Shiwei Cui

848 citations
28 papers · 550 · h-index 13

Impact in

Papers in

Shiwei Cui

27 papers receiving 546 citations

Peers

Shiwei Cui
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 227
  • Epidemiology 127
  • Physiology 89
  • Environmental Chemistry 31
  • Molecular Biology 188
Replace Shuxia Guo with:
Shuxia Guo China
Spomenka Ljubić Croatia
Vijay R. More United States
Yonggong Zhai China
Elias Sundelin Denmark
Marie José Vilarem France
Andrew J. Lickteig United States
Ajay C. Donepudi United States
Guoli Du China
Xiaobing Tan United States
Shiwei Cui relative to Shuxia Guo China Shuxia Guo's profile →
Citations per field
00.5×1.6×
Shuxia Guo · 1×
Citations per year

Countries citing papers authored by Shiwei Cui

Since Specialization
Citations

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

Fields of papers citing papers by Shiwei Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018163
2 201060
3 201843
4 201734
5 202233
6 201528
7 201527
8 201522
9 202017
10 201717
11 201517
12 201515
13 201512
14 201511
15 201711
16 201310
17 201610
18 20206
19 20214
20 20132

About Shiwei Cui

Shiwei Cui is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Physiology and Epidemiology, having authored 28 papers that have together received 550 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Pancreatic function and diabetes (6 papers), Diabetes Management and Research (4 papers), Diabetes Treatment and Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Toxic Organic Pollutants Impact (3 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (227 citations), Epidemiology (127 citations), Physiology (89 citations), Environmental Chemistry (31 citations) and Molecular Biology (188 citations). Shiwei Cui has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaohui Zhu, Yunjuan Gu, Wanlu Zhang, Jie Yuan, Yun Zhao, Xiaoli Wu, Xiaoyi Zhang, Ying Chen, Zhiqiang Lu and Bo Cai. Their work appears in journals such as Biochemical and Biophysical Research Communications, General and Comparative Endocrinology, Journal of Diabetes Investigation, Journal of Physiology and Biochemistry and BMJ Open.

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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