Jing Yan

1.1k total citations
50 papers, 755 citations indexed

About

Jing Yan is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Jing Yan has authored 50 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 20 papers in Genetics and 8 papers in Biomedical Engineering. Recurrent topics in Jing Yan's work include Forensic and Genetic Research (18 papers), Molecular Biology Techniques and Applications (15 papers) and Edible Oils Quality and Analysis (7 papers). Jing Yan is often cited by papers focused on Forensic and Genetic Research (18 papers), Molecular Biology Techniques and Applications (15 papers) and Edible Oils Quality and Analysis (7 papers). Jing Yan collaborates with scholars based in China, Netherlands and United States. Jing Yan's co-authors include Yiping Hou, Saskia M. van Ruth, Yi Ye, Haibo Luo, Zheng Wang, Ji Zhang, Luyao Li, Jiayi Hou, Sara W. Erasmus and Haibo Luo and has published in prestigious journals such as Food Chemistry, Molecules and Gene.

In The Last Decade

Jing Yan

46 papers receiving 748 citations

Peers

Jing Yan

GENET

Pavel V. Shliaha Denmark

Vladimir Gorshkov Denmark

Agneta Önfelt Sweden

Haley D.M. Wyatt Canada

Yanyun Wang China

Joël Couprie France

Chin‐Ju Park South Korea

Maria I. Zvereva Russia

Brian Ward United States

Ji Hye Lee South Korea

Pavel V. Shliaha Denmark

Jing Yan

1.0k ×2.1

105 ×0.4

GENET

40 ×0.4

63 ×0.7

14 ×0.2

Citations per year, relative to Jing Yan Jing Yan (= 1×) peers Pavel V. Shliaha

Countries citing papers authored by Jing Yan

Since Specialization

Citations

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

Fields of papers citing papers by Jing Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Cheng, Xinyu Bai, Jing Yan, et al.. (2025). Comprehensive plastome analysis in prickly pear cactus (Opuntia, Cactaceae), a key genus for sustainable fuel and food: Uncovering evolutionary dynamics and germplasm. Industrial Crops and Products. 234. 121477–121477.

Liu, Jing, Yuqing Feng, Cheng Chen, et al.. (2024). Genomic insights into the clonal reproductive Opuntia cochenillifera: mitochondrial and chloroplast genomes of the cochineal cactus for enhanced understanding of structural dynamics and evolutionary implications. Frontiers in Plant Science. 15. 1347945–1347945. 1 indexed citations

Yan, Jing, Cheng Chen, Jing Liu, et al.. (2024). Identification and invasive potential of Opuntia humifusa complex in China: Insights from morphology, plastid genomics, and niche modeling. Global Ecology and Conservation. 56. e03344–e03344. 1 indexed citations

Yan, Jing, et al.. (2024). Physicochemical characterization of thermally oxidized rapeseed oil: An insight into combining acoustic diagnostic technique and chemometrics. LWT. 212. 116994–116994.

Zhao, Ting, et al.. (2023). In Silico and Expression Analysis of Papain-Like Cysteine Proteinases (PLCP) Genes in Vitis vinifera to Predict Their Involvement in Hormonal Signaling and Disease Resistance. Journal of Plant Growth Regulation. 42(11). 7070–7082. 1 indexed citations

Yan, Jing, et al.. (2023). Portable optical spectroscopic assay for non-destructive measurement of key metabolic parameters on in vitro cancer cells and organotypic fresh tumor slices. Biomedical Optics Express. 14(8). 4065–4065. 4 indexed citations

Yan, Jing, et al.. (2019). A sound approach: Exploring a rapid and non-destructive ultrasonic pulse echo system for vegetable oils characterization. Food Research International. 125. 108552–108552. 18 indexed citations

Liu, Yingli, et al.. (2018). 938RHRK941 is responsible for Ubiquitin specific protease 48 nuclear translocation which can stabilize NF-κB (p65) in the nucleus. Gene. 669. 77–81. 6 indexed citations

Yan, Jing, et al.. (2017). Discrimination of processing grades of olive oil and other vegetable oils by monochloropropanediol esters and glycidyl esters. Food Chemistry. 248. 93–100. 28 indexed citations

10.

Su, Qin, Bo Jin, Haibo Luo, et al.. (2016). Population study and mutation analysis for 28 short tandem repeat loci in southwest Chinese Han population. Journal of Forensic and Legal Medicine. 44. 10–13. 6 indexed citations

11.

Jin, Bo, Qin Su, Haibo Luo, et al.. (2016). Mutational analysis of 33 autosomal short tandem repeat (STR) loci in southwest Chinese Han population based on trio parentage testing. Forensic Science International Genetics. 23. 86–90. 20 indexed citations

12.

Weı, Chunyan, et al.. (2016). Role of miR-199b-5p in regulating angiogenesis in mouse myocardial microvascular endothelial cells through HSF1/VEGF pathway. Environmental Toxicology and Pharmacology. 47. 142–148. 16 indexed citations

13.

Yan, Jing, et al.. (2015). Developing a DNA methylation assay for human age prediction in blood and bloodstain. Forensic Science International Genetics. 17. 129–136. 75 indexed citations

14.

Zha, Lagabaiyila, Libing Yun, Pengyu Chen, et al.. (2012). Exploring of tri‐allelic SNPs using Pyrosequencing and the SNaPshot methods for forensic application. Electrophoresis. 33(5). 841–848. 16 indexed citations

15.

Wang, Zheng, Ji Zhang, Haibo Luo, et al.. (2012). Screening and confirmation of microRNA markers for forensic body fluid identification. Forensic Science International Genetics. 7(1). 116–123. 108 indexed citations

16.

He, Xiaoying, Jie Lan, Yue‐Hong Wu, et al.. (2011). Recombinant adenovirus‐mediated human telomerase reverse transcriptase gene can stimulate cell proliferation and maintain primitive characteristics in bovine mammary gland epithelial cells. Development Growth & Differentiation. 53(3). 312–322. 7 indexed citations

17.

Wei, Wei, Haibo Luo, Jing Yan, & Yiping Hou. (2011). Exploring of new Y-chromosome SNP loci using Pyrosequencing and the SNaPshot methods. International Journal of Legal Medicine. 126(6). 825–833. 11 indexed citations

18.

Song, Xiaohong, Haijun Zhang, Libing Yun, et al.. (2008). [Analysis of Y-chromosomal biallelic polymorphisms in Sichuan Han of Chinese population].. PubMed. 25(3). 352–5.

19.

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

20.

Zhang, Haijun, et al.. (2006). Analysis of 15 STR loci in Chinese population from Sichuan in West China. Forensic Science International. 171(2-3). 222–225. 6 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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