Siwei Chen

5.3k citations
108 papers · 2.2k · h-index 24

Impact in

Papers in

Siwei Chen

103 papers receiving 2.1k citations

Peers

Siwei Chen
Comparison fields: 5 of 155
  • Aging 108
  • Endocrine and Autonomic Systems 403
  • Physiology 457
  • Molecular Medicine 79
  • Biological Psychiatry 39
Replace Maria Cristina Albertini with:
Maria Cristina Albertini Italy
Laurence D. Parnell United States
Qiang Zhang China
Milena Damulewicz Poland
Insug Kang South Korea
Di Zhang China
Lin Lin China
Enqi Liu China
Siwei Chen relative to Maria Cristina Albertini Italy Maria Cristina Albertini's profile →
Citations per field
00.5×11×
Maria Cristina Albertini · 1×
Citations per year

Countries citing papers authored by Siwei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Siwei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019281
2 2019221
3 2019192
4 2018117
5 2018105
6 202366
7 200365
8 202052
9 202241
10 202237
11 202235
12 201834
13 202233
14 201930
15 200830
16
Total saponins of Panax notoginseng protected rabbit iliac artery against balloon endothelial denudation injury.
200429
17 201827
18 202226
19 202125
20 202124

About Siwei Chen

Siwei Chen is a scholar working on Molecular Biology, Oncology, Plant Science, Pharmacology and Physiology, having authored 108 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (7 papers), Fungal Biology and Applications (7 papers), Circadian rhythm and melatonin (6 papers), Epigenetics and DNA Methylation (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Adipose Tissue and Metabolism (5 papers), CRISPR and Genetic Engineering (4 papers) and Marine Sponges and Natural Products (4 papers). The work is most often cited by research in Aging (108 citations), Endocrine and Autonomic Systems (403 citations), Physiology (457 citations), Molecular Medicine (79 citations) and Biological Psychiatry (39 citations). Siwei Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Pierre Baldi, Wenke Cheng, Paolo Sassone‐Corsi, Hidde J. Haisma, Deng Chen, Bin Liu, Muntaha Samad, Fangyuan Cao, Frank J. Dekker and Dominik Kiemel. Their work appears in journals such as Nucleic Acids Research, BMC Public Health, Magnetic Resonance in Chemistry, Scientific Reports and Frontiers in Microbiology.

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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