Xiao‐Jun Tian

2.8k total citations
62 papers, 1.8k citations indexed

About

Xiao‐Jun Tian is a scholar working on Molecular Biology, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Xiao‐Jun Tian has authored 62 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 9 papers in Epidemiology and 6 papers in Biomedical Engineering. Recurrent topics in Xiao‐Jun Tian's work include Gene Regulatory Network Analysis (20 papers), CRISPR and Genetic Engineering (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Xiao‐Jun Tian is often cited by papers focused on Gene Regulatory Network Analysis (20 papers), CRISPR and Genetic Engineering (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Xiao‐Jun Tian collaborates with scholars based in United States, China and Taiwan. Xiao‐Jun Tian's co-authors include Jianhua Xing, Jingyu Zhang, Hang Zhang, Fan Bai, Subbiah Elankumaran, Yue Teng, Ruoyan Li, Haiyan Fu, Dong Zhou and Xiao Peng Zhang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Xiao‐Jun Tian

58 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiao‐Jun Tian United States	18	1.1k	466	299	188	169	62	1.8k
Huizhe Huang China	24	1.4k 1.4×	371 0.8×	397 1.3×	251 1.3×	230 1.4×	50	2.5k
Lydie Meheus Belgium	24	1.2k 1.1×	248 0.5×	154 0.5×	208 1.1×	60 0.4×	50	2.3k
Kuang‐Yu Jen United States	27	1.4k 1.4×	617 1.3×	479 1.6×	239 1.3×	123 0.7×	79	2.9k
Philipp Pagel Germany	26	1.7k 1.6×	264 0.6×	244 0.8×	101 0.5×	156 0.9×	53	2.3k
Hong Shi China	24	934 0.9×	382 0.8×	176 0.6×	155 0.8×	66 0.4×	73	2.1k
Chi Hang Wong Hong Kong	25	876 0.8×	433 0.9×	209 0.7×	119 0.6×	98 0.6×	62	1.7k
Slimane Ben Miled Tunisia	8	1.7k 1.6×	301 0.6×	501 1.7×	153 0.8×	130 0.8×	40	2.7k
Sophia Doll Germany	21	1.2k 1.2×	289 0.6×	172 0.6×	222 1.2×	183 1.1×	36	2.2k
Stephanie D. Byrum United States	27	1.9k 1.8×	311 0.7×	245 0.8×	140 0.7×	93 0.6×	116	2.6k
Thomas Kalinski Germany	30	1.0k 0.9×	544 1.2×	381 1.3×	193 1.0×	166 1.0×	113	2.6k

Countries citing papers authored by Xiao‐Jun Tian

Since Specialization

Citations

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

Fields of papers citing papers by Xiao‐Jun Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Jun Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Jun Tian. A scholar is included among the top collaborators of Xiao‐Jun Tian 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 Xiao‐Jun Tian. Xiao‐Jun Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Rixin, et al.. (2025). Phase separation to buffer growth-mediated dilution in synthetic circuits. Cell. 188(26). 7413–7427.e15.

Zhang, Rong, et al.. (2024). Noise Reduction in Resource-Coupled Multi-Module Gene Circuits through Antithetic Feedback Control. PubMed. 2024. 5566–5571. 2 indexed citations

Yu, Yanbao, Wenjia Wang, Yuanyuan Wang, et al.. (2024). Proteome characterization of liver–kidney comorbidity after microbial sepsis. The FASEB Journal. 38(7). e23597–e23597. 1 indexed citations

Tian, Xiao‐Jun, et al.. (2024). Enhancing circuit stability under growth feedback with supplementary repressive regulation. Nucleic Acids Research. 52(3). 1512–1521. 3 indexed citations

Zhang, Rong, et al.. (2024). Context-dependent redesign of robust synthetic gene circuits. Trends in biotechnology. 42(7). 895–909. 23 indexed citations

Ren, Hao, et al.. (2022). The Biological Memory Effect in Microbial Fuel Cell Biosensors. IEEE Sensors Journal. 22(18). 17698–17705. 2 indexed citations

Zhang, Rong, et al.. (2021). Winner-takes-all resource competition redirects cascading cell fate transitions. Nature Communications. 12(1). 50 indexed citations

Fu, Haiyan, Yuan Gui, Silvia Liu, et al.. (2021). The hepatocyte growth factor/c-met pathway is a key determinant of the fibrotic kidney local microenvironment. iScience. 24(10). 103112–103112. 6 indexed citations

Wang, Weikang, et al.. (2020). Rapid, modular, and cost-effective generation of donor DNA constructs for CRISPR-based gene knock-in. Biology Methods and Protocols. 5(1). bpaa006–bpaa006. 1 indexed citations

10.

Tian, Xiao‐Jun, Dong Zhou, Haiyan Fu, et al.. (2020). Sequential Wnt Agonist Then Antagonist Treatment Accelerates Tissue Repair and Minimizes Fibrosis. iScience. 23(5). 101047–101047. 13 indexed citations

11.

Chen, Luonan, et al.. (2020). A plausible accelerating function of intermediate states in cancer metastasis. PLoS Computational Biology. 16(3). e1007682–e1007682. 31 indexed citations

12.

Tian, Xiao‐Jun, Vera S. Donnenberg, Alan M. Watson, et al.. (2019). Targeting the Temporal Dynamics of Hypoxia-Induced Tumor-Secreted Factors Halts Tumor Migration. Cancer Research. 79(11). 2962–2977. 14 indexed citations

13.

Tian, Xiao‐Jun, et al.. (2019). Modeling ncRNA-Mediated Circuits in Cell Fate Decision. Methods in molecular biology. 1912. 411–426. 8 indexed citations

14.

Fu, Haiyan, Silvia Liu, Sheldon Bastacky, et al.. (2019). Diabetic kidney diseases revisited: A new perspective for a new era. Molecular Metabolism. 30. 250–263. 157 indexed citations

15.

Zhou, Dong, Haiyan Fu, Liangxiang Xiao, et al.. (2018). Fibroblast-Specific β-Catenin Signaling Dictates the Outcome of AKI. Journal of the American Society of Nephrology. 29(4). 1257–1271. 54 indexed citations

16.

Zhang, Jingyu, et al.. (2018). Pathway crosstalk enables cells to interpret TGF-β duration. npj Systems Biology and Applications. 4(1). 18–18. 19 indexed citations

17.

Zhang, Hang, et al.. (2014). Statistical Mechanics Model for the Dynamics of Collective Epigenetic Histone Modification. Physical Review Letters. 112(6). 68101–68101. 32 indexed citations

18.

Wang, Ping, et al.. (2014). Epigenetic state network approach for describing cell phenotypic transitions. Interface Focus. 4(3). 20130068–20130068. 41 indexed citations

19.

Tian, Xiao‐Jun, Xiao Peng Zhang, Feng Liu, & Wei Wang. (2009). Interlinking positive and negative feedback loops creates a tunable motif in gene regulatory networks. Physical Review E. 80(1). 11926–11926. 95 indexed citations

20.

Zhang, Zhaobin, Jianying Hu, Sixiang Sai, et al.. (2008). [Gene cloning, sequence analysis and tissue expression of estrogen-related receptor alpha (Erralpha) in Japanese medaka and its transcriptional responses after differential EDCs exposure].. PubMed. 29(11). 3153–8. 6 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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