Liang He

6.7k total citations · 2 hit papers
80 papers, 3.1k citations indexed

About

Liang He is a scholar working on Genetics, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Liang He has authored 80 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 23 papers in Molecular Biology and 17 papers in Endocrine and Autonomic Systems. Recurrent topics in Liang He's work include Genetic Associations and Epidemiology (18 papers), Neuroscience of respiration and sleep (17 papers) and Influenza Virus Research Studies (7 papers). Liang He is often cited by papers focused on Genetic Associations and Epidemiology (18 papers), Neuroscience of respiration and sleep (17 papers) and Influenza Virus Research Studies (7 papers). Liang He collaborates with scholars based in United States, China and Finland. Liang He's co-authors include Manolis Kellis, Li‐Huei Tsai, José Dávila-Velderrain, David A. Bennett, B. Dinger, Fan Gao, Madhvi Menon, Hansruedi Mathys, Xueqiao Jiang and Shahin Mohammadi and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Liang He

76 papers receiving 3.1k citations

Hit Papers

Single-cell transcriptomic analysis of Alzheimer’s disease 2019 2026 2021 2023 2019 2021 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang He United States 25 1.3k 841 807 498 397 80 3.1k
David Engblom Sweden 32 1.1k 0.8× 485 0.6× 454 0.6× 256 0.5× 393 1.0× 74 3.7k
Zhe Wang China 28 1.2k 0.9× 705 0.8× 576 0.7× 218 0.4× 67 0.2× 136 3.1k
Nian Xiong China 33 1.1k 0.9× 546 0.6× 575 0.7× 210 0.4× 110 0.3× 125 3.9k
Yun Li China 35 1.5k 1.2× 641 0.8× 648 0.8× 212 0.4× 81 0.2× 174 4.2k
Man Yu China 13 1.8k 1.4× 345 0.4× 1.4k 1.8× 125 0.3× 237 0.6× 44 4.0k
Futwan Al‐Mohanna Saudi Arabia 34 1.7k 1.3× 742 0.9× 200 0.2× 414 0.8× 130 0.3× 119 3.9k
Giovanni Rizzo Italy 36 1.7k 1.3× 1.2k 1.4× 411 0.5× 264 0.5× 188 0.5× 143 6.3k
Toshiyuki Motoike Japan 17 2.1k 1.6× 1.1k 1.3× 169 0.2× 231 0.5× 552 1.4× 31 3.5k
Masataka Nishimura Japan 37 1.0k 0.8× 447 0.5× 364 0.5× 340 0.7× 229 0.6× 116 4.3k
Marcus Seldin United States 34 2.4k 1.9× 1.6k 1.9× 172 0.2× 424 0.9× 274 0.7× 78 5.1k

Countries citing papers authored by Liang He

Since Specialization
Citations

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

Fields of papers citing papers by Liang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang He

