Ling Wei

1.1k citations
25 papers · 814 · h-index 16

Impact in

Papers in

    • Chronic Kidney Disease and Diabetes 3
    • Autophagy in Disease and Therapy 5
    • Adipokines, Inflammation, and Metabolic Diseases 2

Ling Wei

24 papers receiving 801 citations

Peers

Ling Wei
Comparison fields: 5 of 93
  • Nephrology 135
  • Clinical Biochemistry 74
  • Endocrinology, Diabetes and Metabolism 83
  • Cancer Research 71
  • Biochemistry 32
Replace Jinying Wei with:
Jinying Wei China
Yunzhuo Ren China
Yanjuan Hou China
Xiangjuan Liu China
Haijiang Wu China
Xiaogang Du China
Xiaofen Xiong China
Yunman Wang China
Kelli Margot Sas United States
Yingjin Qiao China
Ling Wei relative to Jinying Wei China Jinying Wei's profile →
Citations per field
00.5×2×3×4.3×
Jinying Wei · 1×
Citations per year

Countries citing papers authored by Ling Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ling Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020120
2 202184
3 202282
4 201978
5 201855
6 202048
7 202141
8 202139
9 202136
10 202134
11 202131
12 202127
13 202023
14 202322
15 202021
16 202017
17 201716
18 202010
19 20218
20 20207

About Ling Wei

Ling Wei is a scholar working on Nephrology, Epidemiology, Critical Care and Intensive Care Medicine, Pathology and Forensic Medicine and Molecular Biology, having authored 25 papers that have together received 814 indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (5 papers), Autophagy in Disease and Therapy (5 papers), Chronic Kidney Disease and Diabetes (3 papers), Biomedical Research and Pathophysiology (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Nephrology (135 citations), Clinical Biochemistry (74 citations), Endocrinology, Diabetes and Metabolism (83 citations), Cancer Research (71 citations) and Biochemistry (32 citations). Ling Wei has collaborated with scholars based in China and United States. Frequent co-authors include Lin Sun, Ying Xiao, Xiaofen Xiong, Ming Yang, Yachun Han, Hao Zhao, Na Jiang, Peng Gao, Chenrui Li and Xuejing Zhu. Their work appears in journals such as BMJ Open, Current Medicinal Chemistry, BMC Surgery, Frontiers in Endocrinology and Toxicology and Applied Pharmacology.

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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