Guixia Ding

2.3k citations
68 papers · 2.0k indexed · h-index 25

Impact in

Papers in

    • Renal Diseases and Glomerulopathies 12
    • Acute Kidney Injury Research 8
    • Chronic Kidney Disease and Diabetes 5
    • Eicosanoids and Hypertension Pharmacology 6

Guixia Ding

65 papers receiving 2.0k citations

Peers

Guixia Ding
Comparison fields: 5 of 94
  • Nephrology 633
  • Clinical Biochemistry 151
  • Biochemistry 115
  • Pathology and Forensic Medicine 278
  • Molecular Biology 937
Replace Yanggang Yuan with:
Yanggang Yuan China
Yachun Han China
Wenpeng Cui China
Anil Bhanudas Gaikwad India
Adrián M. Ramos Spain
Anne‐Émilie Declèves Belgium
Brian B. Ratliff United States
Mi Ra Yu South Korea
Stacey Ruiz United States
Guixia Ding relative to Yanggang Yuan China Yanggang Yuan's profile →
Citations per field
00.5×1.5×
Yanggang Yuan · 1×
Citations per year

Countries citing papers authored by Guixia Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guixia Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Guixia Ding, 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 Guixia Ding Line = papers co-authored together Guixia Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20236
3 202333
4 20220
5 202114
6 202011
7 20198
8 201980
9 201916
10 2018152
11 20172
12 20158
13 201511
14 201371
15 2012139
16 20126
17 2012104
18 2011104
19 201016
20 200528

About Guixia Ding

Guixia Ding is a scholar working on Nephrology, Biochemistry, Pathology and Forensic Medicine, Pharmacology and Molecular Biology, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (12 papers), Ion Transport and Channel Regulation (10 papers), Acute Kidney Injury Research (8 papers), Inflammasome and immune disorders (8 papers), Hormonal Regulation and Hypertension (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Chronic Kidney Disease and Diabetes (5 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Nephrology (633 citations), Clinical Biochemistry (151 citations), Biochemistry (115 citations), Pathology and Forensic Medicine (278 citations) and Molecular Biology (937 citations). Guixia Ding has collaborated with scholars based in China and United States. Frequent co-authors include Songming Huang, Aihua Zhang, Zhanjun Jia, Chunhua Zhu, Yanggang Yuan, Mi Bai, Ronghua Chen, Tianxin Yang, Yue Zhang and Bi‐Cheng Liu. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Oncotarget, PPAR Research, World Journal of Pediatrics and Pediatric Nephrology.

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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