J. Liu

579 total citations
25 papers, 420 citations indexed

About

J. Liu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, J. Liu has authored 25 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Reproductive Medicine. Recurrent topics in J. Liu's work include Reproductive Biology and Fertility (6 papers), Ovarian function and disorders (4 papers) and Bacillus and Francisella bacterial research (3 papers). J. Liu is often cited by papers focused on Reproductive Biology and Fertility (6 papers), Ovarian function and disorders (4 papers) and Bacillus and Francisella bacterial research (3 papers). J. Liu collaborates with scholars based in China, United States and Taiwan. J. Liu's co-authors include Zuomin Zhou, Yugui Cui, Jiahao Sha, J. J. Kavanagh, Robert L. Coleman, Na Niu, Anil K. Sood, Jian Kuang, Imelda Mercado‐Uribe and Ning Zhang and has published in prestigious journals such as Nature Communications, Journal of Ethnopharmacology and Fertility and Sterility.

In The Last Decade

J. Liu

23 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Liu China 10 149 104 78 67 60 25 420
Masaomi Takayama Japan 13 128 0.9× 109 1.0× 48 0.6× 65 1.0× 51 0.8× 32 484
Stefanie Wittmann Germany 10 315 2.1× 53 0.5× 70 0.9× 36 0.5× 14 0.2× 12 503
Nancy Freitag Germany 18 163 1.1× 300 2.9× 90 1.2× 33 0.5× 10 0.2× 32 808
Blendi Ura Italy 13 174 1.2× 159 1.5× 19 0.2× 31 0.5× 16 0.3× 34 408
M. A. Nikolaeva Russia 11 114 0.8× 48 0.5× 19 0.2× 27 0.4× 21 0.3× 38 430
Hasida Orenstein Israel 13 97 0.7× 149 1.4× 78 1.0× 36 0.5× 9 0.1× 22 474
Safia A. Messaoudi Saudi Arabia 12 109 0.7× 46 0.4× 22 0.3× 19 0.3× 20 0.3× 27 281
Alexander Rialdi United States 9 508 3.4× 86 0.8× 97 1.2× 60 0.9× 16 0.3× 11 668
Peigen Chen China 10 138 0.9× 79 0.8× 13 0.2× 37 0.6× 10 0.2× 34 417
Songchang Chen China 12 135 0.9× 16 0.2× 135 1.7× 34 0.5× 11 0.2× 51 356

Countries citing papers authored by J. Liu

Since Specialization
Citations

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

Fields of papers citing papers by J. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of J. Liu. A scholar is included among the top collaborators of J. Liu 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 J. Liu. J. Liu 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.
Zhang, Li, Yong Chen, Jiumeng Min, et al.. (2025). Genotype switching in hepatitis B virus as a potential risk for vertical transmission from mother-to-child was first reported. 3. 100040–100040. 1 indexed citations
2.
Li, Dongdong, Zixuan Li, Yangfan Zhou, et al.. (2025). Ganoderma lucidum spore oil alleviates psychological stress-evoked tumor progression by enhancing FcγR-mediated macrophage phagocytosis. Chinese Medicine. 20(1). 111–111. 1 indexed citations
3.
4.
Jia, Dan, Qiaoyan Guo, Bo Liu, et al.. (2025). From TCM “Shen-nourishing” and “Yang-strengthening” theory to blood-testis barrier reorganization, GuiLuBuShen attenuates age-related male reproductive dysfunction. Journal of Ethnopharmacology. 349. 119899–119899. 1 indexed citations
5.
Liu, J., Rongrong Zou, Yuchen Gu, et al.. (2024). The dynamic molecular characteristics of neutrophils are associated with disease progression in dengue patients. Journal of Medical Virology. 96(6). e29729–e29729. 1 indexed citations
6.
Gong, Xiaohua, Ling Peng, Fuxiang Wang, et al.. (2024). Repeated Omicron infection dampens immune imprinting from previous vaccination and induces broad neutralizing antibodies against Omicron sub-variants. Journal of Infection. 89(2). 106208–106208. 3 indexed citations
7.
Tang, Yuxuan, J. Liu, Yabin Hao, et al.. (2024). Automated robot and artificial intelligence-powered wastewater surveillance for proactive mpox outbreak prediction. Biosafety and Health. 6(4). 225–234. 10 indexed citations
8.
Yao, Jin, et al.. (2024). Targeting tRNA‐Derived Non‐Coding RNA Alleviates Diabetes‐Induced Visual Impairment through Protecting Retinal Neurovascular Unit. Advanced Science. 12(1). e2411042–e2411042. 1 indexed citations
9.
Zhang, Shengjie, Yun Peng, Xiaohua Gong, et al.. (2024). Evolutionary trajectory and characteristics of Mpox virus in 2023 based on a large-scale genomic surveillance in Shenzhen, China. Nature Communications. 15(1). 7452–7452. 19 indexed citations
10.
Yang, Yang, Chenguang Shen, Liuqing Yang, et al.. (2024). Longitudinal viral shedding and antibody response characteristics of men with acute infection of monkeypox virus: a prospective cohort study. Nature Communications. 15(1). 4488–4488. 18 indexed citations
11.
Zhu, Qun, Wei Xu, Lingling Gao, et al.. (2018). The SET protein promotes androgen production in testicular Leydig cells. Andrology. 6(3). 478–487. 6 indexed citations
12.
Ma, Ling, et al.. (2018). CoQ10 decreases aneuploidy rate and increases mitochondrial mass during in vitro maturation of human immature oocytes. Fertility and Sterility. 110(4). e312–e312. 2 indexed citations
13.
Cai, Lingbo, et al.. (2015). Ejaculated sperm may not result in the best clinical outcome for ICSI treatment cycles. Fertility and Sterility. 104(3). e244–e244. 1 indexed citations
14.
Meng, Hao, et al.. (2015). The correlation between embryo development during culture in vitro and clinical outcomes following vitrification-warming on day-3 embryos. Fertility and Sterility. 104(3). e196–e196. 1 indexed citations
15.
Yang, Guang, Chao Cheng, Chong Shen, et al.. (2014). Plasma FGF23 levels and heart rate variability in patients with stage 5 CKD. Osteoporosis International. 26(1). 395–405. 19 indexed citations
16.
Li, Shao, et al.. (2014). Ultrastructure of placenta of gravidas with gestional diabetes mellitus. Fertility and Sterility. 102(3). e251–e251. 9 indexed citations
17.
Liu, Luwei, Ruoyun Tan, J. Liu, Yugui Cui, & Jiangping Wu. (2012). Mutational analysis of theFSTgene in Chinese women with idiopathic premature ovarian failure. Climacteric. 16(4). 469–472. 3 indexed citations
18.
Zhao, Wene, Yan Jiang, Jiarui Wang, et al.. (2011). Ultrastructural Study on Human Placentae from Women Subjected to Assisted Reproductive Technology Treatments. Biology of Reproduction. 85(3). 635–642. 28 indexed citations
19.
Cui, Yugui, et al.. (2010). Altered global gene expressions of human placentae subjected to assisted reproductive technology treatments. Placenta. 31(4). 251–258. 64 indexed citations
20.
Kleijnen, J.P.C., et al.. (2006). White noise assumptions revisited:Regression metamodels and experimental designs for simulation practice. Research portal (Tilburg University). 2 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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