This figure shows the co-authorship network connecting the top 25 collaborators of Liang He. A scholar is included among the top collaborators of Liang 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 Liang He. Liang 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.
Xu, Hongxia, Liang He, Siyu Long, et al.. (2025). Advancing interpretable cardiac disease diagnosis via a transformer-convolutional hybrid network on electrocardiograms. Engineering Applications of Artificial Intelligence. 152. 110675–110675. 1 indexed citations
2.
He, Liang, et al.. (2025). Immunocytes Mediate the Effects of Gut Microbiome on Inflammatory Bowel Disease: Insights From a Mendelian Randomization Study. Mediators of Inflammation. 2025(1). 9956259–9956259.
3.
Ling, Lei, Liang He, Jun Qiu, et al.. (2025). Predicting early diagnosis of intensive care unit-acquired weakness in septic patients using critical ultrasound and biological markers. BMC Anesthesiology. 25(1). 39–39. 1 indexed citations
4.
Sumida, Tomokazu S., Matthew R. Lincoln, Liang He, et al.. (2024). An autoimmune transcriptional circuit drives FOXP3 + regulatory T cell dysfunction. Science Translational Medicine. 16(762). eadp1720–eadp1720. 8 indexed citations
5.
He, Liang, et al.. (2023). A robust and fast two‐sample test of equal correlations with an application to differential co‐expression. Statistics in Medicine. 42(16). 2760–2776. 3 indexed citations
6.
Hu, Ting, Liang He, Fan Yang, et al.. (2023). Testing for viral DNA integration among HPV‐positive women to detect cervical precancer: An observational cohort study. BJOG An International Journal of Obstetrics & Gynaecology. 131(3). 309–318. 12 indexed citations
7.
Hou, Lei, Xushen Xiong, Yongjin Park, et al.. (2023). Multitissue H3K27ac profiling of GTEx samples links epigenomic variation to disease. Nature Genetics. 55(10). 1665–1676. 11 indexed citations
8.
He, Liang, José Dávila-Velderrain, Tomokazu S. Sumida, et al.. (2021). NEBULA is a fast negative binomial mixed model for differential or co-expression analysis of large-scale multi-subject single-cell data. Communications Biology. 4(1). 629–629. 63 indexed citations
9.
He, Liang & Alexander M. Kulminski. (2020). Fast Algorithms for Conducting Large-Scale GWAS of Age-at-Onset Traits Using Cox Mixed-Effects Models. Genetics. 215(1). 41–58. 17 indexed citations
10.
Kulminski, Alexander M., et al.. (2020). Haplotype architecture of the Alzheimer's risk in the APOE region via co‐skewness. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 12(1). e12129–e12129. 12 indexed citations
11.
Mudge, Jonathan M., Irwin Jungreis, Toby Hunt, et al.. (2019). Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci. Genome Research. 29(12). 2073–2087. 43 indexed citations
12.
Liang, Jiwei, Jianping Sun, Xin Song, et al.. (2017). Association between fruit, vegetable, seafood, and dairy intake and a reduction in the prevalence of type 2 diabetes in Qingdao, China.. PubMed. 26(2). 255–261. 4 indexed citations
13.
Kulminski, Alexander M., Liang He, Irina Culminskaya, et al.. (2016). Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. PLoS Genetics. 12(11). e1006314–e1006314. 20 indexed citations
14.
He, Liang & Janne Pitkäniemi. (2014). Family-based Bayesian collapsing method for rare-variant association study. BMC Proceedings. 8(S1). S37–S37. 1 indexed citations
15.
He, Liang, Qiwen Wu, Kaijun Jiang, et al.. (2014). Differences in transmissibility and pathogenicity of reassortants between H9N2 and 2009 pandemic H1N1 influenza A viruses from humans and swine. Archives of Virology. 159(7). 1743–1754. 6 indexed citations
16.
Liu, Xuemei, Liang He, B. Dinger, L.J. Stensaas, & Salvatore Fidone. (2013). Sustained Exposure to Cytokines and Hypoxia Enhances Excitability of Oxygen-Sensitive Type I Cells in Rat Carotid Body: Correlation with the Expression of HIF-1α Protein and Adrenomedullin. High Altitude Medicine & Biology. 14(1). 53–60. 12 indexed citations
17.
Loukola, Anu, Juho Wedenoja, Kaisu Keskitalo‐Vuokko, et al.. (2013). Genome-wide association study on detailed profiles of smoking behavior and nicotine dependence in a twin sample. Molecular Psychiatry. 19(5). 615–624. 46 indexed citations
18.
Liu, Xuemei, Liang He, B. Dinger, L.J. Stensaas, & Salvatore Fidone. (2012). Effect of Endothelin Receptor Antagonist Bosentan on Chronic Hypoxia-Induced Inflammation and Chemoafferent Neuron Adaptation in Rat Carotid Body. High Altitude Medicine & Biology. 13(3). 209–216. 10 indexed citations
19.
Laaksonen, Mikko, Liang He, & Janne Pitkäniemi. (2012). The Durations of Past Sickness Absences Predict Future Absence Episodes. Journal of Occupational and Environmental Medicine. 55(1). 87–92. 43 indexed citations
20.
Chen, Jianliang, Liang He, B. Dinger, L.J. Stensaas, & S. Fidone. (2002). Chronic hypoxia upregulates connexin43 expression in rat carotid body and petrosal ganglion. Journal of Applied Physiology. 92(4). 1480–1486. 32 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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