Linjun Hong

1.4k total citations
86 papers, 864 citations indexed

About

Linjun Hong is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Linjun Hong has authored 86 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 28 papers in Cancer Research and 26 papers in Immunology. Recurrent topics in Linjun Hong's work include Reproductive System and Pregnancy (24 papers), Cancer-related molecular mechanisms research (18 papers) and Reproductive Biology and Fertility (14 papers). Linjun Hong is often cited by papers focused on Reproductive System and Pregnancy (24 papers), Cancer-related molecular mechanisms research (18 papers) and Reproductive Biology and Fertility (14 papers). Linjun Hong collaborates with scholars based in China, United States and Canada. Linjun Hong's co-authors include Zhenfang Wu, Gengyuan Cai, Enqin Zheng, Ting Gu, Zicong Li, Jie Yang, Dewu Liu, Zhanwei Zhuang, Rongrong Ding and Qun Hu and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Scientific Reports.

In The Last Decade

Linjun Hong

81 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linjun Hong China 17 449 265 258 192 121 86 864
Mengcheng Luo China 18 721 1.6× 160 0.6× 140 0.5× 113 0.6× 34 0.3× 43 1.0k
Francois Paradis Canada 12 240 0.5× 338 1.3× 41 0.2× 87 0.5× 135 1.1× 20 727
Solomon Mamo Ireland 16 433 1.0× 323 1.2× 74 0.3× 298 1.6× 404 3.3× 23 1.1k
Gregory W. Burns United States 18 456 1.0× 377 1.4× 194 0.8× 711 3.7× 516 4.3× 35 1.3k
Serafina Massari Italy 19 292 0.7× 119 0.4× 38 0.1× 391 2.0× 46 0.4× 49 825
V. Maillo Spain 20 427 1.0× 290 1.1× 92 0.4× 380 2.0× 462 3.8× 36 1.2k
Kathy J. Austin United States 18 176 0.4× 185 0.7× 63 0.2× 711 3.7× 625 5.2× 22 986
Mazdak Salavati United Kingdom 16 133 0.3× 357 1.3× 113 0.4× 35 0.2× 229 1.9× 42 607
N. Mansouri-Attia United States 9 163 0.4× 268 1.0× 77 0.3× 541 2.8× 583 4.8× 14 868

Countries citing papers authored by Linjun Hong

Since Specialization
Citations

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

Fields of papers citing papers by Linjun Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linjun Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Linjun Hong. A scholar is included among the top collaborators of Linjun Hong 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 Linjun Hong. Linjun Hong 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.
Hong, Linjun, Shanshan Wang, Langqing Liu, et al.. (2025). Rewiring of 3D chromatin topology orchestrates transcriptional reprogramming in muscle fiber-type specification and transformation. Nature Communications. 16(1). 5833–5833. 3 indexed citations
2.
3.
Wang, Wenjing, Junsong Shi, Chen Zhou, et al.. (2024). Dynamic intrauterine crosstalk promotes porcine embryo implantation during early pregnancy. Science China Life Sciences. 67(8). 1676–1696. 5 indexed citations
4.
Hong, Linjun, Gengyuan Cai, Zhenfang Wu, et al.. (2024). <italic>RASGRP1</italic> targeted by H3K27me3 regulates myoblast proliferation and differentiation in mice and pigs. Acta Biochimica et Biophysica Sinica. 56(3). 452–461. 2 indexed citations
5.
Zhou, Chen, Yongzhong Wang, Jie Cheng, et al.. (2023). DIA-based quantitative proteomic analysis of porcine endometrium in the peri-implantation phase. Journal of Proteomics. 293. 105065–105065. 1 indexed citations
6.
Hong, Linjun, Qun Hu, Yanjuan He, et al.. (2023). Uterine luminal-derived extracellular vesicles: potential nanomaterials to improve embryo implantation. Journal of Nanobiotechnology. 21(1). 79–79. 9 indexed citations
7.
Liu, Xianhui, Jiawei Peng, Lin Wang, et al.. (2023). Genome-Wide mRNA and Long Non-Coding RNA Analysis of Porcine Trophoblast Cells Infected with Porcine Reproductive and Respiratory Syndrome Virus Associated with Reproductive Failure. International Journal of Molecular Sciences. 24(2). 919–919. 6 indexed citations
8.
Wang, Wenjing, et al.. (2023). Integrating Analysis to Identify Differential circRNAs Involved in Goat Endometrial Receptivity. International Journal of Molecular Sciences. 24(2). 1531–1531. 2 indexed citations
9.
Wu, Zhimin, et al.. (2023). RACK1 may participate in placental development at mid‐gestation via regulating trophoblast cell proliferation and migration in pigs. Molecular Reproduction and Development. 90(4). 248–259. 3 indexed citations
10.
Li, Yanan, Yuxing Zhang, Junsong Shi, et al.. (2022). Amphiregulin Supplementation During Pig Oocyte In Vitro Maturation Enhances Subsequent Development of Cloned Embryos by Promoting Cumulus Cell Proliferation. Cellular Reprogramming. 24(4). 175–185. 4 indexed citations
11.
Sun, Yan, et al.. (2022). C/EBP-β contributes to pig endometrial LE receptivity by targeting cell remodeling genes during implantation. Reproduction. 164(6). 269–281. 1 indexed citations
12.
Xu, Zheng, et al.. (2021). Analysis of Transcripts of Uncertain Coding Potential Using RNA Sequencing During the Preattachment Phase in Goat Endometrium. DNA and Cell Biology. 40(7). 998–1008. 4 indexed citations
13.
Ding, Rongrong, Yibin Qiu, Zhanwei Zhuang, et al.. (2021). Genome-wide association studies reveals polygenic genetic architecture of litter traits in Duroc pigs. Theriogenology. 173. 269–278. 16 indexed citations
14.
Zhang, Ning, Junsong Shi, Rong Zhou, et al.. (2021). Interleukin 17D Enhances the Developmental Competence of Cloned Pig Embryos by Inhibiting Apoptosis and Promoting Embryonic Genome Activation. Animals. 11(11). 3062–3062. 3 indexed citations
15.
Hong, Linjun, Yanjuan He, Chengquan Tan, Zhenfang Wu, & Mei Yu. (2020). HAI-1 regulates placental folds development by influencing trophoblast cell proliferation and invasion in pigs. Gene. 749. 144721–144721. 9 indexed citations
16.
Ding, Rongrong, Ming Yang, Jianping Quan, et al.. (2019). Single-Locus and Multi-Locus Genome-Wide Association Studies for Intramuscular Fat in Duroc Pigs. Frontiers in Genetics. 10. 619–619. 59 indexed citations
17.
Gu, Ting, Junsong Shi, Zicong Li, et al.. (2019). Comparison of Carcass Traits, Meat Quality, and Chemical Composition of Tissues from Progeny Derived from Cloned and Noncloned Pigs. Cellular Reprogramming. 21(6). 296–300. 2 indexed citations
18.
Hong, Linjun, Kun Han, Kejia Wu, et al.. (2017). E-cadherin and ZEB2 modulate trophoblast cell differentiation during placental development in pigs. Reproduction. 154(6). 765–775. 24 indexed citations
19.
20.
Hong, Linjun, Ji Huang, Minggang Lei, et al.. (2016). Difference in expression patterns of placental cholesterol transporters, ABCA1 and SR-BI, in Meishan and Yorkshire pigs with different placental efficiency. Scientific Reports. 6(1). 20503–20503. 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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