Jun Liao

1.3k total citations · 1 hit paper
37 papers, 893 citations indexed

About

Jun Liao is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cancer Research. According to data from OpenAlex, Jun Liao has authored 37 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Electrical and Electronic Engineering and 5 papers in Cancer Research. Recurrent topics in Jun Liao's work include Renal Transplantation Outcomes and Treatments (4 papers), MicroRNA in disease regulation (3 papers) and Railway Systems and Energy Efficiency (2 papers). Jun Liao is often cited by papers focused on Renal Transplantation Outcomes and Treatments (4 papers), MicroRNA in disease regulation (3 papers) and Railway Systems and Energy Efficiency (2 papers). Jun Liao collaborates with scholars based in China, United States and Australia. Jun Liao's co-authors include Jing Shang, Ziwei Song, Yuanyuan Cai, Xingzhen Lao, Xue Wang, Praveen Kumar Kalavagunta, Jing Li, Liang Jin, Shaopeng Qiu and Jiali Wang and has published in prestigious journals such as Frontiers in Immunology, Journal of Environmental Management and Chemical Engineering Science.

In The Last Decade

Jun Liao

32 papers receiving 879 citations

Hit Papers

Taxonomic profiling and populational patterns of bacteria... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Liao China 12 497 203 143 130 112 37 893
Jie Deng China 19 241 0.5× 428 2.1× 172 1.2× 123 0.9× 185 1.7× 88 1.1k
Pei Li China 20 405 0.8× 117 0.6× 175 1.2× 178 1.4× 172 1.5× 89 1.1k
Kun Pang China 17 565 1.1× 88 0.4× 213 1.5× 196 1.5× 55 0.5× 57 1.1k
Shichao Li China 20 613 1.2× 214 1.1× 221 1.5× 306 2.4× 178 1.6× 82 1.5k
Zhengliang Chen China 22 420 0.8× 107 0.5× 171 1.2× 155 1.2× 179 1.6× 75 1.2k
Slim Charfi Tunisia 16 243 0.5× 307 1.5× 287 2.0× 113 0.9× 153 1.4× 144 1.1k
Kemal Denız Türkiye 17 226 0.5× 287 1.4× 302 2.1× 119 0.9× 281 2.5× 122 1.5k
Toshihiro Yamamoto Japan 12 302 0.6× 180 0.9× 139 1.0× 43 0.3× 67 0.6× 29 1.0k
Sung‐Goo Chang South Korea 18 397 0.8× 359 1.8× 147 1.0× 145 1.1× 79 0.7× 87 1.2k
Julia Hentschel Germany 18 482 1.0× 151 0.7× 153 1.1× 118 0.9× 322 2.9× 64 1.8k

Countries citing papers authored by Jun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Liao. A scholar is included among the top collaborators of Jun Liao 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 Jun Liao. Jun Liao 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.
Liao, Jun, Tristan Hardy, Brynn Levy, et al.. (2025). Advances in Prenatal Cell‐Free DNA Screening for Dominant Monogenic Conditions: A Review of Current Progress and Future Directions in Clinical Implementation. Prenatal Diagnosis. 45(4). 445–452. 2 indexed citations
2.
Li, Shanshan, Cong Li, Jun Liao, et al.. (2025). Characterization and genomic insights into the nitrogen metabolism of heterotrophic nitrifying and aerobic denitrifying bacterium Pseudomonas aeruginosa WS-03. Journal of Environmental Management. 376. 124405–124405. 5 indexed citations
3.
Chang, Jing, et al.. (2025). Disulfidptosis: a new target for central nervous system disease therapy. Frontiers in Neuroscience. 19. 1514253–1514253.
5.
Xu, Jingmin, et al.. (2024). Experimental Study and Application of Controlled Low-Strength Materials in Trench Backfilling in Suqian City, China. Materials. 17(4). 775–775. 6 indexed citations
6.
Chao, Honglu, Jun Liao, Yangfan Ye, et al.. (2024). Decoding frontotemporal and cell-type-specific vulnerabilities to neuropsychiatric disorders and psychoactive drugs. Open Biology. 14(6). 240063–240063. 3 indexed citations
7.
Zhao, Hui, et al.. (2024). Numerical simulation of low-viscosity fluid proppant transport based on the high-order WENO method. Geoenergy Science and Engineering. 241. 213156–213156. 4 indexed citations
8.
Cao, Lin, et al.. (2023). A new simulation method for nanoparticles solution flooding based on connection element method. Chemical Engineering Science. 282. 119308–119308.
9.
Wu, Jingyu, et al.. (2023). Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2830–2838. 3 indexed citations
10.
Hu, Jianmin, Song Zhou, Jie Zhang, et al.. (2023). The role of regulatory T cells in the pathogenesis of acute kidney injury. Journal of Cellular and Molecular Medicine. 27(20). 3202–3212. 8 indexed citations
12.
Wu, Liang, Yuxuan Wang, Xiaoyan Wang, et al.. (2021). Evaluation of Colocasia esculenta Schott in anti-cancerous properties with proximity extension assays. Food & Nutrition Research. 65.
13.
Liao, Jun, et al.. (2021). Osteopontin‐induced lncRNA HOTAIR expression is involved in osteoarthritis by regulating cell proliferation. BMC Geriatrics. 21(1). 57–57. 12 indexed citations
14.
Liu, Yongguang, Song Zhou, Jianmin Hu, et al.. (2021). Single-Cell Profiling of Kidney Transplant Recipients With Immunosuppressive Treatment Reveals the Dynamic Immune Characteristics. Frontiers in Immunology. 12. 639942–639942. 12 indexed citations
15.
Zhou, Song, Yongguang Liu, Ding Liu, et al.. (2020). Bone marrow derived mesenchymal stem cells pretreated with erythropoietin accelerate the repair of acute kidney injury. Cell & Bioscience. 10(1). 130–130. 19 indexed citations
16.
Hu, Jianmin, Ding Liu, Song Zhou, et al.. (2020). Single-cell analysis reveals immune landscape in kidneys of patients with chronic transplant rejection. Theranostics. 10(19). 8851–8862. 60 indexed citations
17.
Liao, Jun, Qian Fu, Wenfang Chen, et al.. (2020). Plasma Soluble CD146 as a Potential Diagnostic Marker of Acute Rejection in Kidney Transplantation. Frontiers in Medicine. 7. 531999–531999. 5 indexed citations
18.
Liu, Wei, et al.. (2019). Calculation of AC-DC Hybrid Power Flow in Urban Rail Traction Power Supply System with Regenerated Energy Feedback Device. 41(11). 65–71. 1 indexed citations
19.
Chen, Xu, Jun Liao, Lingwu Chen, et al.. (2014). En bloc transurethral resection with 2-micron continuous-wave laser for primary non-muscle-invasive bladder cancer: a randomized controlled trial. World Journal of Urology. 33(7). 989–995. 75 indexed citations
20.
Zhao, Hongliang, et al.. (2013). A LOW POWER CRYOGENIC CMOS ROIC DESIGN FOR 512 × 512 IRFPA. Journal of Circuits Systems and Computers. 22(10). 1340033–1340033. 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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