Shi Yan

3.5k total citations
71 papers, 1.5k citations indexed

About

Shi Yan is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Shi Yan has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 31 papers in Molecular Biology and 9 papers in Archeology. Recurrent topics in Shi Yan's work include Forensic and Genetic Research (31 papers), Genetic diversity and population structure (28 papers) and Forensic Anthropology and Bioarchaeology Studies (9 papers). Shi Yan is often cited by papers focused on Forensic and Genetic Research (31 papers), Genetic diversity and population structure (28 papers) and Forensic Anthropology and Bioarchaeology Studies (9 papers). Shi Yan collaborates with scholars based in China, United States and France. Shi Yan's co-authors include Jin Li, Zhendong Qin, Hongxiang Zheng, Chuan‐Chao Wang, Menghan Zhang, Hui Li, Shilin Li, Bernhard M. Fuchs, Lan‐Hai Wei and Yan Lü and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Shi Yan

69 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Yan China 23 750 600 293 282 102 71 1.5k
Martin Carr United Kingdom 15 184 0.2× 534 0.9× 133 0.5× 235 0.8× 190 1.9× 44 1.0k
Massimo Mezzavilla Italy 21 621 0.8× 746 1.2× 117 0.4× 134 0.5× 52 0.5× 55 1.8k
David Witonsky United States 22 1.6k 2.2× 627 1.0× 111 0.4× 175 0.6× 62 0.6× 37 2.5k
Antonel Olckers South Africa 15 913 1.2× 781 1.3× 222 0.8× 122 0.4× 64 0.6× 28 1.8k
Timothy D. O’Connor United States 19 668 0.9× 593 1.0× 72 0.2× 95 0.3× 77 0.8× 59 1.6k
Paweł Golik Poland 25 530 0.7× 1.9k 3.2× 99 0.3× 155 0.5× 44 0.4× 54 2.5k
Matteo Accetturo Italy 11 263 0.4× 287 0.5× 86 0.3× 59 0.2× 80 0.8× 18 892
Xianyun Mao United States 12 1.1k 1.4× 445 0.7× 127 0.4× 81 0.3× 57 0.6× 22 1.7k
Søren Nørby Denmark 13 701 0.9× 638 1.1× 149 0.5× 59 0.2× 54 0.5× 31 1.2k
М. В. Деренко Russia 29 2.2k 2.9× 594 1.0× 787 2.7× 191 0.7× 187 1.8× 121 2.6k

Countries citing papers authored by Shi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Yan. A scholar is included among the top collaborators of Shi 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 Shi Yan. Shi Yan 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.
He, Jianing, Chunmei Li, Chao Ning, et al.. (2025). Ancient DNA reveals the population interactions and a Neolithic patrilineal community in Northern Yangtze Region. Nature Communications. 16(1). 8728–8728. 1 indexed citations
2.
Yan, Shi, et al.. (2024). Mitochondrial DNA Genomes Reveal Relaxed Purifying Selection During Human Population Expansion after the Last Glacial Maximum. Molecular Biology and Evolution. 41(9). 1 indexed citations
3.
Zhang, Xiaoxi, Shi Yan, Zhiyi Wang, et al.. (2024). Large-scale lexical and genetic alignment supports a hybrid model of Han Chinese demic and cultural diffusions. Nature Human Behaviour. 8(6). 1163–1176. 5 indexed citations
4.
Ren, He, Zhiyong Liu, Chong Chen, et al.. (2024). Case reports on uniparental disomy of chromosomes 6 and 3 in paternity testing. Forensic Sciences Research. 9(2). owae027–owae027.
5.
Zhang, Lin, Shi Yan, Wenfang Gong, et al.. (2024). The tetraploid Camellia oleifera genome provides insights into evolution, agronomic traits, and genetic architecture of oil Camellia plants. Cell Reports. 43(11). 114902–114902. 9 indexed citations
6.
Yan, Shi, et al.. (2023). Research on the construction of a human-water harmony model in the Yellow River Basin. Water Policy. 25(7). 742–757. 3 indexed citations
7.
Ma, Xin, et al.. (2020). The Interaction of Age and Anatomical Region Influenced Skin Biophysical Characteristics of Chinese Women. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Cheng, Hui‐Zhen, Na Sun, Hongbing Yao, et al.. (2020). Phylogenetic analysis of the Y-chromosome haplogroup C2b-F1067, a dominant paternal lineage in Eastern Eurasia. Journal of Human Genetics. 65(10). 823–829. 11 indexed citations
9.
Liu, Lingling, Weiqi Liu, Shi Yan, et al.. (2020). DVL mutations identified from human neural tube defects and Dandy-Walker malformation obstruct the Wnt signaling pathway. Journal of genetics and genomics. 47(6). 301–310. 8 indexed citations
10.
Chen, Runhua, et al.. (2019). Preliminary Bioleaching of Heavy Metals from Contaminated Soil Applying Aspergillus niger F2. 2(4). 72. 4 indexed citations
11.
Wang, Ling-Xiang, Yan Lü, Chao Zhang, et al.. (2018). Reconstruction of Y-chromosome phylogeny reveals two neolithic expansions of Tibeto-Burman populations. Molecular Genetics and Genomics. 293(5). 1293–1300. 41 indexed citations
12.
Zheng, Hongxiang, Lei Li, Xiaoyan Jiang, et al.. (2017). MtDNA genomes reveal a relaxation of selective constraints in low-BMI individuals in a Uyghur population. Human Genetics. 136(10). 1353–1362. 10 indexed citations
13.
Wei, Lan‐Hai, Shi Yan, Ge Yu, et al.. (2016). Genetic trail for the early migrations of Aisin Gioro, the imperial house of the Qing dynasty. Journal of Human Genetics. 62(3). 407–411. 12 indexed citations
14.
Kang, Longli, Hongxiang Zheng, Menghan Zhang, et al.. (2016). MtDNA analysis reveals enriched pathogenic mutations in Tibetan highlanders. Scientific Reports. 6(1). 31083–31083. 22 indexed citations
15.
Kang, Longli, Hongxiang Zheng, Feng Chen, et al.. (2013). mtDNA Lineage Expansions in Sherpa Population Suggest Adaptive Evolution in Tibetan Highlands. Molecular Biology and Evolution. 30(12). 2579–2587. 46 indexed citations
16.
Yan, Shi, Yi Ding, Yunping Lei, et al.. (2012). Identification of novel rare mutations of DACT1 in human neural tube defects. Human Mutation. 33(10). 1450–1455. 34 indexed citations
17.
Zheng, Hongxiang, Shi Yan, Zhendong Qin, et al.. (2011). Major Population Expansion of East Asians Began before Neolithic Time: Evidence of mtDNA Genomes. PLoS ONE. 6(10). e25835–e25835. 60 indexed citations
18.
Yan, Shi, et al.. (2009). Insufficient Activity of MAPK Pathway Is a Key Monitor of Kidney-Yang Deficiency Syndrome. The Journal of Alternative and Complementary Medicine. 15(6). 653–660. 10 indexed citations
19.
Yan, Shi, Bernhard M. Fuchs, Sabine Lenk, et al.. (2009). Biogeography and phylogeny of the NOR5/OM60 clade of Gammaproteobacteria. Systematic and Applied Microbiology. 32(2). 124–139. 67 indexed citations
20.
Yan, Shi, et al.. (1992). Mitochondrial DNA content and mitochondrial gene transcriptional activities in the early development of loach and goldfish. The International Journal of Developmental Biology. 36(4). 477–482. 12 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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