Jing Hao

1.3k total citations
15 papers, 550 citations indexed

About

Jing Hao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jing Hao has authored 15 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Jing Hao's work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (7 papers) and MicroRNA in disease regulation (6 papers). Jing Hao is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (7 papers) and MicroRNA in disease regulation (6 papers). Jing Hao collaborates with scholars based in China and United States. Jing Hao's co-authors include Yangming Wang, Chen Dong, Ling Ni, Yi He, Jing Li, Ming Shi, Xiwen Wang, Yuelong Yan, Mi Li and Ming Jia and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Cell Biology.

In The Last Decade

Jing Hao

15 papers receiving 547 citations

Peers

Jing Hao
Linchao Lu United States
Kevin A. Hoegenauer United States
Jay F. Sarthy United States
Jacob W. Freimer United States
Pytrick Jellema Netherlands
Zongtai Qi United States
Jing Hao
Citations per year, relative to Jing Hao Jing Hao (= 1×) peers Chenlin Song

Countries citing papers authored by Jing Hao

Since Specialization
Citations

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

Fields of papers citing papers by Jing Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Hao. A scholar is included among the top collaborators of Jing 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 Jing Hao. Jing Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Wang, Shaohua, Jing Hao, Ming Shi, et al.. (2022). KLF17 promotes human naive pluripotency through repressing MAPK3 and ZIC2. Science China Life Sciences. 65(10). 1985–1997. 6 indexed citations
2.
Hao, Jing, Xiaohong Zhao, Lu Ni, et al.. (2022). SMAD4, activated by the TCR-triggered MEK/ERK signaling pathway, critically regulates CD8 + T cell cytotoxic function. Science Advances. 8(30). eabo4577–eabo4577. 11 indexed citations
3.
Guo, Wenting, Shaohua Wang, Xiaoshan Zhang, et al.. (2021). Acidic pH transiently prevents the silencing of self-renewal and dampens microRNA function in embryonic stem cells. Science Bulletin. 66(13). 1319–1329. 7 indexed citations
4.
Hao, Jing, Xi Yang, Ming Shi, et al.. (2020). KLF3 promotes the 8‐cell‐like transcriptional state in pluripotent stem cells. Cell Proliferation. 53(11). e12914–e12914. 6 indexed citations
5.
Yan, Yuelong, Jing Hao, Xuelian Wang, et al.. (2019). DPPA2/4 and SUMO E3 ligase PIAS4 opposingly regulate zygotic transcriptional program. PLoS Biology. 17(6). e3000324–e3000324. 74 indexed citations
6.
Yan, Yuelong, et al.. (2019). Cellular redox state as a critical factor in initiating early embryonic-like program in embryonic stem cells. Cell Discovery. 5(1). 59–59. 9 indexed citations
7.
Li, Yapu, Yuting Zhao, Jing Hao, et al.. (2019). A TRIM71 binding long noncoding RNA Trincr1 represses FGF/ERK signaling in embryonic stem cells. Nature Communications. 10(1). 1368–1368. 43 indexed citations
8.
Wang, Xiwen, et al.. (2019). A microRNA-inducible CRISPR–Cas9 platform serves as a microRNA sensor and cell-type-specific genome regulation tool. Nature Cell Biology. 21(4). 522–530. 120 indexed citations
9.
Shi, Ming, et al.. (2019). Functional Dissection of pri-miR-290~295 in Dgcr8 Knockout Mouse Embryonic Stem Cells. International Journal of Molecular Sciences. 20(18). 4345–4345. 3 indexed citations
10.
Li, Jing, Yi He, Jing Hao, Ling Ni, & Chen Dong. (2018). High Levels of Eomes Promote Exhaustion of Anti-tumor CD8+ T Cells. Frontiers in Immunology. 9. 2981–2981. 135 indexed citations
11.
Yan, Ying, Xi Yang, Tingting Li, et al.. (2017). Significant differences of function and expression of microRNAs between ground state and serum-cultured pluripotent stem cells. Journal of genetics and genomics. 44(4). 179–189. 12 indexed citations
12.
Wang, Xiwen, Jing Hao, Wenting Guo, et al.. (2017). A DGCR8-Independent Stable MicroRNA Expression Strategy Reveals Important Functions of miR-290 and miR-183–182 Families in Mouse Embryonic Stem Cells. Stem Cell Reports. 9(5). 1618–1629. 19 indexed citations
13.
Hao, Jing, et al.. (2017). MicroRNAs and RNA binding protein regulators of microRNAs in the control of pluripotency and reprogramming. Current Opinion in Genetics & Development. 46. 95–103. 30 indexed citations
14.
Zhang, Qiang, Ying Yan, Tingting Li, et al.. (2016). Pluripotency-associated miR-290/302 family of microRNAs promote the dismantling of naive pluripotency. Cell Research. 26(3). 350–366. 53 indexed citations
15.
Gu, Ying, Kangmo Lu, Guanghui Yang, et al.. (2014). Mutation Spectrum of Six Genes in Chinese Phenylketonuria Patients Obtained through Next-Generation Sequencing. PLoS ONE. 9(4). e94100–e94100. 22 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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