Ke Hao

1.4k total citations
30 papers, 923 citations indexed

About

Ke Hao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ke Hao has authored 30 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Ke Hao's work include RNA Research and Splicing (11 papers), RNA modifications and cancer (8 papers) and Cancer-related molecular mechanisms research (8 papers). Ke Hao is often cited by papers focused on RNA Research and Splicing (11 papers), RNA modifications and cancer (8 papers) and Cancer-related molecular mechanisms research (8 papers). Ke Hao collaborates with scholars based in China, United States and Hong Kong. Ke Hao's co-authors include Baowei Jiao, Li Zou, Qin Yang, Limin Zhao, Haibo Xu, Honglei Zhang, Ross S. Berkowitz, Samuel C. Mok, William R. Welch and Xiaosan Su and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ke Hao

30 papers receiving 914 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Hao China 15 626 403 126 110 82 30 923
Angela Russo United States 20 537 0.9× 141 0.3× 83 0.7× 142 1.3× 119 1.5× 38 1.0k
Lucia Cappabianca Italy 19 570 0.9× 282 0.7× 83 0.7× 185 1.7× 29 0.4× 45 944
Charlie Degui Chen China 18 1.3k 2.0× 180 0.4× 185 1.5× 90 0.8× 73 0.9× 31 1.5k
Takao Matsuda Japan 17 539 0.9× 186 0.5× 180 1.4× 136 1.2× 27 0.3× 38 884
Martha Noel United States 6 416 0.7× 187 0.5× 61 0.5× 156 1.4× 59 0.7× 17 681
Charles Marcaillou France 8 567 0.9× 506 1.3× 93 0.7× 107 1.0× 64 0.8× 14 1.1k
Nakwon Choe South Korea 18 831 1.3× 251 0.6× 85 0.7× 115 1.0× 16 0.2× 30 1.0k
Mary K. Luidens United States 17 474 0.8× 122 0.3× 140 1.1× 206 1.9× 28 0.3× 24 1.1k
Xianmin Xia United States 18 634 1.0× 99 0.2× 144 1.1× 206 1.9× 35 0.4× 24 967
Katherine E. Keating United Kingdom 13 1.1k 1.8× 239 0.6× 88 0.7× 400 3.6× 82 1.0× 22 1.3k

