Guixia Ding

2.4k citations
68 papers · 2.0k · h-index 26

Impact in

Papers in

    • Ion Transport and Channel Regulation 10
    • Inflammasome and immune disorders 6
    • Renal and related cancers 4
    • Heme Oxygenase-1 and Carbon Monoxide 4
    • Renal Diseases and Glomerulopathies 10
    • Acute Kidney Injury Research 8
    • Chronic Kidney Disease and Diabetes 4
    • Gout, Hyperuricemia, Uric Acid 4

Guixia Ding

65 papers receiving 2.0k citations

Peers

Guixia Ding
Comparison fields: 5 of 92
  • Nephrology 575
  • Clinical Biochemistry 124
  • Geriatrics and Gerontology 51
  • Pathology and Forensic Medicine 246
  • Biochemistry 101
Replace Yanggang Yuan with:
Yanggang Yuan China
Wenpeng Cui China
Yachun Han China
Adrián M. Ramos Spain
Shikun Yang China
Brian B. Ratliff United States
Stacey Ruiz United States
Guie Dong United States
Jee‐Young Han South Korea
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-authors

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

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018157
2 2012141
3 2011109
4 2012107
5 2018105
6 201792
7 201981
8 200979
9 201573
10 201473
11 201373
12 201866
13 201551
14 201441
15 200739
16 201436
17 202335
18 201433
19 201532
20 201732

About Guixia Ding

Guixia Ding is a scholar working on Molecular Biology, Nephrology, Pathology and Forensic Medicine, Surgery and Genetics, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (10 papers), Renal Diseases and Glomerulopathies (10 papers), Acute Kidney Injury Research (8 papers), Inflammasome and immune disorders (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Renal and related cancers (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). The work is most often cited by research in Nephrology (575 citations), Clinical Biochemistry (124 citations), Geriatrics and Gerontology (51 citations), Pathology and Forensic Medicine (246 citations) and Biochemistry (101 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, Ronghua Chen, Mi Bai, Tianxin Yang, Yue Zhang and Bi‐Cheng Liu. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Oncotarget, World Journal of Pediatrics, Cellular Physiology and Biochemistry and PPAR Research.

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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