Yingting He

457 total citations
21 papers, 256 citations indexed

About

Yingting He is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cancer Research. According to data from OpenAlex, Yingting He has authored 21 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 8 papers in Cancer Research. Recurrent topics in Yingting He's work include Reproductive Biology and Fertility (9 papers), Epigenetics and DNA Methylation (8 papers) and Cancer-related molecular mechanisms research (6 papers). Yingting He is often cited by papers focused on Reproductive Biology and Fertility (9 papers), Epigenetics and DNA Methylation (8 papers) and Cancer-related molecular mechanisms research (6 papers). Yingting He collaborates with scholars based in China, Australia and United States. Yingting He's co-authors include Xiaolong Yuan, Zhe Zhang, Xiangchun Pan, Jiaqi Li, Hao Zhang, Xiaofeng Zhou, Penghao Wang, Shaopan Ye, Bin Ma and Zanmou Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Cell Death and Differentiation.

In The Last Decade

Yingting He

20 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingting He China 11 116 107 86 65 27 21 256
Xiangchun Pan China 9 117 1.0× 64 0.6× 66 0.8× 51 0.8× 18 0.7× 20 206
Jianning He China 12 137 1.2× 153 1.4× 157 1.8× 44 0.7× 54 2.0× 33 351
Kaifeng Guan China 11 162 1.4× 70 0.7× 106 1.2× 51 0.8× 13 0.5× 21 310
Vijay Simha Baddela Germany 10 146 1.3× 69 0.6× 91 1.1× 95 1.5× 95 3.5× 19 342
Benjamin J. Hale United States 11 118 1.0× 57 0.5× 69 0.8× 64 1.0× 20 0.7× 20 290
Eryao Wang China 10 158 1.4× 198 1.9× 68 0.8× 58 0.9× 34 1.3× 39 297
Anna E. Zielak-Steciwko Poland 10 69 0.6× 131 1.2× 41 0.5× 149 2.3× 161 6.0× 23 307
Joshua B. Elmore United States 8 54 0.5× 81 0.8× 22 0.3× 20 0.3× 59 2.2× 9 171
Xinbao Zheng China 6 212 1.8× 130 1.2× 42 0.5× 141 2.2× 32 1.2× 12 315
Xu Feng China 7 134 1.2× 127 1.2× 176 2.0× 21 0.3× 45 1.7× 7 248

Countries citing papers authored by Yingting He

Since Specialization
Citations

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

Fields of papers citing papers by Yingting He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingting He

