Zhongliang Jiang

4.1k total citations · 1 hit paper
87 papers, 2.9k citations indexed

About

Zhongliang Jiang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Zhongliang Jiang has authored 87 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 24 papers in Public Health, Environmental and Occupational Health and 17 papers in Reproductive Medicine. Recurrent topics in Zhongliang Jiang's work include Reproductive Biology and Fertility (24 papers), Sperm and Testicular Function (15 papers) and Epigenetics and DNA Methylation (12 papers). Zhongliang Jiang is often cited by papers focused on Reproductive Biology and Fertility (24 papers), Sperm and Testicular Function (15 papers) and Epigenetics and DNA Methylation (12 papers). Zhongliang Jiang collaborates with scholars based in China, United States and Canada. Zhongliang Jiang's co-authors include Jianyou Shi, Rongsheng Tong, Haiying Lu, Jun He, Cheng Peng, Qiaodan Zhou, Qingwang Li, Jianhong Hu, Christopher A. Price and Lan Bai and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Zhongliang Jiang

79 papers receiving 2.8k citations

Hit Papers

Recent advances in the development of protein–protein int... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongliang Jiang China 32 1.4k 577 525 279 263 87 2.9k
Jingling Jin United States 31 1.8k 1.3× 225 0.4× 287 0.5× 423 1.5× 302 1.1× 89 3.2k
Chuan Chen China 30 1.3k 0.9× 348 0.6× 195 0.4× 217 0.8× 141 0.5× 106 2.6k
Francesca De Amicis Italy 35 1.5k 1.1× 189 0.3× 238 0.5× 683 2.4× 665 2.5× 89 3.5k
Chinmoy Sankar Dey India 27 1.2k 0.9× 618 1.1× 125 0.2× 101 0.4× 94 0.4× 93 2.5k
Amit V. Pandey Switzerland 32 1.9k 1.3× 508 0.9× 218 0.4× 487 1.7× 929 3.5× 119 3.7k
Miroslav Šulc Czechia 29 1.2k 0.9× 94 0.2× 133 0.3× 177 0.6× 127 0.5× 109 2.2k
Yuko Fukami Japan 16 2.2k 1.6× 200 0.3× 112 0.2× 574 2.1× 724 2.8× 41 4.3k
Junko Ishida Japan 9 1.6k 1.1× 147 0.3× 66 0.1× 468 1.7× 691 2.6× 20 3.6k
Alfons Lawen Australia 30 2.6k 1.9× 129 0.2× 75 0.1× 390 1.4× 107 0.4× 81 4.3k
Hiromasa Tojo Japan 32 1.6k 1.2× 117 0.2× 115 0.2× 279 1.0× 343 1.3× 111 2.9k

Countries citing papers authored by Zhongliang Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongliang Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongliang Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongliang Jiang. A scholar is included among the top collaborators of Zhongliang Jiang 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 Zhongliang Jiang. Zhongliang Jiang 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.
Huang, Dianye, et al.. (2025). Robotic CBCT meets robotic ultrasound. International Journal of Computer Assisted Radiology and Surgery. 20(6). 1049–1057.
2.
Yao, Jingjing, et al.. (2024). ABO blood types and head and neck cancer: a systematic review with meta-analysis of observational studies. BMJ Open. 14(10). e088016–e088016.
3.
Wang, Yifan, et al.. (2024). ZnO NPs Impair the Viability and Function of Porcine Granulosa Cells Through Autophagy Regulated by ROS Production. Antioxidants. 13(11). 1295–1295. 4 indexed citations
4.
Zeng, Jing, et al.. (2024). A patent review of SCF E3 ligases inhibitors for cancer:Structural design, pharmacological activities and structure–activity relationship. European Journal of Medicinal Chemistry. 278. 116821–116821. 1 indexed citations
5.
Zhang, Zelin, Jianyong Cheng, Yang Li, et al.. (2023). The role of ferroptosis mediated by Bmal1/Nrf2 in nicotine -induce injury of BTB integrity. Free Radical Biology and Medicine. 200. 26–35. 33 indexed citations
6.
Wang, Shiyou, Christopher A. Price, Yifan Wang, et al.. (2023). 1α,25(OH)2D3 Promotes the Autophagy of Porcine Ovarian Granulosa Cells as a Protective Mechanism against ROS through the BNIP3/PINK1 Pathway. International Journal of Molecular Sciences. 24(5). 4364–4364. 2 indexed citations
7.
Zhao, Liyun, Qi Liang, Ye He, et al.. (2022). HDAC/JAK dual target inhibitors of cancer-related targets: The success of nonclearable linked pharmacophore mode. Bioorganic Chemistry. 129. 106181–106181. 9 indexed citations
8.
Wang, Ting, Yujue Wang, Li Liu, et al.. (2020). Research progress on sirtuins family members and cell senescence. European Journal of Medicinal Chemistry. 193. 112207–112207. 42 indexed citations
9.
Lu, Haiying, Qiaodan Zhou, Jun He, et al.. (2020). Recent advances in the development of protein–protein interactions modulators: mechanisms and clinical trials. Signal Transduction and Targeted Therapy. 5(1). 213–213. 537 indexed citations breakdown →
10.
Guo, Dandan, Zhongliang Jiang, Rongsheng Tong, et al.. (2019). Novel HER2-Targeting Antibody-Drug Conjugates of Trastuzumab Beyond T-DM1 in Breast Cancer: Trastuzumab Deruxtecan(DS-8201a) and (Vic-)Trastuzumab Duocarmazine (SYD985). European Journal of Medicinal Chemistry. 183. 111682–111682. 120 indexed citations
11.
Gao, Huimin, et al.. (2019). Hypoxia Limits the Growth of Bovine Follicles in Vitro by Inhibiting Estrogen Receptor α. Animals. 9(8). 551–551. 6 indexed citations
12.
Cheng, Jianyong, et al.. (2017). Effect of FH535 on in vitro maturation of porcine oocytes by inhibiting WNT signaling pathway. Animal Science Journal. 89(4). 631–639. 10 indexed citations
15.
Xie, Yufen, Sichang Zhou, Zhongliang Jiang, et al.. (2014). Hypoxic stress induces, but cannot sustain trophoblast stem cell differentiation to labyrinthine placenta due to mitochondrial insufficiency. Stem Cell Research. 13(3). 478–491. 39 indexed citations
16.
Jiang, Zhongliang, et al.. (2013). Divergence of intracellular signaling pathways and early response genes of two closely related fibroblast growth factors, FGF8 and FGF18, in bovine ovarian granulosa cells. Molecular and Cellular Endocrinology. 375(1-2). 97–105. 38 indexed citations
17.
Jiang, Zhongliang, et al.. (2009). Hypoxia induces transforming growth factor beta 1 (TGFβ1) in human macrophages through a hypoxia inducible factor 1α (HIF-1α) – dependent mechanism. Fertility and Sterility. 92(3). S124–S124. 1 indexed citations
18.
Han, Zengsheng, Zhiying Zhang, Yongsheng Yu, et al.. (2008). Adenoviral vector mediates high expression levels of human lactoferrin in the milk of rabbits.. PubMed. 18(1). 153–9. 22 indexed citations
19.
Huang, Jing, Rui Zhao, Wenye Li, et al.. (2007). Effect of sugars on maturation rate of vitrified-thawed immature porcine oocytes. Animal Reproduction Science. 106(1-2). 25–35. 28 indexed citations
20.
Shen, Kate, et al.. (2005). DNA methyltransferase-3a interacts with p53 and represses p53-mediated gene expression. Cancer Biology & Therapy. 4(10). 1138–1143. 65 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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