Weiming He

13.4k total citations · 4 hit papers
54 papers, 2.9k citations indexed

About

Weiming He is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Weiming He has authored 54 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Plant Science and 14 papers in Genetics. Recurrent topics in Weiming He's work include Bioinformatics and Genomic Networks (25 papers), Computational Drug Discovery Methods (12 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Weiming He is often cited by papers focused on Bioinformatics and Genomic Networks (25 papers), Computational Drug Discovery Methods (12 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Weiming He collaborates with scholars based in China, Canada and Hong Kong. Weiming He's co-authors include Tie‐Lin Yang, Shan‐Shan Dong, Chi Zhang, Junyang Xu, Hon‐Ming Lam, Fuk‐Ling Wong, Yan Guo, Jingjing Ji, Chi Zhang and Xun Xu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Weiming He

54 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files

2018 1.1k citations Chi Zhang, Shan‐Shan Dong et al. Bioinformatics profile →
Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection

2010 769 citations Weiming He et al. profile →
LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files

2020 298 citations Shan‐Shan Dong, Weiming He et al. Briefings in Bioinformatics profile →
NGenomeSyn: an easy-to-use and flexible tool for publication-ready visualization of syntenic relationships across multiple genomes

2023 79 citations Weiming He, Jian Yang et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weiming He China	16	1.7k	1.2k	853	228	176	54	2.9k
Shannon Clarke New Zealand	19	796 0.5×	573 0.5×	537 0.6×	104 0.5×	84 0.5×	59	1.7k
I. Vroh Bi Belgium	10	3.1k 1.8×	2.6k 2.2×	797 0.9×	80 0.4×	122 0.7×	14	4.2k
M. Ron Israel	31	1.1k 0.6×	1.9k 1.6×	767 0.9×	249 1.1×	91 0.5×	91	2.9k
Yidan Ouyang China	30	2.9k 1.7×	1.5k 1.2×	1.7k 2.0×	183 0.8×	140 0.8×	79	3.6k
Brigitte Mangin France	29	2.3k 1.3×	1.6k 1.4×	503 0.6×	33 0.1×	113 0.6×	60	3.0k
Arthur Korte Germany	28	4.7k 2.7×	1.9k 1.6×	2.0k 2.4×	84 0.4×	354 2.0×	44	6.3k
Vincent Segura France	22	1.9k 1.1×	1.1k 0.9×	794 0.9×	34 0.1×	105 0.6×	54	2.7k
Dénis Laloë France	28	585 0.3×	2.0k 1.6×	1.1k 1.2×	482 2.1×	129 0.7×	97	3.5k
Gavin C. Conant United States	32	1.7k 1.0×	1.0k 0.9×	3.2k 3.8×	62 0.3×	384 2.2×	86	4.3k
Stefan Taudien Germany	31	1.2k 0.7×	489 0.4×	1.5k 1.7×	80 0.4×	127 0.7×	54	2.8k

Countries citing papers authored by Weiming He

Since Specialization

Citations

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

Fields of papers citing papers by Weiming He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming He

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming He. A scholar is included among the top collaborators of Weiming He 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 Weiming He. Weiming He 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

Xu, Lian, Weiming He, Shuaishuai Tai, et al.. (2025). VCF2Dis: an ultra-fast and efficient tool to calculate pairwise genetic distance and construct population phylogeny from VCF files. GigaScience. 14. 8 indexed citations

Wang, Xin, Ping Zhu, Xiaoxu Wang, et al.. (2025). Identification and validation of an explainable early-stage chronic kidney disease prediction model: a multicenter retrospective study. EClinicalMedicine. 84. 103286–103286. 1 indexed citations

He, Weiming, Zhen Yue, Yi Jing, et al.. (2024). VCF2PCACluster: a simple, fast and memory-efficient tool for principal component analysis of tens of millions of SNPs. BMC Bioinformatics. 25(1). 173–173. 9 indexed citations

Yu, Huiyang, Chunmei Shi, Weiming He, Feng Li, & Bo Ouyang. (2024). PanDepth, an ultrafast and efficient genomic tool for coverage calculation. Briefings in Bioinformatics. 25(3). 10 indexed citations

