Qifan Sun

495 total citations
27 papers, 355 citations indexed

About

Qifan Sun is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Qifan Sun has authored 27 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Qifan Sun's work include Molecular Biology Techniques and Applications (9 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Qifan Sun is often cited by papers focused on Molecular Biology Techniques and Applications (9 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Qifan Sun collaborates with scholars based in China, Türkiye and Czechia. Qifan Sun's co-authors include Anquan Ji, Qingping Wu, Moutong Chen, Caixia Li, Li Jiang, Qinghua Ye, Yi‐Liang Wei, Hongxia He, Jumei Zhang and Sheng Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Qifan Sun

26 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qifan Sun China 11 182 138 84 73 54 27 355
Casey C. Fowler Canada 9 307 1.7× 100 0.7× 58 0.7× 43 0.6× 11 0.2× 18 421
Frédéric Grenier Canada 11 432 2.4× 130 0.9× 34 0.4× 102 1.4× 22 0.4× 19 573
Angelo Cabal United States 5 342 1.9× 240 1.7× 20 0.2× 145 2.0× 29 0.5× 10 483
Leslie K. Morgan United States 8 298 1.6× 159 1.2× 64 0.8× 76 1.0× 13 0.2× 11 468
Sherry M. Carty United States 7 343 1.9× 153 1.1× 32 0.4× 44 0.6× 17 0.3× 7 491
Samuel Miravet‐Verde Spain 10 220 1.2× 53 0.4× 16 0.2× 77 1.1× 10 0.2× 16 303
Diana Ideses Israel 10 275 1.5× 70 0.5× 33 0.4× 16 0.2× 8 0.1× 15 371
Ritesh Ranjan Pal India 10 186 1.0× 121 0.9× 50 0.6× 50 0.7× 8 0.1× 15 355
Maria Stella Carlomagno Italy 8 284 1.6× 124 0.9× 33 0.4× 81 1.1× 15 0.3× 8 374
V. A. Lanzov Russia 14 563 3.1× 291 2.1× 17 0.2× 97 1.3× 16 0.3× 46 662

Countries citing papers authored by Qifan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Qifan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qifan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Qifan Sun. A scholar is included among the top collaborators of Qifan Sun 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 Qifan Sun. Qifan Sun 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.
Sun, Qifan, et al.. (2025). Exploring lactylation and cancer biology: insights from pathogenesis to clinical applications. Frontiers in Cell and Developmental Biology. 13. 1598232–1598232. 1 indexed citations
2.
3.
Du, Wenchao, et al.. (2025). Equus mitochondrial pangenome reveals independent domestication imprints in donkeys and horses. Scientific Reports. 15(1). 6803–6803. 1 indexed citations
4.
5.
Zhang, Jian, et al.. (2024). Mass spectrometry-based proteomic analysis of biological stains identifies body fluids specific markers. Forensic Science International. 357. 112008–112008. 7 indexed citations
6.
Hu, Sheng, Ruifu Yang, Yixia Zhao, et al.. (2023). The screening and validation process of miR-223-3p for saliva identification. Legal Medicine. 65. 102312–102312. 1 indexed citations
7.
Hu, Sheng, Na Han, Guoli Wang, et al.. (2023). Screening and evaluation of endogenous reference genes for miRNA expression analysis in forensic body fluid samples. Forensic Science International Genetics. 63. 102827–102827. 11 indexed citations
8.
He, Hongxia, et al.. (2022). Estimating bloodstain formation time by quantitative analysis of mtDNA degradation. Forensic Science International. 339. 111411–111411. 1 indexed citations
9.
Sun, Qifan, Jianheng Cheng, Jingyi Li, et al.. (2022). A novel multiplex PCR method for simultaneous identification of hypervirulent Listeria monocytogenes clonal complex 87 and CC88 strains in China. International Journal of Food Microbiology. 366. 109558–109558. 7 indexed citations
10.
Hu, Sheng, Yixia Zhao, Zhe Wang, et al.. (2022). Application of Duplex Droplet Digital PCR Detection of miR-888 and miR-891a in Semen Identification.. SHILAP Revista de lepidopterología. 38(6). 719–725. 2 indexed citations
11.
Shang, Yuting, Qifan Sun, Qingping Wu, et al.. (2021). Isolation and Characterization of a Novel Salmonella Phage vB_SalP_TR2. Frontiers in Microbiology. 12. 664810–664810. 60 indexed citations
12.
Wang, Guoli, et al.. (2021). A new strategy for distinguishing menstrual blood from peripheral blood by the miR-451a/miR-21-5p ratio. Forensic Science International Genetics. 57. 102654–102654. 10 indexed citations
13.
Chen, Yuetao, Moutong Chen, Juan Wang, et al.. (2020). Heterogeneity, Characteristics, and Public Health Implications of Listeria monocytogenes in Ready-to-Eat Foods and Pasteurized Milk in China. Frontiers in Microbiology. 11. 642–642. 39 indexed citations
14.
He, Hongxia, Na Han, Chengjie Ji, et al.. (2020). Identification of five types of forensic body fluids based on stepwise discriminant analysis. Forensic Science International Genetics. 48. 102337–102337. 21 indexed citations
15.
He, Hongxia, Anquan Ji, Yixia Zhao, et al.. (2019). A stepwise strategy to distinguish menstrual blood from peripheral blood by Fisher’s discriminant function. International Journal of Legal Medicine. 134(3). 845–851. 18 indexed citations
16.
Chen, Fang, Jing Zhao, Junbo Li, et al.. (2018). Massively parallel sequencing of microRNA in bloodstains and evaluation of environmental influences on miRNA candidates using realtime polymerase chain reaction. Forensic Science International Genetics. 38. 32–38. 20 indexed citations
17.
Sun, Qifan, et al.. (2017). Twenty-seven continental ancestry-informative SNP analysis of bone remains to resolve a forensic case. Forensic Sciences Research. 4(4). 364–366. 4 indexed citations
18.
Wei, Yi‐Liang, Qifan Sun, Qing Li, et al.. (2016). Genetic structure and differentiation analysis of a Eurasian Uyghur population by use of 27 continental ancestry-informative SNPs. International Journal of Legal Medicine. 130(4). 897–903. 3 indexed citations
19.
Li, Caixia, A.J. Pakstis, Li Jiang, et al.. (2016). A panel of 74 AISNPs: Improved ancestry inference within Eastern Asia. Forensic Science International Genetics. 23. 101–110. 59 indexed citations
20.
Wei, Yi‐Liang, Lei Zhao, Qifan Sun, et al.. (2015). A single-tube 27-plex SNP assay for estimating individual ancestry and admixture from three continents. International Journal of Legal Medicine. 130(1). 27–37. 35 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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