Kangcheng Hou

1.9k total citations · 1 hit paper
19 papers, 536 citations indexed

About

Kangcheng Hou is a scholar working on Genetics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kangcheng Hou has authored 19 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 8 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kangcheng Hou's work include Genetic Associations and Epidemiology (12 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic and phenotypic traits in livestock (7 papers). Kangcheng Hou is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic and phenotypic traits in livestock (7 papers). Kangcheng Hou collaborates with scholars based in United States, China and Netherlands. Kangcheng Hou's co-authors include Bogdan Paşaniuc, Kathryn S. Burch, Sriram Sankararaman, Yi Ding, Bjarni J. Vilhjálmsson, Florian Privé, Yue Wu, Ziqi Xu, Kristin Boulier and Loes M. Olde Loohuis and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Kangcheng Hou

19 papers receiving 530 citations

Hit Papers

Polygenic scoring accuracy varies across the genetic ance... 2023 2026 2024 2025 2023 25 50 75
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.

  1. Polygenic scoring accuracy varies across the genetic ancestry continuum
    2023 90 citations Yi Ding, Kangcheng Hou et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kangcheng Hou United States 13 288 214 41 38 31 19 536
Brunilda Balliu United States 12 158 0.5× 225 1.1× 26 0.6× 58 1.5× 23 0.7× 27 479
Nadia M. Penrod United States 9 203 0.7× 323 1.5× 65 1.6× 51 1.3× 9 0.3× 15 597
Ruth Johnson United States 10 312 1.1× 250 1.2× 41 1.0× 30 0.8× 30 1.0× 14 515
Patrick K. Kimes United States 7 82 0.3× 207 1.0× 60 1.5× 52 1.4× 11 0.4× 10 507
Sunit Maity India 6 206 0.7× 681 3.2× 32 0.8× 59 1.6× 12 0.4× 10 817
Anastasia Lucas United States 11 202 0.7× 188 0.9× 23 0.6× 34 0.9× 37 1.2× 24 417
Nate Barney United States 4 289 1.0× 341 1.6× 37 0.9× 34 0.9× 7 0.2× 5 594
Milton Pividori United States 11 284 1.0× 306 1.4× 89 2.2× 52 1.4× 12 0.4× 22 644
Elior Rahmani United States 12 173 0.6× 566 2.6× 90 2.2× 135 3.6× 28 0.9× 22 848
Joshua C. Gilbert United States 4 247 0.9× 312 1.5× 35 0.9× 31 0.8× 8 0.3× 4 535

