Aiping Gu

442 total citations
23 papers, 313 citations indexed

About

Aiping Gu is a scholar working on Nephrology, Immunology and Molecular Biology. According to data from OpenAlex, Aiping Gu has authored 23 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nephrology, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Aiping Gu's work include Dialysis and Renal Disease Management (15 papers), Immunotherapy and Immune Responses (4 papers) and Iron Metabolism and Disorders (3 papers). Aiping Gu is often cited by papers focused on Dialysis and Renal Disease Management (15 papers), Immunotherapy and Immune Responses (4 papers) and Iron Metabolism and Disorders (3 papers). Aiping Gu collaborates with scholars based in China. Aiping Gu's co-authors include Jun Cai, Yi Wu, Huajun Wang, Xinchun Zhang, Jiaying Huang, Hongfeng Liang, Wei Fang, Zhaohui Ni, Na Li and Susan Ka Yee Chow and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Neuropharmacology.

In The Last Decade

Aiping Gu

21 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiping Gu China 9 98 79 58 57 51 23 313
Sung‐Chuan Chao Taiwan 10 133 1.4× 19 0.2× 31 0.5× 16 0.3× 41 0.8× 15 438
Tian‐Hua Xu China 11 94 1.0× 128 1.6× 43 0.7× 11 0.2× 25 0.5× 20 383
Hongyang Jiang China 13 129 1.3× 32 0.4× 38 0.7× 6 0.1× 43 0.8× 33 545
Zhengkun Hou China 11 162 1.7× 15 0.2× 106 1.8× 17 0.3× 31 0.6× 34 531
Deborah Ramini Italy 14 156 1.6× 7 0.1× 74 1.3× 37 0.6× 78 1.5× 25 454
Hongtao Yang China 11 75 0.8× 102 1.3× 21 0.4× 8 0.1× 32 0.6× 26 264
Rachel Njeim Lebanon 9 69 0.7× 31 0.4× 15 0.3× 9 0.2× 72 1.4× 19 261
Cihan Heybeli Türkiye 10 43 0.4× 103 1.3× 7 0.1× 3 0.1× 61 1.2× 52 287
Karen Sheehy Australia 6 92 0.9× 38 0.5× 10 0.2× 10 0.2× 51 1.0× 6 527

Countries citing papers authored by Aiping Gu

Since Specialization
Citations

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

Fields of papers citing papers by Aiping Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiping Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Aiping Gu. A scholar is included among the top collaborators of Aiping 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 Aiping Gu. Aiping Gu 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.
Fan, Y. H., et al.. (2023). Identification of a prognostic six-immune-gene signature and a nomogram model for uveal melanoma. BMC Ophthalmology. 23(1). 2–2. 3 indexed citations
2.
Fan, Y. H., Meilan Chen, Lingyun Tang, et al.. (2023). Identification and validation of a CCL18-related signature for prediction of overall survival in patients with uveal melanoma. Experimental Eye Research. 230. 109448–109448.
3.
Xie, Weizhen, Li Qin, Jiaying Huang, et al.. (2023). Clinical risk factors for peritoneal dialysis withdrawal at different dialysis duration. Renal Failure. 45(2). 2274965–2274965. 1 indexed citations
4.
Ding, Li, Liou Cao, Zanzhe Yu, et al.. (2022). Gene polymorphisms of VEGF and KDR are associated with initial fast peritoneal solute transfer rate in peritoneal dialysis. BMC Nephrology. 23(1). 365–365. 5 indexed citations
5.
Jin, Haijiao, Renhua Lu, Xuan Wang, et al.. (2022). Automated peritoneal dialysis as a cost-effective urgent-start dialysis option for ESRD patients: A prospective cohort study. The International Journal of Artificial Organs. 45(8). 672–679. 3 indexed citations
6.
Huang, Jiaying, Aiping Gu, Na Li, et al.. (2022). Self-care or assisted PD: development of a new approach to evaluate manual peritoneal dialysis practice ability. Renal Failure. 44(1). 1320–1326. 2 indexed citations
7.
Huang, Jiaying, et al.. (2021). Physical performance and health-related quality of life among older adults on peritoneal dialysis: a cross-sectional study. International Urology and Nephrology. 53(5). 1033–1042. 5 indexed citations
8.
Gu, Aiping, et al.. (2021). High EIF4E2 expression is an independent prognostic risk factor for poor overall survival and recurrence-free survival in uveal melanoma. Experimental Eye Research. 206. 108558–108558. 3 indexed citations
9.
Chow, Susan Ka Yee, et al.. (2020). Family caregiver's burden and the social support for older patients undergoing peritoneal dialysis. Journal of Renal Care. 46(4). 222–232. 21 indexed citations
10.
Zhang, Xinchun, et al.. (2019). YY1/LncRNA GAS5 complex aggravates cerebral ischemia/reperfusion injury through enhancing neuronal glycolysis. Neuropharmacology. 158. 107682–107682. 50 indexed citations
11.
Zhang, Xinchun, Hongfeng Liang, Xiaodong Luo, et al.. (2018). YY1 promotes IL-6 expression in LPS-stimulated BV2 microglial cells by interacting with p65 to promote transcriptional activation of IL-6. Biochemical and Biophysical Research Communications. 502(2). 269–275. 25 indexed citations
12.
Gu, Aiping, et al.. (2018). Curcumin protects neural cells against ischemic injury in N2a cells and mouse brain with ischemic stroke. Brain and Behavior. 8(2). e00921–e00921. 77 indexed citations
13.
Jin, Haijiao, Zhaohui Ni, Xiajing Che, et al.. (2018). Peritoneal Dialysis as an Option for Unplanned Dialysis Initiation in Patients with End-Stage Renal Disease and Diabetes Mellitus. Blood Purification. 47(1-3). 52–57. 13 indexed citations
15.
Chen, Ya, Wei Fang, Leyi Gu, et al.. (2017). The role of hemoglobin variability as a prognostic indicator in peritoneal dialysis patients: a retrospective descriptive study. International Urology and Nephrology. 50(1). 167–171. 4 indexed citations
16.
Zan, Jie, Hao Zhang, Aiping Gu, et al.. (2017). Yin Yang 1 Dynamically Regulates Antiviral Innate Immune Responses During Viral Infection. Cellular Physiology and Biochemistry. 44(2). 607–617. 22 indexed citations
17.
Ding, Li, Xinghua Shao, Liou Cao, et al.. (2016). Possible role of IL-6 and TIE2 gene polymorphisms in predicting the initial high transport status in patients with peritoneal dialysis: an observational study. BMJ Open. 6(10). e012967–e012967. 10 indexed citations
18.
Lei, Yutian, Yifan Xiong, Lin Zhang, et al.. (2015). Comparison of Long-Term Outcomes between Peritoneal Dialysis Patients with Diabetes as a Primary Renal Disease or as a Comorbid Condition. PLoS ONE. 10(5). e0126549–e0126549. 6 indexed citations
19.
Jiang, Na, Wei Fang, Aiping Gu, et al.. (2015). Improving diet recipe and cooking methods attenuates hyperphosphatemia in patients undergoing peritoneal dialysis. Nutrition Metabolism and Cardiovascular Diseases. 25(9). 846–852. 6 indexed citations
20.
Yan, Ruhong, Shun Yang, Aiping Gu, et al.. (2013). Murine B7-H3 Is a Co-Stimulatory Molecule for T Cell Activation. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 32(6). 395–398. 26 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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