Siying Wei

473 citations
29 papers · 348 · h-index 12

Impact in

Papers in

    • RNA modifications and cancer 4
    • Cancer-related gene regulation 2
    • Dietary Effects on Health 6
    • Diet and metabolism studies 4
    • Adipose Tissue and Metabolism 2

Siying Wei

27 papers receiving 345 citations

Peers

Siying Wei
Comparison fields: 5 of 77
  • Aging 12
  • Physiology 106
  • Endocrine and Autonomic Systems 19
  • Endocrinology, Diabetes and Metabolism 36
  • Renewable Energy, Sustainability and the Environment 32
Replace Tonghai Xing with:
Tonghai Xing China
Violeta Georgeta Trusca Romania
Dominika Błoniarz Poland
Shuling Wang China
Brian M. Chung United States
Siyi Chen China
Sara M. Ahmed Egypt
Wenzhen Yin China
Abhirup Saha South Korea
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Citations per field
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Tonghai Xing · 1×
Citations per year

Countries citing papers authored by Siying Wei

Since Specialization
Citations

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

Fields of papers citing papers by Siying Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201892
2 202241
3 201727
4 201824
5 201922
6 202315
7 202114
8 202413
9 202312
10 202412
11 202111
12 201911
13 202510
14 20169
15 20237
16 20245
17 20244
18 20234
19 20233
20 20232

About Siying Wei

Siying Wei is a scholar working on Molecular Biology, Physiology, Surgery, Immunology and Cancer Research, having authored 29 papers that have together received 348 indexed citations. Recurring topics across this work include Dietary Effects on Health (6 papers), RNA modifications and cancer (4 papers), Diet and metabolism studies (4 papers), Pancreatic function and diabetes (3 papers), Diabetes and associated disorders (2 papers), Advanced Photocatalysis Techniques (2 papers), Cancer-related gene regulation (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Aging (12 citations), Physiology (106 citations), Endocrine and Autonomic Systems (19 citations), Endocrinology, Diabetes and Metabolism (36 citations) and Renewable Energy, Sustainability and the Environment (32 citations). Siying Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yan Chen, Jingyu Zhao, Meiqin Huang, Shuo Wang, Wen Lu, Qianqian Fan, Jianzhong Ma, Chenchen Li, Wenbo Zhang and Xue You. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Nutrition & Metabolism, Frontiers of Chemical Science and Engineering, Nature Communications and Frontiers in Public Health.

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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