Aiping Gu

442 citations
23 papers · 313 · h-index 9

Impact in

  • Nephrology top 10%
    • Dialysis and Renal Disease Management
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments

Papers in

    • Dialysis and Renal Disease Management 15
    • Acute Kidney Injury Research 2
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 2

Aiping Gu

21 papers receiving 309 citations

Peers

Aiping Gu
Comparison fields: 5 of 77
  • Nephrology 79
  • Neurology 57
  • Molecular Medicine 30
  • Cancer Research 58
  • Immunology 51
Replace Sung‐Chuan Chao with:
Sung‐Chuan Chao Taiwan
Zhengkun Hou China
Raghu Varadarajan Ireland
Hongtao Yang China
Rachel Njeim Lebanon
Hongyang Jiang China
Deborah Ramini Italy
Danyi Zeng China
Tian‐Hua Xu China
Aiping Gu relative to Sung‐Chuan Chao Taiwan Sung‐Chuan Chao's profile →
Citations per field
00.5×7.5×
Sung‐Chuan Chao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Aiping Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aiping Gu Line = papers co-authored together Aiping Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 201950
3 201326
4 201825
5 201722
6 202021
7 202021
8 201813
9 201610
10 20156
11 20156
12 20036
13 20225
14 20215
15 20174
16 20154
17 20233
18 20213
19 20223
20 20222

About Aiping Gu

Aiping Gu is a scholar working on Nephrology, Immunology, Molecular Biology, Hematology and Ophthalmology, having authored 23 papers that have together received 313 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (15 papers), Immunotherapy and Immune Responses (4 papers), Iron Metabolism and Disorders (3 papers), Ocular Oncology and Treatments (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Acute Kidney Injury Research (2 papers), Erythropoietin and Anemia Treatment (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Nephrology (79 citations), Neurology (57 citations), Molecular Medicine (30 citations), Cancer Research (58 citations) and Immunology (51 citations). Aiping Gu has collaborated with scholars based in China. Frequent co-authors include Jun Cai, Yi Wu, Xinchun Zhang, Huajun Wang, Jiaying Huang, Hongfeng Liang, Zhaohui Ni, Wei Fang, Na Li and Na Jiang. Their work appears in journals such as Renal Failure, Experimental Eye Research, Peritoneal Dialysis International, BMJ Open and Blood Purification.

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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