Jiangwen Sun

1.2k total citations
33 papers, 722 citations indexed

About

Jiangwen Sun is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Jiangwen Sun has authored 33 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Artificial Intelligence. Recurrent topics in Jiangwen Sun's work include Genetic Associations and Epidemiology (9 papers), Gene expression and cancer classification (7 papers) and Bioinformatics and Genomic Networks (5 papers). Jiangwen Sun is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Gene expression and cancer classification (7 papers) and Bioinformatics and Genomic Networks (5 papers). Jiangwen Sun collaborates with scholars based in United States, China and Ireland. Jiangwen Sun's co-authors include Jinbo Bi, Jin Lü, Henry R. Kranzler, Zongliang Jiang, Joel Gelernter, Xiuchun Tian, Chao Shang, Rachel J. O’Neill, Craig Obergfell and Jingbo Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jiangwen Sun

32 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangwen Sun United States 14 276 146 136 136 117 33 722
Konrad Rawlik United Kingdom 16 360 1.3× 98 0.7× 46 0.3× 496 3.6× 67 0.6× 30 1.1k
Rui Yan China 15 543 2.0× 396 2.7× 186 1.4× 133 1.0× 71 0.6× 42 1.1k
Wenjie Shu China 21 1.2k 4.2× 150 1.0× 57 0.4× 141 1.0× 178 1.5× 52 1.7k
Zichuan Liu China 18 689 2.5× 107 0.7× 406 3.0× 151 1.1× 246 2.1× 51 1.3k
Yingnian Wu China 9 738 2.7× 91 0.6× 421 3.1× 123 0.9× 23 0.2× 37 1.5k
Naisha Shah United States 12 385 1.4× 18 0.1× 40 0.3× 249 1.8× 82 0.7× 19 877
Dongge Li United States 12 66 0.2× 139 1.0× 453 3.3× 33 0.2× 34 0.3× 37 861
Yiya Yang China 15 437 1.6× 58 0.4× 31 0.2× 84 0.6× 16 0.1× 39 731

Countries citing papers authored by Jiangwen Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jiangwen Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangwen Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangwen Sun. A scholar is included among the top collaborators of Jiangwen Sun 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 Jiangwen Sun. Jiangwen Sun 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.
Li, Chaoyang, Yuxia Li, Xujia Zhang, et al.. (2023). A single‐cell atlas of bovine skeletal muscle reveals mechanisms regulating intramuscular adipogenesis and fibrogenesis. Journal of Cachexia Sarcopenia and Muscle. 14(5). 2152–2167. 28 indexed citations
2.
Li, Chaoyang, Yuxia Li, Junxing Zhao, et al.. (2023). Tcf21 marks visceral adipose mesenchymal progenitors and functions as a rate-limiting factor during visceral adipose tissue development. Cell Reports. 42(3). 112166–112166. 4 indexed citations
3.
Wriggers, Willy, et al.. (2022). Refinement of AlphaFold2 models against experimental and hybrid cryo-EM density maps. SHILAP Revista de lepidopterología. 3. 5 indexed citations
4.
Li, Chaoyang, Jangwook P. Jung, Jiangwen Sun, et al.. (2022). Loss of Acta2 in cardiac fibroblasts does not prevent the myofibroblast differentiation or affect the cardiac repair after myocardial infarction. Journal of Molecular and Cellular Cardiology. 171. 117–132. 19 indexed citations
5.
Sazzed, Salim, et al.. (2021). A Tool for Segmentation of Secondary Structures in 3D Cryo-EM Density Map Components Using Deep Convolutional Neural Networks. SHILAP Revista de lepidopterología. 1. 710119–710119. 10 indexed citations
6.
Li, Yunsheng, Jiangwen Sun, Yinghui Ling, et al.. (2020). Transcription profiles of oocytes during maturation and embryos during preimplantation development in vivo in the goat. Reproduction Fertility and Development. 32(7). 714–725. 9 indexed citations
7.
Chao, Guoqing, Jiangwen Sun, Jin Lü, et al.. (2019). Multi-view cluster analysis with incomplete data to understand treatment effects. Information Sciences. 494. 278–293. 63 indexed citations
8.
Sun, Jiangwen, Henry R. Kranzler, Joel Gelernter, & Jinbo Bi. (2019). A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interaction. Journal of Psychiatry and Neuroscience. 45(1). 34–44. 18 indexed citations
9.
Lü, Jin, Jiangwen Sun, Xinyu Wang, et al.. (2018). Inferring phenotypes from substance use via collaborative matrix completion. BMC Systems Biology. 12(S6). 104–104.
10.
Lü, Jin, Jiangwen Sun, Xinyu Wang, et al.. (2017). Collaborative phenotype inference from comorbid substance use disorders and genotypes. PubMed. 82. 392–397. 1 indexed citations
11.
Shang, Chao, et al.. (2017). VIGAN: Missing view imputation with generative adversarial networks. PubMed. 2017. 766–775. 86 indexed citations
12.
Sun, Jiangwen, Jin Lü, Tingyang Xu, & Jinbo Bi. (2015). Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. International Conference on Machine Learning. 757–766. 34 indexed citations
13.
Sun, Jiangwen, Henry R. Kranzler, & Jinbo Bi. (2015). An Effective Method to Identify Heritable Components from Multivariate Phenotypes. PLoS ONE. 10(12). e0144418–e0144418. 3 indexed citations
14.
Sun, Jiangwen, Jinbo Bi, & Henry R. Kranzler. (2014). Multi-view singular value decomposition for disease subtyping and genetic associations. BMC Genetics. 15(1). 73–73. 24 indexed citations
15.
Jiang, Zongliang, Jiangwen Sun, Hong Dong, et al.. (2014). Transcriptional profiles of bovine in vivo pre-implantation development. BMC Genomics. 15(1). 756–756. 155 indexed citations
16.
Bi, Jinbo, Jiangwen Sun, Tingyang Xu, et al.. (2014). A sparse integrative cluster analysis for understanding soybean phenotypes. 1 indexed citations
17.
Bi, Jinbo, Joel Gelernter, Jiangwen Sun, & Henry R. Kranzler. (2013). Comparing the utility of homogeneous subtypes of cocaine use and related behaviors with DSM‐IV cocaine dependence as traits for genetic association analysis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 165(2). 148–156. 21 indexed citations
18.
Bi, Jinbo, Jiangwen Sun, Yu‐Wei Wu, Howard Tennen, & Stephen Armeli. (2013). A machine learning approach to college drinking prediction and risk factor identification. ACM Transactions on Intelligent Systems and Technology. 4(4). 1–24. 19 indexed citations
19.
Sun, Jiangwen, Jinbo Bi, & Henry R. Kranzler. (2013). Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features. 811–819. 2 indexed citations
20.
Sun, Jiangwen, Jinbo Bi, Grace Chan, et al.. (2012). Improved methods to identify stable, highly heritable subtypes of opioid use and related behaviors. Addictive Behaviors. 37(10). 1138–1144. 35 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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