Haiyi Lou

1.5k total citations
22 papers, 565 citations indexed

About

Haiyi Lou is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Haiyi Lou has authored 22 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 8 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Haiyi Lou's work include Genomics and Rare Diseases (5 papers), Genetic Associations and Epidemiology (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Haiyi Lou is often cited by papers focused on Genomics and Rare Diseases (5 papers), Genetic Associations and Epidemiology (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Haiyi Lou collaborates with scholars based in China, United States and South Korea. Haiyi Lou's co-authors include Shuhua Xu, Jin Li, Dongsheng Lu, Yajun Yang, Shilin Li, Yan Lü, Longli Kang, Wenfei Jin, Yaqun Guan and Qidi Feng and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Haiyi Lou

22 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiyi Lou China 14 384 217 74 62 35 22 565
Dongsheng Lu China 19 497 1.3× 287 1.3× 88 1.2× 90 1.5× 22 0.6× 37 764
Alexey G. Nikitin United States 15 200 0.5× 176 0.8× 118 1.6× 51 0.8× 28 0.8× 53 533
Yaqun Guan China 11 239 0.6× 191 0.9× 65 0.9× 90 1.5× 8 0.2× 28 452
Sameer Soi United States 6 324 0.8× 100 0.5× 45 0.6× 52 0.8× 8 0.2× 7 451
Davide Marnetto Italy 11 301 0.8× 157 0.7× 47 0.6× 23 0.4× 36 1.0× 21 481
Qidi Feng China 10 251 0.7× 97 0.4× 70 0.9× 49 0.8× 8 0.2× 13 418
James Boocock United States 18 364 0.9× 375 1.7× 39 0.5× 29 0.5× 67 1.9× 34 766
Kuang Lin China 12 184 0.5× 179 0.8× 40 0.5× 24 0.4× 13 0.4× 20 600
Gonggalanzi China 6 313 0.8× 81 0.4× 62 0.8× 57 0.9× 4 0.1× 10 393
Lotfi Cherni Tunisia 16 479 1.2× 165 0.8× 230 3.1× 15 0.2× 25 0.7× 41 675

Countries citing papers authored by Haiyi Lou

Since Specialization
Citations

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

Fields of papers citing papers by Haiyi Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyi Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyi Lou. A scholar is included among the top collaborators of Haiyi Lou 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 Haiyi Lou. Haiyi Lou 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.
Lou, Haiyi, Yang Gao, Bo Xie, et al.. (2022). Haplotype-resolved de novo assembly of a Tujia genome suggests the necessity for high-quality population-specific genome references. Cell Systems. 13(4). 321–333.e6. 8 indexed citations
2.
Lou, Haiyi, et al.. (2022). Structural Evolution of Trypsinogen Gene Redundancy Confers Risk for Pancreas Diseases. SSRN Electronic Journal. 1 indexed citations
3.
Yuan, Kai, Xumin Ni, Chang Liu, et al.. (2021). Refining models of archaic admixture in Eurasia with ArchaicSeeker 2.0. Nature Communications. 12(1). 6232–6232. 26 indexed citations
4.
He, Yaoxi, Haiyi Lou, Chaoying Cui, et al.. (2019). De novo assembly of a Tibetan genome and identification of novel structural variants associated with high-altitude adaptation. National Science Review. 7(2). 391–402. 31 indexed citations
5.
Qiao, Lu, Yajun Yang, Pengcheng Fu, et al.. (2018). Genome-wide variants of Eurasian facial shape differentiation and a prospective model of DNA based face prediction. Journal of genetics and genomics. 45(8). 419–432. 31 indexed citations
6.
Li, Jing, Yajun Yang, Hans‐Peter Horz, et al.. (2017). A metagenomic approach to dissect the genetic composition of enterotypes in Han Chinese and two Muslim groups. Systematic and Applied Microbiology. 41(1). 1–12. 24 indexed citations
7.
Zhang, Chao, Yan Lü, Qidi Feng, et al.. (2017). Differentiated demographic histories and local adaptations between Sherpas and Tibetans. Genome biology. 18(1). 115–115. 49 indexed citations
8.
Lou, Haiyi, Dongsheng Lu, Feng Zhang, et al.. (2017). Assessing genome-wide copy number variation in the Han Chinese population. Journal of Medical Genetics. 54(10). 685–692. 7 indexed citations
9.
Zhang, Chao, Jiaojiao Liu, Furhan Iqbal, et al.. (2017). A missense point mutation in COL10A1 identified with whole-genome deep sequencing in a 7-generation Pakistan dwarf family. Heredity. 120(1). 83–89. 8 indexed citations
10.
Lu, Dongsheng, Haiyi Lou, Kai Yuan, et al.. (2016). Ancestral Origins and Genetic History of Tibetan Highlanders. The American Journal of Human Genetics. 99(3). 580–594. 149 indexed citations
11.
Wu, Sijie, Jingze Tan, Yajun Yang, et al.. (2016). Genome-wide scans reveal variants at EDAR predominantly affecting hair straightness in Han Chinese and Uyghur populations. Human Genetics. 135(11). 1279–1286. 21 indexed citations
12.
Lou, Haiyi, Yan Lü, Dongsheng Lu, et al.. (2015). A 3.4-kb Copy-Number Deletion near EPAS1 Is Significantly Enriched in High-Altitude Tibetans but Absent from the Denisovan Sequence. The American Journal of Human Genetics. 97(1). 54–66. 41 indexed citations
13.
Qin, Pengfei, Ying Zhou, Haiyi Lou, et al.. (2015). Quantitating and Dating Recent Gene Flow between European and East Asian Populations. Scientific Reports. 5(1). 9500–9500. 16 indexed citations
14.
Zhou, Ying, Haiyi Lou, Dongsheng Lu, et al.. (2015). Quantitating and Dating Recent Gene Flow between European and East Asian. 1 indexed citations
15.
Lou, Haiyi, Shilin Li, Wenfei Jin, et al.. (2014). Copy number variations and genetic admixtures in three Xinjiang ethnic minority groups. European Journal of Human Genetics. 23(4). 536–542. 19 indexed citations
16.
Li, Jing, Haiyi Lou, Xiong Yang, et al.. (2014). Genetic architectures of ADME genes in five Eurasian admixed populations and implications for drug safety and efficacy. Journal of Medical Genetics. 51(9). 614–622. 19 indexed citations
17.
Qin, Pengfei, Zhiqiang Li, Wenfei Jin, et al.. (2013). A panel of ancestry informative markers to estimate and correct potential effects of population stratification in Han Chinese. European Journal of Human Genetics. 22(2). 248–253. 29 indexed citations
18.
Yuan, Yuan, Ling Yang, Meng Shi, et al.. (2013). Identification of well-differentiated gene expressions between Han Chinese and Japanese using genome-wide microarray data analysis. Journal of Medical Genetics. 50(8). 534–542. 4 indexed citations
19.
Jin, Wenfei, Pengfei Qin, Haiyi Lou, Jin Li, & Shuhua Xu. (2011). A systematic characterization of genes underlying both complex and Mendelian diseases. Human Molecular Genetics. 21(7). 1611–1624. 26 indexed citations
20.
Lou, Haiyi, Shilin Li, Yajun Yang, et al.. (2011). A Map of Copy Number Variations in Chinese Populations. PLoS ONE. 6(11). e27341–e27341. 42 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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