Yipeng Sui

25 papers receiving 1.2k citations

Peers

Yipeng Sui
Comparison fields: 5 of 86
  • Health, Toxicology and Mutagenesis 303
  • Cellular and Molecular Neuroscience 200
  • Pharmacology 85
  • Insect Science 123
  • Cancer Research 130
Replace Wei Shen with:
Wei Shen China
Maria Słomczyńska Poland
David H. Volle France
Anthony Cryer United Kingdom
Chen Tu China
Patrick Vernet France
Huizhen Guo China
Jian Sun China
Christelle Delalande France
Ashutosh Pandey India
Yipeng Sui relative to Wei Shen China Wei Shen's profile →
Citations per field
00.5×4.3×
Wei Shen · 1×
Citations per year

Countries citing papers authored by Yipeng Sui

Since Specialization
Citations

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

Fields of papers citing papers by Yipeng Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yipeng Sui, 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 Yipeng Sui Line = papers co-authored together Yipeng Sui 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 2012171
2 2010170
3 201483
4 201180
5 201472
6 201971
7 201468
8 201860
9 201253
10 201646
11 201840
12 202138
13 201937
14 201836
15 201533
16 201332
17 200929
18 201628
19 202025
20 202021

About Yipeng Sui

Yipeng Sui is a scholar working on Health, Toxicology and Mutagenesis, Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), NF-κB Signaling Pathways (4 papers), Adipose Tissue and Metabolism (3 papers), Hormonal Regulation and Hypertension (3 papers), Estrogen and related hormone effects (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Insect Utilization and Effects (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (303 citations), Cellular and Molecular Neuroscience (200 citations), Pharmacology (85 citations), Insect Science (123 citations) and Cancer Research (130 citations). Yipeng Sui has collaborated with scholars based in United States and China. Frequent co-authors include Changcheng Zhou, Sehyung Park, Robert N. Helsley, Jennifer Rios-Pilier, Subba Reddy Palli, Jingjing Xu, Jinxian Xu, Zhentao Sheng, Zhaolin Zhang and William J. Welsh. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, JCI Insight, Journal of Lipid Research, Environmental Health Perspectives and Archives of Insect Biochemistry and Physiology.

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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