Siwei Chen

5.6k citations
109 papers · 2.3k · h-index 24

Impact in

Papers in

Siwei Chen

104 papers receiving 2.3k citations

Peers

Siwei Chen
Comparison fields: 5 of 152
  • Endocrine and Autonomic Systems 391
  • Aging 103
  • Physiology 401
  • Molecular Medicine 74
  • Biological Psychiatry 31
Replace Maria Cristina Albertini with:
Maria Cristina Albertini Italy
Laurence D. Parnell United States
Milena Damulewicz Poland
Qiang Zhang China
Di Zhang China
Hui Ding China
Ivana Bjedov United Kingdom
Lin Lin China
Rumani Singh United States
Siwei Chen relative to Maria Cristina Albertini Italy Maria Cristina Albertini's profile →
Citations per field
00.5×2.8×
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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019294
2 2019230
3 2019199
4 2018123
5 2018107
6 202374
7 200368
8 202064
9 202247
10 202239
11 202236
12 202236
13 201834
14 201933
15 200830
16
Total saponins of Panax notoginseng protected rabbit iliac artery against balloon endothelial denudation injury.
200429
17 201828
18 202226
19 202125
20 202124

About Siwei Chen

Siwei Chen is a scholar working on Molecular Biology, Plant Science, Pharmacology, Oncology and Physiology, having authored 109 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Circadian rhythm and melatonin (6 papers), Microbial Natural Products and Biosynthesis (6 papers), Fungal Biology and Applications (6 papers), Adipose Tissue and Metabolism (5 papers), Diet and metabolism studies (4 papers), Marine Sponges and Natural Products (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (391 citations), Aging (103 citations), Physiology (401 citations), Molecular Medicine (74 citations) and Biological Psychiatry (31 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, Deng Chen, Hidde J. Haisma, Bin Liu, Muntaha Samad, Frank J. Dekker, Fangyuan Cao and Dominik Kiemel. Their work appears in journals such as Scientific Reports, Nucleic Acids Research, BMC Public Health, European Journal of Medicinal Chemistry and Frontiers in Oncology.

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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