Sifan Chen

80 papers receiving 2.3k citations

Sifan Chen's Hit Papers

Trimethylamine N-Oxide Binds and Activates PERK to Promote Metabolic Dysfunction 2019 · 313 citations
3130+2+4Years since publication100200300

Peers

Sifan Chen
Comparison fields: 5 of 149
  • Geriatrics and Gerontology 441
  • Biological Psychiatry 50
  • Physiology 92
  • Physiology 387
  • Epidemiology 347
Replace Yinhua Yang with:
Yinhua Yang United States
Lanfang Li China
Xing‐Mei Zhang China
Jiangwei Chen China
Ching‐Feng Cheng Taiwan
T. Sato Japan
Mingyang Zhang China
Mingyan Zhou United States
Yang Hee Kim South Korea
Sergiy Kyrylenko Finland
Sifan Chen relative to Yinhua Yang United States Yinhua Yang's profile →
Citations per field
00.5×1.7×
Yinhua Yang · 1×
Citations per year

Countries citing papers authored by Sifan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Sifan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Trimethylamine N-Oxide Binds and Activates PERK to Promote Metabolic Dysfunction
Hit paper breakdown →
2019313
2 2013170
3 2015155
4 2016106
5 2019100
6 201485
7 201479
8 201178
9 201163
10 202058
11 201255
12 200854
13 201753
14 201853
15 202146
16 201739
17 202037
18 201535
19 201934
20 200833

About Sifan Chen

Sifan Chen is a scholar working on Molecular Biology, Materials Chemistry, Epidemiology, Geriatrics and Gerontology and Physiology, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (11 papers), Adipose Tissue and Metabolism (7 papers), Conducting polymers and applications (7 papers), Advanced Photocatalysis Techniques (5 papers), Autophagy in Disease and Therapy (5 papers), Cancer-related molecular mechanisms research (5 papers), Wound Healing and Treatments (5 papers) and Corrosion Behavior and Inhibition (5 papers). The work is most often cited by research in Geriatrics and Gerontology (441 citations), Biological Psychiatry (50 citations), Physiology (92 citations), Physiology (387 citations) and Epidemiology (347 citations). Sifan Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ingrid Grummt, Renate Voit, Zilun Li, Wei Zhu, Wenxue Li, Zili Zhang, Xiang Feng, Jeanette Seiler, Maximilian Felix Blank and Zhouhu Deng. Their work appears in journals such as PLoS ONE, Scientific Reports, Materials Letters, Frontiers in Medicine and Lupus.

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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