Kunju Zhu

2.8k total citations
42 papers, 749 citations indexed

About

Kunju Zhu is a scholar working on Immunology, Dermatology and Molecular Biology. According to data from OpenAlex, Kunju Zhu has authored 42 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 15 papers in Dermatology and 11 papers in Molecular Biology. Recurrent topics in Kunju Zhu's work include Psoriasis: Treatment and Pathogenesis (19 papers), Dermatology and Skin Diseases (14 papers) and Asthma and respiratory diseases (9 papers). Kunju Zhu is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (19 papers), Dermatology and Skin Diseases (14 papers) and Asthma and respiratory diseases (9 papers). Kunju Zhu collaborates with scholars based in China, United States and Canada. Kunju Zhu's co-authors include Yi‐Ming Fan, Ge Shi, Songjian Lu, Xiao-Nan Fan, Ming Li, C. Zhang, Sen Yang, Fengyu Zhang, Lifan Liang and Dongmei Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Kunju Zhu

42 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunju Zhu China 18 434 180 160 130 111 42 749
Anupam Mitra United States 16 426 1.0× 170 0.9× 214 1.3× 175 1.3× 48 0.4× 32 906
Kazuki Hirahara Japan 19 431 1.0× 252 1.4× 182 1.1× 171 1.3× 150 1.4× 30 1.1k
Jun‐Geol Ryu South Korea 16 398 0.9× 43 0.2× 316 2.0× 170 1.3× 63 0.6× 23 833
Akane Minagawa Japan 10 288 0.7× 306 1.7× 106 0.7× 42 0.3× 61 0.5× 30 606
Hye‐Lin Ha United States 14 239 0.6× 28 0.2× 249 1.6× 85 0.7× 69 0.6× 16 698
Kejian Zhu China 10 307 0.7× 72 0.4× 146 0.9× 38 0.3× 33 0.3× 32 570
Homayon Banie United States 14 651 1.5× 26 0.1× 283 1.8× 44 0.3× 290 2.6× 17 1.1k
Taiga Tamiya Japan 10 515 1.2× 39 0.2× 249 1.6× 46 0.4× 69 0.6× 14 892
Gaetana Costanza Italy 15 126 0.3× 116 0.6× 219 1.4× 17 0.1× 28 0.3× 36 552
J.R. Marsden United Kingdom 20 382 0.9× 227 1.3× 451 2.8× 54 0.4× 27 0.2× 44 1.2k

Countries citing papers authored by Kunju Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Kunju Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunju Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Kunju Zhu. A scholar is included among the top collaborators of Kunju Zhu 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 Kunju Zhu. Kunju Zhu 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.
Li, Yingge, Yanhui Hu, Mengyang Wang, et al.. (2025). Intratumor HIF-1α modulates production of a cachectic ligand to cause host wasting. PubMed. 4(3). 100247–100247. 2 indexed citations
2.
Liang, Lifan, Kunju Zhu, Junyan Tao, & Songjian Lu. (2021). ORN: Inferring patient-specific dysregulation status of pathway modules in cancer with OR-gate Network. PLoS Computational Biology. 17(4). e1008792–e1008792. 1 indexed citations
3.
Liang, Lifan, Kunju Zhu, & Songjian Lu. (2020). BEM: Mining Coregulation Patterns in Transcriptomics via Boolean Matrix Factorization. Bioinformatics. 36(13). 4030–4037. 10 indexed citations
4.
Zhang, Siping, et al.. (2020). Successful treatment of a patient with cutaneous co-infection caused by Mucor irregularis and Klebsiella pneumoniae. Anais Brasileiros de Dermatologia. 95(5). 623–626. 4 indexed citations
5.
Fan, Xiao-Nan, Shao‐Wu Zhang, Song-Yao Zhang, Kunju Zhu, & Songjian Lu. (2019). Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information. BMC Bioinformatics. 20(1). 87–87. 45 indexed citations
6.
Li, Shuixiu, et al.. (2018). Tetrandrine enhances the antifungal activity of fluconazole in a murine model of disseminated candidiasis. Phytomedicine. 46. 21–31. 14 indexed citations
7.
Li, Shuixiu, Yanjun Song, Yajing Zhao, et al.. (2017). Synergistic Effects of Tetrandrine with Posaconazole Against Aspergillus fumigatus. Microbial Drug Resistance. 23(6). 674–681. 12 indexed citations
8.
9.
Zhu, Kunju, Cheng Quan, Chi Zhang, et al.. (2014). Combined effect between CHRNB3–CHRNA6 region gene variant (rs6474412) and smoking in psoriasis vulgaris severity. Gene. 544(2). 123–127. 7 indexed citations
10.
Quan, Cheng, Kunju Zhu, Chi Zhang, et al.. (2014). Combined effects of the BDNF rs6265 (Val66Met) polymorphism and environment risk factors on psoriasis vulgaris. Molecular Biology Reports. 41(10). 7015–7022. 9 indexed citations
11.
Chu, Huimin, et al.. (2014). Association between hypoxia-inducible factor-1a levels in serum and synovial fluid with the radiographic severity of knee osteoarthritis. Genetics and Molecular Research. 13(4). 10529–10536. 13 indexed citations
12.
Zhu, Kunju, et al.. (2013). Leptin levels in patients with psoriasis: a meta-analysis. Clinical and Experimental Dermatology. 38(5). 478–483. 55 indexed citations
13.
Zhu, Kunju, et al.. (2012). Association of IL23R polymorphisms with psoriasis and psoriatic arthritis: a meta-analysis. Inflammation Research. 61(10). 1149–1154. 36 indexed citations
14.
Zhu, Kunju, et al.. (2012). Alcohol consumption and psoriatic risk: A meta‐analysis of case–control studies. The Journal of Dermatology. 39(9). 770–773. 27 indexed citations
15.
Ren, Yunqing, Kunju Zhu, Hui Cheng, et al.. (2011). Comparisons of clinical features of HLA‐DRB1*07 positive and negative vitiligo patients in Chinese Han population. Journal of the European Academy of Dermatology and Venereology. 25(11). 1299–1303. 16 indexed citations
16.
Zhu, Kunju, Yong Cui, Yi‐Lang Chen, et al.. (2010). The effect of overweight and obesity on psoriasis patients in Chinese Han population: a hospital-based study. Journal of the European Academy of Dermatology and Venereology. 25(1). 87–91. 34 indexed citations
17.
Zhu, Kunju, Qiang Xu, Xuejun Zhang, et al.. (2010). The association of the BLK gene with SLE was replicated in Chinese Han. Archives of Dermatological Research. 302(8). 619–624. 21 indexed citations
18.
Zheng, Hou‐Feng, Xianbo Zuo, Wensheng Lu, et al.. (2010). Variants in MHC, LCE and IL12B have epistatic effects on psoriasis risk in Chinese population. Journal of Dermatological Science. 61(2). 124–128. 31 indexed citations
19.
Zhang, Zheng, Y. Cheng, Xueya Zhou, et al.. (2010). Polymorphisms at 16p13 are associated with systemic lupus erythematosus in the Chinese population: Table 1. Journal of Medical Genetics. 48(1). 69–72. 13 indexed citations
20.
Zhu, Kunju, et al.. (2008). Expression of Foxp3+CD4+CD25+ regulatory T cells and Th1/Th2, Tc1/Tc2 profiles in the peripheral blood of patients with condyloma acuminatum. Clinical and Experimental Dermatology. 34(2). 229–235. 21 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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