Countries citing papers authored by Kangcheng Hou

Since Specialization
Citations

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

Fields of papers citing papers by Kangcheng Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangcheng Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Kangcheng Hou. A scholar is included among the top collaborators of Kangcheng Hou 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 Kangcheng Hou. Kangcheng Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Ding, Yi, Kangcheng Hou, Vidhya Venkateswaran, et al.. (2025). Exploring depression treatment response by using polygenic risk scoring across diverse populations. The American Journal of Human Genetics. 112(8). 1877–1891. 1 indexed citations
2.
Hou, Kangcheng, Marco P. Boks, René S. Kahn, et al.. (2024). Cell-type deconvolution of bulk-blood RNA-seq reveals biological insights into neuropsychiatric disorders. The American Journal of Human Genetics. 111(2). 323–337. 2 indexed citations
3.
Hou, Kangcheng, Ziqi Xu, Yi Ding, et al.. (2024). Calibrated prediction intervals for polygenic scores across diverse contexts. Nature Genetics. 56(7). 1386–1396. 13 indexed citations
4.
Patowary, Ashok, Pan Zhang, Connor Jops, et al.. (2024). Developmental isoform diversity in the human neocortex informs neuropsychiatric risk mechanisms. Science. 384(6698). eadh7688–eadh7688. 30 indexed citations
5.
Petter, Ella, Yi Ding, Kangcheng Hou, et al.. (2023). Genotype error due to low-coverage sequencing induces uncertainty in polygenic scoring. The American Journal of Human Genetics. 110(8). 1319–1329. 4 indexed citations
6.
Hou, Kangcheng, Yi Ding, Kathryn S. Burch, et al.. (2023). Impact of cross-ancestry genetic architecture on GWASs in admixed populations. The American Journal of Human Genetics. 110(6). 927–939. 12 indexed citations
7.
Ding, Yi, Kangcheng Hou, Ziqi Xu, et al.. (2023). Polygenic scoring accuracy varies across the genetic ancestry continuum. Nature. 618(7966). 774–781. 90 indexed citations breakdown →
8.
Burch, Kathryn S., Kangcheng Hou, Yi Ding, et al.. (2022). Partitioning gene-level contributions to complex-trait heritability by allele frequency identifies disease-relevant genes. The American Journal of Human Genetics. 109(4). 692–709. 6 indexed citations
9.
Zhang, Martin Jinye, Kangcheng Hou, Kushal K. Dey, et al.. (2022). Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data. Nature Genetics. 54(10). 1572–1580. 92 indexed citations
10.
Li, Xihao, Hufeng Zhou, Ryan Sun, et al.. (2022). A multi-dimensional integrative scoring framework for predicting functional variants in the human genome. The American Journal of Human Genetics. 109(3). 446–456. 13 indexed citations
11.
Hou, Kangcheng, Loes M. Olde Loohuis, Marco P. Boks, et al.. (2022). Powerful eQTL mapping through low-coverage RNA sequencing. Human Genetics and Genomics Advances. 3(3). 100103–100103. 4 indexed citations
12.
Ding, Yi, Kangcheng Hou, Kathryn S. Burch, et al.. (2021). Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification. Nature Genetics. 54(1). 30–39. 56 indexed citations
13.
Johnson, Ruth, et al.. (2021). Estimation of regional polygenicity from GWAS provides insights into the genetic architecture of complex traits. PLoS Computational Biology. 17(10). e1009483–e1009483. 7 indexed citations
14.
Pathak, Gita A., Kritika Singh, Tyne W. Miller‐Fleming, et al.. (2021). Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization. Nature Communications. 12(1). 4569–4569. 42 indexed citations
15.
Mandric, Igor, Arunabha Majumdar, Kangcheng Hou, et al.. (2020). Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis. Nature Communications. 11(1). 5504–5504. 36 indexed citations
16.
Wu, Yue, et al.. (2020). Efficient variance components analysis across millions of genomes. Nature Communications. 11(1). 4020–4020. 28 indexed citations
17.
Hou, Kangcheng, Kathryn S. Burch, Arunabha Majumdar, et al.. (2019). Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture. Nature Genetics. 51(8). 1244–1251. 59 indexed citations
18.
Du, Simon S., Kangcheng Hou, Russ R. Salakhutdinov, et al.. (2019). Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels. arXiv (Cornell University). 32. 5723–5733. 16 indexed citations
19.
Han, Xiaoguang, Kangcheng Hou, Dong Du, et al.. (2018). CaricatureShop: Personalized and Photorealistic Caricature Sketching. IEEE Transactions on Visualization and Computer Graphics. 26(7). 2349–2361. 25 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

Breakdown of academic impact, for papers by Brunilda Balliu Breakdown of academic impact, for papers by Nadia M. Penrod Breakdown of academic impact, for papers by Ruth Johnson Breakdown of academic impact, for papers by Patrick K. Kimes Breakdown of academic impact, for papers by Sunit Maity Breakdown of academic impact, for papers by Anastasia Lucas Breakdown of academic impact, for papers by Nate Barney Breakdown of academic impact, for papers by Milton Pividori Breakdown of academic impact, for papers by Elior Rahmani Breakdown of academic impact, for papers by Joshua C. Gilbert
Rankless by CCL
2026