Ying Hu

4.7k total citations
73 papers, 1.7k citations indexed

About

Ying Hu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ying Hu has authored 73 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in Ying Hu's work include RNA Research and Splicing (10 papers), Gene expression and cancer classification (8 papers) and Epigenetics and DNA Methylation (7 papers). Ying Hu is often cited by papers focused on RNA Research and Splicing (10 papers), Gene expression and cancer classification (8 papers) and Epigenetics and DNA Methylation (7 papers). Ying Hu collaborates with scholars based in United States, China and Canada. Ying Hu's co-authors include Chunhua Yan, Kenneth H. Buetow, Daoud Meerzaman, Maxwell P. Lee, Howard H. Yang, Kent W. Hunter, Qingrong Chen, George A. Komatsoulis, Chih-Hao Hsu and Feng Ye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ying Hu

71 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Hu United States 25 1.0k 326 287 284 219 73 1.7k
Lina Li China 26 1.2k 1.2× 284 0.9× 165 0.6× 392 1.4× 110 0.5× 90 1.7k
Linlin Zhao China 23 1.2k 1.1× 280 0.9× 137 0.5× 260 0.9× 236 1.1× 69 1.9k
Kenta Masuda Japan 25 896 0.9× 278 0.9× 236 0.8× 496 1.7× 83 0.4× 77 1.7k
Qinghua Ma China 23 928 0.9× 344 1.1× 102 0.4× 320 1.1× 337 1.5× 98 1.7k
Ying Ni United States 25 1.2k 1.2× 305 0.9× 277 1.0× 434 1.5× 95 0.4× 114 2.1k
Min Jin China 17 659 0.6× 146 0.4× 224 0.8× 304 1.1× 274 1.3× 38 1.4k
Alexey A. Larionov United Kingdom 20 965 0.9× 471 1.4× 547 1.9× 440 1.5× 136 0.6× 49 2.0k
Yongfang Wang China 19 610 0.6× 296 0.9× 107 0.4× 302 1.1× 163 0.7× 90 1.3k
Haichuan Wang United States 25 1.3k 1.2× 167 0.5× 172 0.6× 270 1.0× 323 1.5× 92 2.0k

