Weijiao Gao

404 total citations
11 papers, 291 citations indexed

About

Weijiao Gao is a scholar working on Epidemiology, Microbiology and Molecular Biology. According to data from OpenAlex, Weijiao Gao has authored 11 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Microbiology and 3 papers in Molecular Biology. Recurrent topics in Weijiao Gao's work include Cervical Cancer and HPV Research (4 papers), Reproductive tract infections research (3 papers) and Microbial infections and disease research (2 papers). Weijiao Gao is often cited by papers focused on Cervical Cancer and HPV Research (4 papers), Reproductive tract infections research (3 papers) and Microbial infections and disease research (2 papers). Weijiao Gao collaborates with scholars based in China, Ethiopia and United States. Weijiao Gao's co-authors include Yunong Gao, Xiaochi Chen, Yaqi Pan, Ying Liu, Zheming Lu, Chaoting Zhang, Yang Ke, Hongchao Xiong, Jing Shen and Min Gao and has published in prestigious journals such as Scientific Reports, British Journal of Cancer and Gynecologic Oncology.

In The Last Decade

Weijiao Gao

10 papers receiving 285 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Weijiao Gao 216 155 138 56 24 11 291
Alison Goulder 240 1.1× 227 1.5× 211 1.5× 50 0.9× 16 0.7× 5 383
Nadia Recine 262 1.2× 257 1.7× 132 1.0× 60 1.1× 19 0.8× 14 418
V. Prasauskas 92 0.4× 120 0.8× 63 0.5× 20 0.4× 10 0.4× 7 333
Xiaolei Guo 323 1.5× 69 0.4× 55 0.4× 135 2.4× 15 0.6× 12 379
Himangi Warke 101 0.5× 69 0.4× 130 0.9× 7 0.1× 15 0.6× 21 323
Maria Tsopanomichalou 93 0.4× 57 0.4× 104 0.8× 21 0.4× 21 0.9× 14 279
Diyuan Yang 145 0.7× 22 0.1× 58 0.4× 29 0.5× 41 1.7× 31 315
Carlos Sousa 71 0.3× 82 0.5× 40 0.3× 14 0.3× 20 0.8× 29 171
Gregory Judson 55 0.3× 104 0.7× 43 0.3× 18 0.3× 10 0.4× 14 250

Countries citing papers authored by Weijiao Gao

Since Specialization
Citations

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

Fields of papers citing papers by Weijiao Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijiao Gao

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

All Works

11 of 11 papers shown
2.
Gao, Weijiao, et al.. (2024). ChangPu YuJin Tang improves Tourette disorder symptoms by modulating amino acid neurotransmitters in IDPN model rats. Metabolic Brain Disease. 39(8). 1543–1558. 1 indexed citations
3.
村上, 靖彦, et al.. (2024). Network Pharmacology Combined with Animal Models to Investigate the Mechanism of ChangPu YuJin Tang in the Treatment of Tourette Syndrome. Combinatorial Chemistry & High Throughput Screening. 28(1). 166–184. 3 indexed citations
4.
Shu, Tong, Siwen Zhang, T. Sun, et al.. (2024). The prognostic value of tumor-informed minimal residual disease detection using circulating tumor DNA in first-line treatment of ovarian cancer. Gynecologic Oncology. 192. 94–101. 5 indexed citations
5.
Zhang, Chaoting, Ying Liu, Weijiao Gao, et al.. (2018). The direct and indirect association of cervical microbiota with the risk of cervical intraepithelial neoplasia. Cancer Medicine. 7(5). 2172–2179. 51 indexed citations
6.
Liu, Ying, Yaqi Pan, Weijiao Gao, Yang Ke, & Zheming Lu. (2017). Whole-Genome Analysis of Human Papillomavirus Types 16, 18, and 58 Isolated from Cervical Precancer and Cancer Samples in Chinese Women. Scientific Reports. 7(1). 263–263. 42 indexed citations
7.
8.
Zheng, Hong, Yunong Gao, Xin Yan, Min Gao, & Weijiao Gao. (2014). [Prophylactic use of low molecular weight heparin in combination with graduated compression stockings in post-operative patients with gynecologic cancer].. PubMed. 36(1). 39–42. 15 indexed citations
9.
Gao, Weijiao, et al.. (2013). Comparison of the vaginal microbiota diversity of women with and without human papillomavirus infection: a cross-sectional study. BMC Infectious Diseases. 13(1). 271–271. 141 indexed citations
10.
Zheng, Hong, et al.. (2013). [Expression of serum human epididymis protein 4 in epithelial ovarian cancer and its correlation with prognosis].. PubMed. 35(6). 445–9. 4 indexed citations
11.
Zhang, Rong, et al.. (2009). [Expression of P53, COX2 and CD44V6 in early-stage squamous carcinoma of cervix with lymph vascular space invasion positive and negative and its relationship with prognosis].. PubMed. 89(47). 3341–5. 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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