Li Wei

1.7k citations
44 papers · 965 · h-index 15

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • 14-3-3 protein interactions 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Bariatric Surgery and Outcomes 3
    • Pancreatic function and diabetes 3

Li Wei

40 papers receiving 950 citations

Peers

Li Wei
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 152
  • Epidemiology 226
  • Physiology 143
  • Nephrology 39
  • Geriatrics and Gerontology 18
Replace Yanchuan Li with:
Yanchuan Li China
Uday Kumar Putcha India
Antonysunil Adaikalakoteswari United Kingdom
Yerong Yu China
Ramazan Memişoğulları Türkiye
Hongbo Yang China
Rafael M. Costa Brazil
Yanyun Gu China
Tiziana Rollo Italy
Shanmei Shen China
Li Wei relative to Yanchuan Li China Yanchuan Li's profile →
Citations per field
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Yanchuan Li · 1×
Citations per year

Countries citing papers authored by Li Wei

Since Specialization
Citations

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

Fields of papers citing papers by Li Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 2021140
3 201485
4 201856
5 201650
6 201246
7 201340
8
Relationship between Anemia and Chronic Complications in Chinese Patients with Type 2 Diabetes Mellitus.
201539
9 201539
10 201535
11 200426
12 202224
13 201523
14 201522
15 200917
16 201914
17 202114
18 201914
19 202114
20 201913

About Li Wei

Li Wei is a scholar working on Molecular Biology, Surgery, Epidemiology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 965 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Bariatric Surgery and Outcomes (3 papers), Adipose Tissue and Metabolism (3 papers), Pancreatic function and diabetes (3 papers), Virus-based gene therapy research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), 14-3-3 protein interactions (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (152 citations), Epidemiology (226 citations), Physiology (143 citations), Nephrology (39 citations) and Geriatrics and Gerontology (18 citations). Li Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weiping Jia, Yuqian Bao, Xuhong Hou, Junfeng Han, Yuanyuan Xiao, Jiarui Wu, Chunguang Yang, Yuexing Liu, Hongli Chen and Geng Zong. Their work appears in journals such as Cardiovascular Diabetology, The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Cell Metabolism and Obesity.

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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