56. 16 indexed citations
11.
Bai, Rufeng, et al.. (2013). Genetic polymorphism and forensic application of 30 InDel loci of Han population in Beijing. Hereditas (Beijing). 35(12). 1368–1376. 3 indexed citations
12.
Bai, Rufeng, Shuhua Ma, Haidong Zhang, et al.. (2013). Forensic discrimination of three common brands of kitchen knives in China by ICP-AES and infrared absorption. International Journal of Legal Medicine. 128(2). 353–360. 2 indexed citations
13.
Bai, Rufeng, et al.. (2012). Polymorphism of 17 Y-STR loci in She ethnic population in Fujian and genetic relationship with 11 populations. Hereditas (Beijing). 34(8). 1020–1030. 6 indexed citations
14.
Shi, Meisen, et al.. (2011). Polymorphism of 17 Y-STR loci in Shanxi Han population and genetic relationship with 13 populations. Hereditas (Beijing). 33(3). 228–238. 3 indexed citations
15.
Bai, Rufeng, et al.. (2009). The Densities of Visceral Organs and the Extent of Pathologic Changes. American Journal of Forensic Medicine & Pathology. 30(2). 148–151. 4 indexed citations
16.
Shi, Meisen, et al.. (2008). Population genetics for Y-chromosomal STRs haplotypes of Chinese Tujia ethnic group. Forensic Science International Genetics. 2(4). e65–e68. 16 indexed citations
17.
Shi, Meisen, et al.. (2008). Haplotype diversity of 22 Y-chromosomal STRs in a southeast China population sample (Chaoshan area). Forensic Science International Genetics. 3(2). e45–e47. 9 indexed citations
18.
Bai, Rufeng, et al.. (2007). The time-dependent expressions of IL-1β, COX-2, MCP-1 mRNA in skin wounds of rabbits. Forensic Science International. 175(2-3). 193–197. 37 indexed citations
19.
Bai, Rufeng, et al.. (2006). Identify the injury implements by SEM/EDX and ICP-AES. Forensic Science International. 166(1). 8–13. 17 indexed citations
20.
Shi, Meisen, Yiping Hou, Jing Yan, Rufeng Bai, & Xiaojun Yu. (2006). 6 Y‐SNP Typing of China and Korean Samples Using Primer Extension and DHPLC. Journal of Forensic Sciences. 52(1). 235–236. 4 indexed citations

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.

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