This figure shows the co-authorship network connecting the top 25 collaborators of Yingting He. A scholar is included among the top collaborators of Yingting He 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 Yingting He. Yingting He 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.
Fang, Ming, Yingting He, Xiaofeng Zhou, et al.. (2025). DNA Methylation Mediates the Transcription of STAT4 to Regulate KISS1 During Follicular Development. Cells. 14(7). 523–523.
2.
Guo, Yixuan, Shuo Li, Yingting He, et al.. (2024). Phospholipid Phosphatase 3 (PLPP3) Induces Oxidative Stress to Accelerate Ovarian Aging in Pigs. Cells. 13(17). 1421–1421. 3 indexed citations
3.
Zhou, Xiaofeng, et al.. (2024). Exposure to nicotine regulates prostaglandin E2 secretion and autophagy of granulosa cells to retard follicular maturation in mammals. Ecotoxicology and Environmental Safety. 277. 116358–116358. 2 indexed citations
4.
Yang, Jinghao, Xiaofeng Zhou, Yingting He, et al.. (2024). MiR‐106a targets ATG7 to inhibit autophagy and angiogenesis after myocardial infarction. SHILAP Revista de lepidopterología. 7(4). 408–418. 3 indexed citations
5.
Li, Shuo, Fen Miao, Nian Li, et al.. (2024). Knockdown of DNMT1 Induces SLCO3A1 to Promote Follicular Growth by Enhancing the Proliferation of Granulosa Cells in Mammals. International Journal of Molecular Sciences. 25(5). 2468–2468. 1 indexed citations
6.
7.
He, Yingting, et al.. (2023). Advances in Oocyte Maturation In Vivo and In Vitro in Mammals. International Journal of Molecular Sciences. 24(10). 9059–9059. 42 indexed citations
8.
Zhou, Xiaofeng, Yingting He, Xiangchun Pan, et al.. (2022). DNMT1-mediated lncRNA IFFD controls the follicular development via targeting GLI1 by sponging miR-370. Cell Death and Differentiation. 30(2). 576–588. 20 indexed citations
9.
Zhou, Xiaofeng, Yingting He, Nian Li, et al.. (2021). DNA methylation mediated RSPO2 to promote follicular development in mammals. Cell Death and Disease. 12(7). 653–653. 24 indexed citations
10.
Pan, Xiangchun, Wentao Gong, Yingting He, et al.. (2021). Ovary-derived circular RNAs profile analysis during the onset of puberty in gilts. BMC Genomics. 22(1). 445–445. 13 indexed citations
11.
He, Yingting, Xiaofeng Zhou, Rongrong Zheng, et al.. (2021). The Association of an SNP in the EXOC4 Gene and Reproductive Traits Suggests Its Use as a Breeding Marker in Pigs. Animals. 11(2). 521–521. 8 indexed citations
12.
Li, Liying, Zitao Chen, Shuqi Diao, et al.. (2020). MIR143 Inhibits Steroidogenesis and Induces Apoptosis Repressed by H3K27me3 in Granulosa Cells. Frontiers in Cell and Developmental Biology. 8. 565261–565261. 10 indexed citations
13.
Zhang, Zhe, Zitao Chen, Shaopan Ye, et al.. (2019). Genome-Wide Association Study for Reproductive Traits in a Duroc Pig Population. Animals. 9(10). 732–732. 38 indexed citations
14.
Yuan, Xiaolong, Xiaofeng Zhou, Zitao Chen, et al.. (2019). Genome-Wide DNA Methylation Analysis of Hypothalamus During the Onset of Puberty in Gilts. Frontiers in Genetics. 10. 228–228. 11 indexed citations
15.
Zhou, Xiaofeng, Yingting He, Xi Deng, et al.. (2019). MiR-126-3p inhibits apoptosis and promotes proliferation by targeting phosphatidylinositol 3-kinase regulatory subunit 2 in porcine ovarian granulosa cells. Asian-Australasian Journal of Animal Sciences. 33(6). 879–887. 10 indexed citations
16.
Yuan, Xiaolong, Zhonghui Li, Yingting He, et al.. (2019). P65 Targets FGFR1 to Regulate the Survival of Ovarian Granulosa Cells. Cells. 8(11). 1334–1334. 13 indexed citations
17.
Huang, Shuwen, Yingting He, Shaopan Ye, et al.. (2018). Genome-wide association study on chicken carcass traits using sequence data imputed from SNP array. Journal of Applied Genetics. 59(3). 335–344. 12 indexed citations
18.
Wang, Jiaying, Xiaolong Yuan, Shaopan Ye, et al.. (2018). Genome wide association study on feed conversion ratio using imputed sequence data in chickens. Asian-Australasian Journal of Animal Sciences. 32(4). 494–500. 5 indexed citations
19.
Diao, Shuqi, Yunlong Ma, Xi Deng, et al.. (2018). Genome-wide detection of selective signatures in a Duroc pig population. Journal of Integrative Agriculture. 17(11). 2528–2535. 16 indexed citations
20.
Yuan, Xiaolong, Xiaofeng Zhou, Yingting He, et al.. (2018). C/EBPβ Promotes STAT3 Expression and Affects Cell Apoptosis and Proliferation in Porcine Ovarian Granulosa Cells. Genes. 9(6). 295–295. 12 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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