Meng Huang

2.7k total citations · 2 hit papers
19 papers, 1.7k citations indexed

About

Meng Huang is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Meng Huang has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 7 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Meng Huang's work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic Associations and Epidemiology (5 papers) and Forensic and Genetic Research (4 papers). Meng Huang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic Associations and Epidemiology (5 papers) and Forensic and Genetic Research (4 papers). Meng Huang collaborates with scholars based in United States, China and Czechia. Meng Huang's co-authors include Zhiwu Zhang, Xiaolei Liu, Edward S. Buckler, Bin Fan, Yao Zhou, Ryan M. Summers, Jayfred Godoy, Arron H. Carter, Kim Campbell and Camille M. Steber and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and PLoS Genetics.

In The Last Decade

Meng Huang

18 papers receiving 1.7k 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.

Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies

2016 1.0k citations Xiaolei Liu, Meng Huang et al. PLoS Genetics profile →
BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions

2018 478 citations Meng Huang, Xiaolei Liu et al. GigaScience profile →

Peers

Meng Huang

PS

GENET

MB

ACS

CB

Jiabo Wang China

Sonja Kollers Germany

Han Zhao China

Wen Yao China

Ümit Seren Austria

Qingzhang Du China

Lingli Dong China

Gaofeng Jia China

Chouxian Ma China

Hanwei Mei China

Jiabo Wang China

Meng Huang

872 ×0.6

PS

591 ×0.7

GENET

251 ×1.1

MB

103 ×0.5

ACS

51 ×0.8

CB

Citations per year, relative to Meng Huang Meng Huang (= 1×) peers Jiabo Wang

Countries citing papers authored by Meng Huang

Since Specialization

Citations

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

Fields of papers citing papers by Meng Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Huang. A scholar is included among the top collaborators of Meng Huang 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 Meng Huang. Meng Huang 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:

19 of 19 papers shown

1.

Woerner, August E., et al.. (2025). Bioinformatic processing of whole genome sequencing data with Tapir. Forensic Science International Genetics. 81. 103387–103387.

2.

Ge, Jianye, et al.. (2023). MPKin‐YSTR: Interpretation of Y chromosome STR haplotypes for missing persons cases. Electrophoresis. 44(13-14). 1080–1087. 3 indexed citations

3.

Huang, Meng, Leah K. McHale, Dechun Wang, et al.. (2023). Canopy coverage phenotyping and field spatial variability adjustment as an efficient selection tool in soybean breeding. Crop Science. 63(6). 3277–3291. 3 indexed citations

4.

Wang, Xuewen, Meng Huang, Bruce Budowle, & Jianye Ge. (2023). TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads. Frontiers in Genetics. 14. 1227176–1227176. 8 indexed citations

5.

Xu, Ting, Meng Huang, Chengming Zhu, et al.. (2023). A ZTF-7/RPS-2 complex mediates the cold-warm response in C. elegans. PLoS Genetics. 19(2). e1010628–e1010628. 6 indexed citations

6.

Nagraj, VP, Matthew Scholz, Jianye Ge, et al.. (2022). Relationship Inference with Low-Coverage Whole Genome Sequencing on Forensic Samples. Zenodo (CERN European Organization for Nuclear Research). 2(3). 81–91. 3 indexed citations

7.

Woerner, August E., Jonathan L. King, Xuewen Wang, et al.. (2022). Optimized variant calling for estimating kinship. Forensic Science International Genetics. 61. 102785–102785. 3 indexed citations

8.

Huang, Meng, et al.. (2022). A machine learning approach for missing persons cases with high genotyping errors. Frontiers in Genetics. 13. 971242–971242. 2 indexed citations

9.

Huang, Meng, et al.. (2022). H3K9me1/2 methylation limits the lifespan of daf-2 mutants in C. elegans. eLife. 11. 14 indexed citations

10.

Jiang, Liping, Zhuo Li, Jessica J. Hayward, et al.. (2021). Genomic Prediction of Two Complex Orthopedic Traits Across Multiple Pure and Mixed Breed Dogs. Frontiers in Genetics. 12. 666740–666740. 5 indexed citations

11.

Huang, Meng, Xiaolei Liu, Yao Zhou, Ryan M. Summers, & Zhiwu Zhang. (2018). BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions. GigaScience. 8(2). 478 indexed citations breakdown →

12.

Wu, Ying, Yue Sun, Shuai Sun, et al.. (2018). Aneuploidization under segmental allotetraploidy in rice and its phenotypic manifestation. Theoretical and Applied Genetics. 131(6). 1273–1285. 21 indexed citations

13.

Godoy, Jayfred, Meng Huang, Zhiwu Zhang, et al.. (2018). Genome-Wide Association Mapping for Tolerance to Preharvest Sprouting and Low Falling Numbers in Wheat. Frontiers in Plant Science. 9. 141–141. 63 indexed citations

14.

Godoy, Jayfred, Meng Huang, Yao Zhou, et al.. (2018). Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat. Frontiers in Plant Science. 9. 271–271. 40 indexed citations

15.

Huang, Meng, et al.. (2018). Genetic Diversity of Clinal Freezing Tolerance Variation in Winter Wheat Landraces. Agronomy. 8(6). 95–95. 4 indexed citations

16.

Huang, Meng, Jessica J. Hayward, Elizabeth Corey, et al.. (2017). A novel iterative mixed model to remap three complex orthopedic traits in dogs. PLoS ONE. 12(6). e0176932–e0176932. 16 indexed citations

17.

Liu, Xiaolei, Meng Huang, Bin Fan, Edward S. Buckler, & Zhiwu Zhang. (2016). Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies. PLoS Genetics. 12(2). e1005767–e1005767. 1045 indexed citations breakdown →

18.

Zhang, Fang, Ming Cao, Yaoyu Zhang, et al.. (2009). The role of EGFR MAbs C225 in breast cancer stem cells. Journal of Clinical Oncology. 27(15_suppl). e22093–e22093. 5 indexed citations

19.

Huang, Meng, et al.. (2009). The comparison of epirubicin-treated MCF-7 mammosphere cells to the treated monolayer cells. Journal of Clinical Oncology. 27(15_suppl). e13542–e13542. 1 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.

Explore authors with similar magnitude of impact