Countries citing papers authored by Ying Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Hu. A scholar is included among the top collaborators of Ying 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 Ying Hu. Ying 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.
Krauze, Andra, Michael Sierk, Qingrong Chen, et al.. (2023). Glioblastoma survival is associated with distinct proteomic alteration signatures post chemoirradiation in a large-scale proteomic panel. Frontiers in Oncology. 13. 1127645–1127645. 7 indexed citations
2.
Voisin, Benjamin, Vinod Nadella, Thomas Doebel, et al.. (2023). Macrophage-mediated extracellular matrix remodeling controls host Staphylococcus aureus susceptibility in the skin. Immunity. 56(7). 1561–1577.e9. 23 indexed citations
3.
4.
Hu, Ying, Xiao Zhang, Dan Zhou, et al.. (2023). Biochar loaded with bacteria enhanced Cd/Zn phytoextraction by facilitating plant growth and shaping rhizospheric microbial community. Environmental Pollution. 327. 121559–121559. 42 indexed citations
5.
Hu, Nan, Chaoyu Wang, Tongwu Zhang, et al.. (2022). CSMD1 Shows Complex Patterns of Somatic Copy Number Alterations and Expressions of mRNAs and Target Micro RNAs in Esophageal Squamous Cell Carcinoma. Cancers. 14(20). 5001–5001. 2 indexed citations
6.
Xu, Heng, Ying Hu, Xinyu Zhang, et al.. (2022). A novel graph-based k-partitioning approach improves the detection of gene-gene correlations by single-cell RNA sequencing. BMC Genomics. 23(1). 35–35. 4 indexed citations
7.
Sheshadri, Namratha, Dipak K. Poria, Shikha Sharan, et al.. (2021). PERK signaling through C/EBPδ contributes to ER stress-induced expression of immunomodulatory and tumor promoting chemokines by cancer cells. Cell Death and Disease. 12(11). 1038–1038. 30 indexed citations
8.
Vodnala, Suman K., Howard H. Yang, Randall A. Dass, et al.. (2019). Aicardi-Goutières syndrome gene Rnaseh2c is a metastasis susceptibility gene in breast cancer. PLoS Genetics. 15(5). e1008020–e1008020. 11 indexed citations
9.
Bian, Xiaopeng, Bin Zhu, Mingyi Wang, et al.. (2018). Comparing the performance of selected variant callers using synthetic data and genome segmentation. BMC Bioinformatics. 19(1). 429–429. 29 indexed citations
10.
Veschi, Veronica, Zhihui Liu, Ty C. Voss, et al.. (2017). Epigenetic siRNA and Chemical Screens Identify SETD8 Inhibition as a Therapeutic Strategy for p53 Activation in High-Risk Neuroblastoma. Cancer Cell. 31(1). 50–63. 72 indexed citations
11.
Winter, Jean M., Derek Gildea, Jonathan Andreas, et al.. (2016). Mapping Complex Traits in a Diversity Outbred F1 Mouse Population Identifies Germline Modifiers of Metastasis in Human Prostate Cancer. Cell Systems. 4(1). 31–45.e6. 38 indexed citations
12.
Chen, Qing-Rong, Ying Hu, Chunhua Yan, Kenneth H. Buetow, & Daoud Meerzaman. (2014). Systematic Genetic Analysis Identifies Cis-eQTL Target Genes Associated with Glioblastoma Patient Survival. PLoS ONE. 9(8). e105393–e105393. 23 indexed citations
13.
Chen, Qing-Rong, Rosemary Braun, Ying Hu, et al.. (2013). Multi-SNP Analysis of GWAS Data Identifies Pathways Associated with Nonalcoholic Fatty Liver Disease. PLoS ONE. 8(7). e65982–e65982. 18 indexed citations
14.
Hu, Ying, et al.. (2012). Cloning and Expression of Longan Carbonic Anhydrase Gene Under Low Temperature Stress. Acta Horticulturae Sinica. 39(2). 243. 4 indexed citations
15.
Hu, Nan, Chaoyu Wang, Ying Hu, et al.. (2006). Genome-wide loss of heterozygosity and copy number alteration in esophageal squamous cell carcinoma using the Affymetrix GeneChip Mapping 10 K array. BMC Genomics. 7(1). 299–299. 36 indexed citations
16.
Zhang, Zhiqian, Jin‐Ping Li, & Ying Hu. (2005). Secretion of Recombinant Proteins in Mammalian Cells Directed by Growth Hormone Signal Peptide. Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 21(2). 282–286. 3 indexed citations
17.
Hu, Nan, Hua Su, Wen Jun Li, et al.. (2005). Allelotyping of esophageal squamous‐cell carcinoma on chromosome 13 defines deletions related to family history. Genes Chromosomes and Cancer. 44(3). 271–278. 14 indexed citations
18.
Clifford, Robert, et al.. (2004). Bioinformatics Tools for Single Nucleotide Polymorphism Discovery and Analysis. Annals of the New York Academy of Sciences. 1020(1). 101–109. 29 indexed citations
19.
Mallari, Jeremy P., Cindy J. Choy, Ying Hu, et al.. (2004). Stereoselective inhibition of glutamate carboxypeptidase by organophosphorus derivatives of glutamic acid. Bioorganic & Medicinal Chemistry. 12(22). 6011–6020. 13 indexed citations
20.
Mizoguchi, Tadashi, et al.. (1996). ANALYSIS OF CAROTENOIDS IN THE CAROTENOID GENES MUTANT, Rhodospirillum rubrum ST4. Plant and Cell Physiology. 37. 47. 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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