Yang Gu

715 total citations
11 papers, 83 citations indexed

About

Yang Gu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yang Gu has authored 11 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yang Gu's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Circular RNAs in diseases (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Yang Gu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Circular RNAs in diseases (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Yang Gu collaborates with scholars based in China, United States and Italy. Yang Gu's co-authors include Ziying Li, Changyuan Yu, Deliang Guo, Xiaodong Zheng, Haining Fan, Pengpeng Liu, Haopeng Lin, Zhisu Liu, Ting Lu and Dagui Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Virology and Phytomedicine.

In The Last Decade

Yang Gu

11 papers receiving 83 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yang Gu China	5	37	24	23	18	16	11	83
Zhaoyuan Fu China	7	44 1.2×	15 0.6×	17 0.7×	14 0.8×	11 0.7×	11	104
Hua Ye China	6	55 1.5×	41 1.7×	25 1.1×	18 1.0×	16 1.0×	12	108
Lihong Yang China	6	40 1.1×	19 0.8×	14 0.6×	16 0.9×	14 0.9×	45	122
Hoi-Lam Ngan Hong Kong	3	44 1.2×	23 1.0×	21 0.9×	11 0.6×	41 2.6×	3	92
Shusheng Qiu China	5	50 1.4×	12 0.5×	23 1.0×	12 0.7×	13 0.8×	6	73
Rebecca Wu Canada	4	30 0.8×	31 1.3×	25 1.1×	10 0.6×	17 1.1×	8	105
Bradley Godfrey United States	3	59 1.6×	33 1.4×	14 0.6×	6 0.3×	15 0.9×	4	112
Peiyu Liang China	7	56 1.5×	13 0.5×	22 1.0×	28 1.6×	21 1.3×	12	106
Tian Chen China	5	59 1.6×	17 0.7×	25 1.1×	6 0.3×	22 1.4×	10	97
Davida Mirra Italy	7	25 0.7×	25 1.0×	21 0.9×	19 1.1×	10 0.6×	14	88

Countries citing papers authored by Yang Gu

Since Specialization

Citations

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

Fields of papers citing papers by Yang Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Gu

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

All Works

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11 of 11 papers shown

Gu, Yang, et al.. (2023). Exploring the efficacious constituents and underlying mechanisms of sini decoction for sepsis treatment through network pharmacology and multi-omics. Phytomedicine. 123. 155212–155212. 29 indexed citations

Han, Li, Yang Gu, Ziying Li, et al.. (2022). Deep Learning Chest CT for Clinically Precise Prediction of Sepsis-Induced Acute Respiratory Distress Syndrome: A Protocol for an Observational Ambispective Cohort Study. Healthcare. 10(11). 2150–2150. 3 indexed citations

Liu, Pengpeng, et al.. (2022). FCN3 inhibits the progression of hepatocellular carcinoma by suppressing SBDS-mediated blockade of the p53 pathway. International Journal of Biological Sciences. 19(2). 362–376. 17 indexed citations

Chen, Chen, Yuheng Chen, Yujia He, et al.. (2022). vFLIP‐regulated competing endogenous RNA (ceRNA) networks targeting lytic induction for KSHV‐associated malignancies. Journal of Medical Virology. 94(6). 2766–2775. 4 indexed citations

Dai, Lihua, et al.. (2020). Modified double lumen tube for a unique bronchial and carinal resection in a patient undergoing uniportal VATS for tumour: A case report. Translational Cancer Research. 9(3). 2077–2081. 4 indexed citations

Li, Anlin, Yongjian Chen, Qiyun Ou, et al.. (2020). Joint association of patients’ sex and PD‐L1 expression with overall survival benefits and tumor‐immune microenvironment in immune checkpoint inhibitors for cancers. SHILAP Revista de lepidopterología. 10(2). e92–e92. 7 indexed citations

Yu, Yunfang, Yongjian Chen, Anlin Li, et al.. (2020). Novel blood‐based tumor mutation algorithm and nomogram predict survival of immune checkpoint inhibitor in non‐small‐cell lung cancer: Results from two multicenter, randomized clinical trials. SHILAP Revista de lepidopterología. 10(2). e53–e53. 2 indexed citations

Lin, Haopeng, et al.. (2019). The proliferation and invasion of osteosarcoma are inhibited by miR-101 via targetting ZEB2. Bioscience Reports. 39(2). 12 indexed citations

Zhang, Shuping, et al.. (2017). Study on the correlation between ultrasonic imaging features in breast cancer and the expression of ER, PR, HER-2 and nm23. Biomedical Research-tokyo. 28(13). 5925–5929. 1 indexed citations

10.

Huang, Jin, et al.. (2012). [Interstitial implantation of ¹²⁵I seed therapy for recurrent ovarian cancer].. PubMed. 92(39). 2760–3. 2 indexed citations

11.

Zhang, Liang, et al.. (2008). [CT guided 125I seeds implantation in treatment of local recurrent rectal cancer after surgery resection: analysis of 21 cases].. PubMed. 88(19). 1335–8. 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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