Xin He

12.9k total citations · 1 hit paper
81 papers, 2.7k citations indexed

About

Xin He is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Xin He has authored 81 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 18 papers in Genetics and 11 papers in Oncology. Recurrent topics in Xin He's work include Genetic Associations and Epidemiology (9 papers), RNA modifications and cancer (8 papers) and Genomics and Rare Diseases (6 papers). Xin He is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), RNA modifications and cancer (8 papers) and Genomics and Rare Diseases (6 papers). Xin He collaborates with scholars based in China, United States and Türkiye. Xin He's co-authors include Matthew Stephens, Jean Morrison, Nicholas Knoblauch, Joseph Marcus, Chun‐Su Yuan, Chong‐Zhi Wang, Bin Zhang, Hao Li, Xia Yang and Chris Fuller and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Xin He

78 papers receiving 2.7k citations

Hit Papers

Mendelian randomization accounting for correlated and unc... 2020 2026 2022 2024 2020 100 200 300
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. Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics
    2020 332 citations Jean Morrison, Nicholas Knoblauch et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin He China 28 1.6k 896 404 282 258 81 2.7k
Bo Jiang China 32 1.4k 0.9× 431 0.5× 518 1.3× 465 1.6× 128 0.5× 96 2.7k
Dvir Dahary Israel 15 2.9k 1.8× 657 0.7× 744 1.8× 262 0.9× 72 0.3× 21 4.7k
Ying He China 24 1.1k 0.7× 160 0.2× 362 0.9× 198 0.7× 142 0.6× 59 2.3k
Shinichi Honda Japan 15 1.6k 1.0× 787 0.9× 349 0.9× 221 0.8× 42 0.2× 29 2.9k
Sabah Nisar Qatar 21 1.0k 0.6× 200 0.2× 504 1.2× 521 1.8× 176 0.7× 33 2.2k
Li Cui China 26 932 0.6× 199 0.2× 142 0.4× 110 0.4× 224 0.9× 85 2.5k
Weixin Wang China 29 1.5k 1.0× 247 0.3× 636 1.6× 600 2.1× 48 0.2× 129 3.0k
Michal Twik Israel 8 2.8k 1.8× 706 0.8× 682 1.7× 319 1.1× 40 0.2× 8 4.8k
Simon Fishilevich Israel 10 2.5k 1.6× 625 0.7× 622 1.5× 322 1.1× 33 0.1× 12 4.5k
Yun Zhu United States 29 1.3k 0.8× 614 0.7× 289 0.7× 345 1.2× 24 0.1× 84 2.6k

Countries citing papers authored by Xin He

Since Specialization
Citations

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

Fields of papers citing papers by Xin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin He

This figure shows the co-authorship network connecting the top 25 collaborators of Xin He. A scholar is included among the top collaborators of Xin 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 Xin He. Xin He 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.
Yin, Yajie, et al.. (2025). Protective effects and mechanism of resveratrol in animal models of pulmonary fibrosis: a preclinical systematic review and meta-analysis. Frontiers in Pharmacology. 16. 1666698–1666698. 2 indexed citations
2.
Li, Yuanyuan, Mengmeng Zhang, Xin He, et al.. (2023). Genome-based identification of the CYP75 gene family in Orchidaceae and its expression patterns in Cymbidium goeringii. Frontiers in Plant Science. 14. 1243828–1243828. 3 indexed citations
3.
Zhang, Siwei, Hanwen Zhang, Marc P. Forrest, et al.. (2023). Multiple genes in a single GWAS risk locus synergistically mediate aberrant synaptic development and function in human neurons. Cell Genomics. 3(9). 100399–100399. 9 indexed citations
4.
Yuan, Ping, et al.. (2023). Pathogenic Factors of Plant Pathogenic Streptomyces. Potato Research. 67(2). 621–646. 1 indexed citations
5.
Zhou, Yifan, Kaixuan Luo, Lifan Liang, Mengjie Chen, & Xin He. (2023). A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening. Nature Methods. 20(11). 1693–1703. 15 indexed citations
6.
7.
Lai, Ben, Sheng Qian, Siwei Zhang, et al.. (2022). Annotating functional effects of non-coding variants in neuropsychiatric cell types by deep transfer learning. PLoS Computational Biology. 18(5). e1010011–e1010011. 7 indexed citations
8.
He, Xin, Jianming Liu, Fei Gu, et al.. (2021). Cardiac CIP protein regulates dystrophic cardiomyopathy. Molecular Therapy. 30(2). 898–914. 6 indexed citations
9.
10.
Yang, Ruhao, Haizhen Yang, Jie Wei, et al.. (2021). Mechanisms Underlying the Effects of Lianhua Qingwen on Sepsis-Induced Acute Lung Injury: A Network Pharmacology Approach. Frontiers in Pharmacology. 12. 717652–717652. 30 indexed citations
11.
Gleason, Kevin J., Fan Yang, Brandon L. Pierce, Xin He, & Lin Chen. (2020). Primo: integration of multiple GWAS and omics QTL summary statistics for elucidation of molecular mechanisms of trait-associated SNPs and detection of pleiotropy in complex traits. Genome biology. 21(1). 26 indexed citations
12.
Zhang, Zijie, Kaixuan Luo, Zhongyu Zou, et al.. (2020). Genetic analyses support the contribution of mRNA N6-methyladenosine (m6A) modification to human disease heritability. Nature Genetics. 52(9). 939–949. 136 indexed citations
13.
Morrison, Jean, Nicholas Knoblauch, Joseph Marcus, Matthew Stephens, & Xin He. (2020). Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics. Nature Genetics. 52(7). 740–747. 332 indexed citations breakdown →
14.
15.
Li, Jinchen, Shanshan Hu, Kun Zhang, et al.. (2018). A comparative study of the genetic components of three subcategories of autism spectrum disorder. Molecular Psychiatry. 24(11). 1720–1731. 22 indexed citations
16.
17.
Liu, Li, Jing Lei, Stephan Sanders, et al.. (2014). DAWN: a framework to identify autism genes and subnetworks using gene expression and genetics. Molecular Autism. 5(1). 22–22. 89 indexed citations
18.
Chen, Zhigang, Xin He, Wenjie Xia, et al.. (2013). Prognostic Value and Clinicopathological Differences of HIFs in Colorectal Cancer: Evidence from Meta-Analysis. PLoS ONE. 8(12). e80337–e80337. 32 indexed citations
19.
He, Xin, Chris Fuller, Yi Song, et al.. (2013). Sherlock: Detecting Gene-Disease Associations by Matching Patterns of Expression QTL and GWAS. The American Journal of Human Genetics. 92(5). 667–680. 174 indexed citations
20.
He, Xin. (2003). A CASE-CONTROL STUDY OF 16 POLYMORPHISMS IN 13 CANDIDATE GENES AND OBESITY IN SAMOANS. OhioLink ETD Center (Ohio Library and Information Network). 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.

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