Tian, Shouwei, H. J. Yang, Xiaofei Zhang, et al.. (2023). McAPRR2: The Key Regulator of Domesticated Pericarp Color in Bitter Gourd. Plants. 12(20). 3585–3585. 6 indexed citations

Wan, Li, Chao Li, Lei Fu, et al.. (2023). Guiding Drug Repositioning for Cancers Based on Drug Similarity Networks. International Journal of Molecular Sciences. 24(3). 2244–2244. 5 indexed citations

Zhang, Bin, Zhiwei Wang, Xue Liu, et al.. (2022). The chromosome-scale assembly of endive (Cichorium endivia) genome provides insights into the sesquiterpenoid biosynthesis. Genomics. 114(4). 110400–110400. 11 indexed citations

Dong, Shan‐Shan, Weiming He, Jingjing Ji, et al.. (2020). LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files. Briefings in Bioinformatics. 22(4). 298 indexed citations breakdown →

Hou, Lianjie, Weiming He, Chugang Mei, et al.. (2020). Whole genome sequence analysis reveals genetic structure and X-chromosome haplotype structure in indigenous Chinese pigs. Scientific Reports. 10(1). 9433–9433. 12 indexed citations

10.

Zhang, Chi, Shan‐Shan Dong, Junyang Xu, Weiming He, & Tie‐Lin Yang. (2018). PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files. Bioinformatics. 35(10). 1786–1788. 1079 indexed citations breakdown →

11.

Wan, Li, Xue Bai, Erqiang Hu, et al.. (2017). Identification of breast cancer prognostic modules based on weighted protein-protein interaction networks. Oncology Letters. 13(5). 3935–3941. 4 indexed citations

12.

Li, Yiran, Li Wan, Binhua Liang, et al.. (2016). Identification of cancer risk lncRNAs and cancer risk pathways regulated by cancer risk lncRNAs based on genome sequencing data in human cancers. Scientific Reports. 6(1). 39294–39294. 18 indexed citations

13.

Wu, Wei, Yulan Yang, Weiming He, et al.. (2016). Whole genome sequencing of a banana wild relative Musa itinerans provides insights into lineage-specific diversification of the Musa genus. Scientific Reports. 6(1). 31586–31586. 52 indexed citations

14.

Huang, Hao, Li Wan, Binbin Chen, et al.. (2014). Identifying progression related disease risk modules based on the human subcellular signaling networks. Molecular BioSystems. 10(12). 3298–3309. 3 indexed citations

15.

Feng, Chenchen, Lina Chen, Meijun Chen, et al.. (2014). Analysis of Different Activation Statuses of Human Mammary Epithelial Cells from Young and Old Groups. Asian Pacific Journal of Cancer Prevention. 15(8). 3763–3766. 1 indexed citations

16.

Wan, Li, Lina Chen, Xia Li, et al.. (2013). Cancer-related marketing centrality motifs acting as pivot units in the human signaling network and mediating cross-talk between biological pathways. Molecular BioSystems. 9(12). 3026–3035. 11 indexed citations

17.

Xu, Li, Lina Chen, Liangcai Zhang, et al.. (2012). RCM: A novel association approach to search for coronary artery disease genetic related metabolites based on SNPs and metabolic network. Genomics. 100(5). 282–288. 1 indexed citations

18.

Chen, Lina, Liangcai Zhang, Hong Wang, et al.. (2011). A novel paradigm for potential drug-targets discovery: quantifying relationships of enzymes and cascade interactions of neighboring biological processes to identify drug-targets. Molecular BioSystems. 7(4). 1033–1041. 7 indexed citations

19.

Chen, Lina, Liangcai Zhang, Xu Li, et al.. (2011). Global risk transformative prioritization for prostate cancer candidate genes in molecular networks. Molecular BioSystems. 7(9). 2547–2553. 4 indexed citations

20.

Chen, Lina, Hong Wang, Liangcai Zhang, et al.. (2010). Uncovering packaging features of co-regulated modules based on human protein interaction and transcriptional regulatory networks. BMC Bioinformatics. 11(1). 392–392. 8 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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