Lan‐Hai Wei

3.8k total citations
57 papers, 938 citations indexed

About

Lan‐Hai Wei is a scholar working on Genetics, Archeology and Molecular Biology. According to data from OpenAlex, Lan‐Hai Wei has authored 57 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Genetics, 25 papers in Archeology and 13 papers in Molecular Biology. Recurrent topics in Lan‐Hai Wei's work include Forensic and Genetic Research (52 papers), Genetic diversity and population structure (33 papers) and Forensic Anthropology and Bioarchaeology Studies (25 papers). Lan‐Hai Wei is often cited by papers focused on Forensic and Genetic Research (52 papers), Genetic diversity and population structure (33 papers) and Forensic Anthropology and Bioarchaeology Studies (25 papers). Lan‐Hai Wei collaborates with scholars based in China, Singapore and United States. Lan‐Hai Wei's co-authors include Chuan‐Chao Wang, Jin Li, Hui Li, Shi Yan, Shilin Li, Yan Lü, Shaoqing Wen, Shuhua Xu, Ling-Xiang Wang and Yun‐Zhi Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and BMC Genomics.

In The Last Decade

Lan‐Hai Wei

54 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan‐Hai Wei China 17 653 271 239 196 190 57 938
Christine Harmant France 13 392 0.6× 179 0.7× 103 0.4× 39 0.2× 20 0.1× 18 676
Tatyana Hegay Uzbekistan 17 415 0.6× 94 0.3× 81 0.3× 12 0.1× 88 0.5× 23 705
Connie J. Kolman United States 11 607 0.9× 278 1.0× 276 1.2× 28 0.1× 45 0.2× 12 862
Simona Fornarino Italy 10 543 0.8× 180 0.7× 243 1.0× 40 0.2× 47 0.2× 11 843
Ana Goios Portugal 12 366 0.6× 205 0.8× 128 0.5× 92 0.5× 20 0.1× 31 649
Katrin Kaldma Estonia 7 638 1.0× 190 0.7× 286 1.2× 17 0.1× 19 0.1× 11 806
Ville N. Pimenoff Finland 16 178 0.3× 144 0.5× 56 0.2× 45 0.2× 297 1.6× 39 618
Niraj Rai India 10 179 0.3× 80 0.3× 55 0.2× 76 0.4× 19 0.1× 48 446
Milena Alù Italy 14 302 0.5× 259 1.0× 36 0.2× 51 0.3× 82 0.4× 33 619
Chiara Batini United Kingdom 14 336 0.5× 93 0.3× 89 0.4× 12 0.1× 45 0.2× 32 528

Countries citing papers authored by Lan‐Hai Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lan‐Hai Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan‐Hai Wei. 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 Lan‐Hai Wei. The network helps show where Lan‐Hai Wei may publish in the future.

Co-authorship network of co-authors of Lan‐Hai Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Lan‐Hai Wei. A scholar is included among the top collaborators of Lan‐Hai Wei 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 Lan‐Hai Wei. Lan‐Hai Wei 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.
Wang, Mengge, Lan‐Hai Wei, Kaijun Liu, et al.. (2024). Paleolithic divergence and multiple Neolithic expansions of ancestral nomadic emperor-related paternal lineages. Journal of genetics and genomics. 52(4). 502–512. 8 indexed citations
2.
3.
He, Guanglin, Peixin Wang, Jing Chen, et al.. (2024). Differentiated genomic footprints suggest isolation and long-distance migration of Hmong-Mien populations. BMC Biology. 22(1). 18–18. 12 indexed citations
4.
5.
Wang, Xiaopeng, et al.. (2023). The impacts of bronze age in the gene pool of Chinese: Insights from phylogeographics of Y-chromosomal haplogroup N1a2a-F1101. Frontiers in Genetics. 14. 1139722–1139722. 3 indexed citations
6.
Zhabagin, Maxat, Lan‐Hai Wei, Zhaxylyk Sabitov, et al.. (2022). Ancient Components and Recent Expansion in the Eurasian Heartland: Insights into the Revised Phylogeny of Y-Chromosomes from Central Asia. Genes. 13(10). 1776–1776. 4 indexed citations
7.
Zhabagin, Maxat, Zhaxylyk Sabitov, Anastasiya Agdzhoyan, et al.. (2021). Medieval Super-Grandfather founder of Western Kazakh Clans from Haplogroup C2a1a2-M48. Journal of Human Genetics. 66(7). 707–716. 10 indexed citations
8.
Wang, Mengge, Weian Du, Renkuan Tang, et al.. (2021). Genomic history and forensic characteristics of Sherpa highlanders on the Tibetan Plateau inferred from high-resolution InDel panel and genome-wide SNPs. Forensic Science International Genetics. 56. 102633–102633. 8 indexed citations
9.
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
10.
He, Guanglin, Zheng Wang, Jianxin Guo, et al.. (2020). Inferring the population history of Tai-Kadai-speaking people and southernmost Han Chinese on Hainan Island by genome-wide array genotyping. European Journal of Human Genetics. 28(8). 1111–1123. 37 indexed citations
11.
Luo, Xiaoqin, Ling-Xiang Wang, Boyan Zhou, et al.. (2019). Uniparental Genetic Analyses Reveal the Major Origin of Fujian Tanka from Ancient Indigenous Daic Populations. Human Biology. 91(4). 257–257. 4 indexed citations
12.
Wei, Lan‐Hai, et al.. (2019). Relating Clans Ao and Aisin Gioro from northeast China by whole Y-chromosome sequencing. Journal of Human Genetics. 64(8). 775–780. 6 indexed citations
13.
Huang, Xiu‐Feng, Qing-Hui Zhou, Xiaoyun Bin, et al.. (2018). The genetic assimilation in language borrowing inferred from Jing People. American Journal of Physical Anthropology. 166(3). 638–648. 13 indexed citations
14.
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
15.
Chen, Wenqing, Zhen Feng, Yijun Zhang, et al.. (2018). Genetic analysis of 17 Y-STR loci from 1026 individuals of Han populations in Jilin Province, Northeast China. International Journal of Legal Medicine. 132(5). 1309–1311. 4 indexed citations
16.
Wei, Lan‐Hai, Ling-Xiang Wang, Shaoqing Wen, et al.. (2018). Paternal origin of Paleo-Indians in Siberia: insights from Y-chromosome sequences. European Journal of Human Genetics. 26(11). 1687–1696. 21 indexed citations
17.
Huang, Yun‐Zhi, Horolma Pamjav, Pavel Flegontov, et al.. (2017). Dispersals of the Siberian Y-chromosome haplogroup Q in Eurasia. Molecular Genetics and Genomics. 293(1). 107–117. 22 indexed citations
18.
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
19.
Li, Liming, Xiaoyang Liu, Wenqing Chen, et al.. (2016). Genetic analysis of 17 Y-STR loci in Han and Korean populations from Jilin Province, Northeast China. Forensic Science International Genetics. 22. 8–10. 15 indexed citations
20.
Yan, Shi, et al.. (2015). Y chromosome of Aisin Gioro, the imperial house of the Qing dynasty. Journal of Human Genetics. 60(6). 295–298. 10 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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