W. Chen

607 citations
13 papers · 379 · h-index 9

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

W. Chen

12 papers receiving 370 citations

Peers

W. Chen
Comparison fields: 5 of 63
  • Aging 60
  • Physiology 190
  • Pediatrics, Perinatology and Child Health 73
  • Endocrine and Autonomic Systems 25
  • Obstetrics and Gynecology 13
Replace Susumu Nakazawa with:
Susumu Nakazawa Japan
Gislaine Satyko Kogure Brazil
Kamaraj Radhakrishnan United Kingdom
Valentin Max Vetter Germany
Aarthi Raman United States
Jessica Zibellini Australia
Romilly Hodges United States
Bente Øvrebø Norway
Luz E. Guillén Mexico
Maria Z. Alfaradhi United Kingdom
W. Chen relative to Susumu Nakazawa Japan Susumu Nakazawa's profile →
Citations per field
00.5×4.6×
Susumu Nakazawa · 1×
Citations per year

Countries citing papers authored by W. Chen

Since Specialization
Citations

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

Fields of papers citing papers by W. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011172
2 200445
3 200740
4 201128
5 200124
6 201622
7 201614
8 200611
9 201410
10 20167
11 20053
12 20063
13 20260

About W. Chen

W. Chen is a scholar working on Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Epidemiology, Obstetrics and Gynecology and Physiology, having authored 13 papers that have together received 379 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Birth, Development, and Health (2 papers), Cardiovascular Function and Risk Factors (2 papers), Pregnancy and preeclampsia studies (2 papers), Obesity, Physical Activity, Diet (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Aging (60 citations), Physiology (190 citations), Pediatrics, Perinatology and Child Health (73 citations), Endocrine and Autonomic Systems (25 citations) and Obstetrics and Gynecology (13 citations). W. Chen has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Gerald S. Berenson, S R Srinivasan, Masayuki Kimura, Sukanya Srinivasan, J. D. Kark, Abraham Aviv, Eric Boerwinkle, S. Li, G. Berenson and Fawaz Mzayek. Their work appears in journals such as International Journal of Obesity, Nutrition Metabolism and Cardiovascular Diseases, Journal of Investigative Medicine, Pediatric Obesity and Cellular 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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