Yuning Liu

468 citations
27 papers · 283 · h-index 11

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management
    • Advanced Glycation End Products research

Papers in

    • Chronic Kidney Disease and Diabetes 5
    • Dialysis and Renal Disease Management 4
    • Renal Diseases and Glomerulopathies 3
    • Mitochondrial Function and Pathology 2

Yuning Liu

23 papers receiving 278 citations

Peers

Yuning Liu
Comparison fields: 5 of 80
  • Nephrology 90
  • Clinical Biochemistry 30
  • Neurology 29
  • Biological Psychiatry 4
  • Cellular and Molecular Neuroscience 28
Replace Yajun He with:
Yajun He China
Sung-Sen Yang Taiwan
Li‐Wen Chu Taiwan
Teresa Chen United States
Jun‐Yih Chen Taiwan
Megan R. Beggs Canada
G. Secchi Italy
Jana Tůmová United States
Sung‐Hee Ihm South Korea
Geoffrey Broadhead Australia
Yuning Liu relative to Yajun He China Yajun He's profile →
Citations per field
00.5×7.5×
Yajun He · 1×
Citations per year

Countries citing papers authored by Yuning Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuning Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201942
2 202140
3 201734
4 202332
5 202019
6 202117
7 202414
8 202411
9 202211
10 202211
11 201411
12 20219
13 20238
14 20227
15 20234
16 20203
17 20222
18 20242
19 20232
20 20191

About Yuning Liu

Yuning Liu is a scholar working on Nephrology, Molecular Biology, Neurology, Physiology and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 283 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (5 papers), Dialysis and Renal Disease Management (4 papers), Renal Diseases and Glomerulopathies (3 papers), Neuroscience and Neural Engineering (2 papers), Neurological disorders and treatments (2 papers), Diet and metabolism studies (2 papers), Mitochondrial Function and Pathology (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Nephrology (90 citations), Clinical Biochemistry (30 citations), Neurology (29 citations), Biological Psychiatry (4 citations) and Cellular and Molecular Neuroscience (28 citations). Yuning Liu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Wei Jing Liu, Jing Guo, Huijuan Zheng, Yaoxian Wang, Weijing Liu, Jingyi Tang, Hongmei Lü, Meiling Zhang, Yachun Li and Qi Jia. Their work appears in journals such as Journal of Inequalities and Applications, Renal Failure, Analytical Chemistry, Drug Design Development and Therapy and Annals of Medicine.

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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