Brian H. Chen

38 papers receiving 3.7k citations

Brian H. Chen's Hit Papers

An epigenetic biomarker of aging for lifespan and healthspan 2018 · 2.1k citations
2.1k0+2+5Years since publication50010001.5k2.0k

Peers

Brian H. Chen
Comparison fields: 5 of 127
  • Aging 280
  • Geriatrics and Gerontology 96
  • Pediatrics, Perinatology and Child Health 464
  • Molecular Biology 1.8k
  • Physiology 579
Replace Kurt Lohman with:
Kurt Lohman United States
James G. Wilson United States
Austin Quach United States
Guy Hughes United States
SriniVas R. Sadda United States
James D. Stewart United States
Lene Christiansen Denmark
Davide Gentilini Italy
John M. Starr United Kingdom
Anna Maria Di Blasio Italy
Brian H. Chen relative to Kurt Lohman United States Kurt Lohman's profile →
Citations per field
00.5×1.6×
Kurt Lohman · 1×
Citations per year

Countries citing papers authored by Brian H. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Brian H. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An epigenetic biomarker of aging for lifespan and healthspan
Hit paper breakdown →
20182077
2 2016330
3 2014153
4 2015124
5 2017116
6 2008115
7 201873
8 201967
9 200963
10 201061
11 201558
12 201254
13 201953
14 201451
15 201741
16 200638
17 201233
18 200632
19 201423
20 202122

About Brian H. Chen

Brian H. Chen is a scholar working on Molecular Biology, Physiology, Aging, Pediatrics, Perinatology and Child Health and Rheumatology, having authored 42 papers that have together received 3.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Folate and B Vitamins Research (4 papers), Birth, Development, and Health (4 papers), Cancer-related molecular mechanisms research (4 papers), Hormonal and reproductive studies (3 papers), Adipose Tissue and Metabolism (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Aging (280 citations), Geriatrics and Gerontology (96 citations), Pediatrics, Perinatology and Child Health (464 citations), Molecular Biology (1.8k citations) and Physiology (579 citations). Brian H. Chen has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Steve Horvath, Luigi Ferrucci, Themistocles L. Assimes, Morgan E. Levine, Stefania Bandinelli, Austin Quach, Ake T. Lu, Alex P. Reiner, Abraham Aviv and Eric A. Whitsel. Their work appears in journals such as The Journals of Gerontology Series A, Aging, Proceedings of the National Academy of Sciences, Diabetes and Clinical Chemistry.

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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