Sile Hu

3.4k total citations
44 papers, 656 citations indexed

About

Sile Hu is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Sile Hu has authored 44 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Physiology. Recurrent topics in Sile Hu's work include Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Pain Mechanisms and Treatments (4 papers). Sile Hu is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Pain Mechanisms and Treatments (4 papers). Sile Hu collaborates with scholars based in China, United States and United Kingdom. Sile Hu's co-authors include Zhe Chen, Qiaosheng Zhang, Jing Wang, Andrey L. Rogach, Haocheng Zhou, Erik Martinez, Aleksandra B. Djurišić, Jahrane Dale, Jingze Tan and Yu Liu and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Genetics.

In The Last Decade

Sile Hu

36 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sile Hu China 16 159 142 137 111 108 44 656
Tae‐Won Park South Korea 16 21 0.1× 82 0.6× 72 0.5× 14 0.1× 320 3.0× 54 888
Claudia Wolf Germany 14 124 0.8× 264 1.9× 153 1.1× 15 0.1× 9 0.1× 31 831
Christopher Hogg United Kingdom 20 60 0.4× 134 0.9× 265 1.9× 23 0.2× 33 0.3× 39 1.0k
Franziska Maier Germany 23 91 0.6× 316 2.2× 161 1.2× 31 0.3× 69 0.6× 51 1.3k
Yusuke Suzuki Japan 14 29 0.2× 163 1.1× 168 1.2× 13 0.1× 10 0.1× 55 659
A. R. Liboff United States 26 886 5.6× 114 0.8× 223 1.6× 15 0.1× 90 0.8× 74 2.1k
Jin Bao China 13 41 0.3× 105 0.7× 283 2.1× 131 1.2× 62 0.6× 19 1.0k
Atul Maheshwari United States 15 35 0.2× 275 1.9× 348 2.5× 12 0.1× 82 0.8× 40 873
René de Sèze France 22 222 1.4× 154 1.1× 59 0.4× 22 0.2× 165 1.5× 62 1.6k

Countries citing papers authored by Sile Hu

Since Specialization
Citations

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

Fields of papers citing papers by Sile Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sile Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Sile Hu. A scholar is included among the top collaborators of Sile Hu 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 Sile Hu. Sile Hu 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.
Fan, Jing, Yue Pang, Wei Li, et al.. (2025). Identification and Expression Patterns of Critical Genes Related to Coat Color in Cashmere Goats. Genes. 16(2). 222–222.
2.
Li, Haotian, Min Zhu, Sile Hu, et al.. (2025). Exploring the therapeutic mechanism of the Qing Palace Summer-avoiding Pearl based on network pharmacology and molecular dynamics simulation. Molecular & cellular biomechanics. 22(2). 1329–1329.
3.
Climente-González, Héctor, Min Oh, Urszula Chajewska, et al.. (2025). Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification. Communications Medicine. 5(1). 170–170. 2 indexed citations
4.
Hu, Sile, Sinan Shi, Garrett Hellenthal, et al.. (2025). Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits. Nature Genetics. 57(2). 379–389. 11 indexed citations
5.
Hao, Ting, Sile Hu, Zhenqun Zhao, et al.. (2025). Identification of osteoarthritis-associated chondrocyte subpopulations and key gene-regulating drugs based on multi-omics analysis. Scientific Reports. 15(1). 12448–12448. 1 indexed citations
6.
Liu, Jun, Sile Hu, Rui Huang, et al.. (2025). Dissecting metabolic dysfunction- and alcohol-associated liver disease (MetALD) using proteomic and metabolomic profiles. Journal of Hepatology. 83(5). 1035–1045.
8.
Wang, Ying, Min Zhang, Guoyu Zhang, et al.. (2024). Interactions between root and rhizosphere microbes mediate phosphorus acquisition in Pinus tabulaeformis. Industrial Crops and Products. 215. 118624–118624. 5 indexed citations
9.
Shi, Sinan, Simone Rubinacci, Sile Hu, et al.. (2024). A Genomics England haplotype reference panel and imputation of UK Biobank. Nature Genetics. 56(9). 1800–1803. 9 indexed citations
10.
Sergeeva, Kseniia A., Sile Hu, Arsenii S. Portniagin, et al.. (2023). Obviating Ligand Exchange Preserves the Intact Surface of HgTe Colloidal Quantum Dots and Enhances Performance of Short Wavelength Infrared Photodetectors. Advanced Materials. 36(17). e2306518–e2306518. 25 indexed citations
11.
Sergeeva, Kseniia A., Kezhou Fan, Aleksandr A. Sergeev, et al.. (2022). Ultrafast Charge Carrier Dynamics and Transport Characteristics in HgTe Quantum Dots. The Journal of Physical Chemistry C. 126(45). 19229–19239. 14 indexed citations
12.
An, Jin, Hae Yeon Kang, Woo Jin Kim, et al.. (2021). Genome-Wide Association Study of Korean Asthmatics: A Comparison With UK Asthmatics. Allergy Asthma and Immunology Research. 13(4). 609–609. 6 indexed citations
13.
Portelli, Michael A., et al.. (2021). Translational Analysis of Moderate to Severe Asthma GWAS Signals Into Candidate Causal Genes and Their Functional, Tissue-Dependent and Disease-Related Associations. SHILAP Revista de lepidopterología. 2. 738741–738741. 3 indexed citations
14.
Qiao, Lu, Yajun Yang, Pengcheng Fu, et al.. (2018). Genome-wide variants of Eurasian facial shape differentiation and a prospective model of DNA based face prediction. Journal of genetics and genomics. 45(8). 419–432. 31 indexed citations
15.
Zhou, Haocheng, Qiaosheng Zhang, Erik Martinez, et al.. (2018). Ketamine reduces aversion in rodent pain models by suppressing hyperactivity of the anterior cingulate cortex. Nature Communications. 9(1). 3751–3751. 83 indexed citations
16.
Zhang, Qiaosheng, Sile Hu, Prathamesh Kulkarni, et al.. (2018). Local field potential decoding of the onset and intensity of acute pain in rats. Scientific Reports. 8(1). 8299–8299. 20 indexed citations
17.
Hu, Sile, et al.. (2018). Ensembles of change-point detectors: implications for real-time BMI applications. Journal of Computational Neuroscience. 46(1). 107–124. 13 indexed citations
18.
Hu, Sile, et al.. (2017). Signatures of personality on dense 3D facial images. Scientific Reports. 7(1). 73–73. 17 indexed citations
19.
Peng, Shouneng, Jingze Tan, Sile Hu, et al.. (2013). Detecting Genetic Association of Common Human Facial Morphological Variation Using High Density 3D Image Registration. PLoS Computational Biology. 9(12). e1003375–e1003375. 36 indexed citations
20.
Theunert, Christoph, Kun Tang, Michael Lachmann, Sile Hu, & Mark Stoneking. (2012). Inferring the History of Population Size Change from Genome-Wide SNP Data. Molecular Biology and Evolution. 29(12). 3653–3667. 16 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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