Countries citing papers authored by Ke Hao

Since Specialization
Citations

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

Fields of papers citing papers by Ke Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Hao. A scholar is included among the top collaborators of Ke Hao 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 Ke Hao. Ke Hao 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.
Hao, Ke, et al.. (2024). Dual role of pregnancy in breast cancer risk. General and Comparative Endocrinology. 352. 114501–114501. 6 indexed citations
2.
Li, Jiaxi, Mei Li, Ke Hao, et al.. (2024). LEAP2 ameliorates high fat diet-impaired glucose tolerance and enhances glucose-stimulated insulin secretion from β cells through PPARγ signal pathway. Chinese Medical Journal. 137(18). 2266–2268. 1 indexed citations
3.
Hao, Ke, Chunping Huang, Jiali Wang, et al.. (2024). Histone β‐hydroxybutyrylation is critical in reversal of sarcopenia. Aging Cell. 23(11). e14284–e14284. 8 indexed citations
4.
Lin, Junqiang, Ke Hao, Liang Lin, et al.. (2023). Changes in the mammary gland during aging and its links with breast diseases. Acta Biochimica et Biophysica Sinica. 55(6). 1001–1019. 15 indexed citations
5.
Hao, Ke, Kang Liu, Baowei Jiao, & Limin Zhao. (2023). Implications of TDP-43 in non-neuronal systems. Cell Communication and Signaling. 21(1). 338–338. 5 indexed citations
6.
Li, Jiaxi, Pu Huang, Jing Xiong, et al.. (2022). Serum levels of ghrelin and LEAP2 in patients with type 2 diabetes mellitus: correlation with circulating glucose and lipids. Endocrine Connections. 11(5). 20 indexed citations
7.
Guo, Lu, Ke Hao, Honglei Zhang, et al.. (2022). TDP43 promotes stemness of breast cancer stem cells through CD44 variant splicing isoforms. Cell Death and Disease. 13(5). 428–428. 22 indexed citations
9.
Xu, Haibo, Xing Yang, Weiren Huang, et al.. (2020). Single-cell profiling of long noncoding RNAs and their cell lineage commitment roles via RNA-DNA-DNA triplex formation in mammary epithelium. Stem Cells. 38(12). 1594–1611. 14 indexed citations
10.
Zhao, Limin, Ke Hao, Haibo Xu, et al.. (2020). TDP-43 facilitates milk lipid secretion by post-transcriptional regulation of Btn1a1 and Xdh. Nature Communications. 11(1). 341–341. 30 indexed citations
11.
Zhao, Limin, Lingling Li, Haibo Xu, et al.. (2019). TDP-43 is Required for Mammary Gland Repopulation and Proliferation of Mammary Epithelial Cells. Stem Cells and Development. 28(14). 944–953. 7 indexed citations
12.
Wang, Shaowei, Ke Hao, Honglei Zhang, et al.. (2018). LncRNA MIR100HG promotes cell proliferation in triple-negative breast cancer through triplex formation with p27 loci. Cell Death and Disease. 9(8). 805–805. 111 indexed citations
13.
Shao-jun, Chen, Fanping Kong, Jilong Ren, et al.. (2014). Overactivation of corticotropin-releasing factor receptor type 1 and aquaporin-4 by hypoxia induces cerebral edema. Proceedings of the National Academy of Sciences. 111(36). 13199–13204. 54 indexed citations
14.
Zhao, Yang, Mingyang Wang, Ke Hao, Xuequn Chen, & Ji-Zeng Du. (2013). CRHR1 mediates p53 transcription induced by high altitude hypoxia through ERK 1/2 signaling in rat hepatic cells. Peptides. 44. 8–14. 12 indexed citations
15.
Beroukhim, Rameen, Ming‐Wei Lin, Yuhyun Park, et al.. (2007). Correction: Inferring Loss-of-Heterozygosity from Unpaired Tumors Using High-Density Oligonucleotide SNP Arrays. PLoS Computational Biology. 3(2). e40–e40. 7 indexed citations
16.
Birrer, Michael J., Michael E. Johnson, Ke Hao, et al.. (2007). Whole Genome Oligonucleotide-Based Array Comparative Genomic Hybridization Analysis Identified Fibroblast Growth Factor 1 As a Prognostic Marker for Advanced-Stage Serous Ovarian Adenocarcinomas. Journal of Clinical Oncology. 25(16). 2281–2287. 111 indexed citations
17.
Wamunyokoli, Fred, Tomás Bonome, Colleen M. Feltmate, et al.. (2006). Expression Profiling of Mucinous Tumors of the Ovary Identifies Genes of Clinicopathologic Importance. Clinical Cancer Research. 12(3). 690–700. 50 indexed citations
18.
Beroukhim, Rameen, Ming Gang Lin, Yuhyun Park, et al.. (2006). Inferring Loss-of-Heterozygosity from Unpaired Tumors Using High-Density Oligonucleotide SNP Arrays. PLoS Computational Biology. 2(5). e41–e41. 119 indexed citations
19.
Feltmate, Colleen M., Kenneth R. Lee, Michael E. Johnson, et al.. (2005). Whole-Genome Allelotyping Identified Distinct Loss-of-Heterozygosity Patterns in Mucinous Ovarian and Appendiceal Carcinomas. Clinical Cancer Research. 11(21). 7651–7657. 17 indexed citations
20.
Shi, Herong, Weimin Zhang, & Ke Hao. (2005). Effects of cysteamine hydrochloride and luteinizing hormone-releasing hormone analog on growth hormone secretion in Yellow-Fin Porgy. Acta Oceanologica Sinica. 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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