Duc M. Duong

18.7k citations
163 papers · 9.0k indexed · 3 hit papers · h-index 52

Impact in

Papers in

Duc M. Duong

158 papers receiving 8.9k citations

Hit Papers

Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis 2021 · 201 citations
2012009202620142020250500750

Peers

Duc M. Duong
Comparison fields: 5 of 153
  • Neurology 1.3k
  • Biological Psychiatry 377
  • Physiology 2.9k
  • Molecular Biology 5.5k
  • Cellular and Molecular Neuroscience 1.4k
Replace Nicholas T. Seyfried with:
Nicholas T. Seyfried United States
Eric B. Dammer United States
Stefan F. Lichtenthaler Germany
Pia Davidsson Sweden
Eric Karran United Kingdom
Tomohiro Nakamura United States
Katsuhiko Yanagisawa Japan
Martin Ingelsson Sweden
William E. Van Nostrand United States
Zezong Gu United States
Duc M. Duong relative to Nicholas T. Seyfried United States Nicholas T. Seyfried's profile →
Citations per field
00.5×1.5×
Nicholas T. Seyfried · 1×
Citations per year

Countries citing papers authored by Duc M. Duong

Since Specialization
Citations

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

Fields of papers citing papers by Duc M. Duong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duc M. Duong. 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 Duc M. Duong. The network helps show where Duc M. Duong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20259
2 20234
3 202337
4 202321
5 202223
6 202217
7 202215
8 202110
9 202116
10 202124
11 202137
12 202114
13 2020100
14 202012
15 202010
16 201918
17 2019128
18 20194
19 201728
20 2017100

About Duc M. Duong

Duc M. Duong is a scholar working on Biological Psychiatry, Neurology, Physiology, Spectroscopy and Molecular Biology, having authored 163 papers that have together received 9.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (56 papers), Advanced Proteomics Techniques and Applications (25 papers), Neuroinflammation and Neurodegeneration Mechanisms (20 papers), Ubiquitin and proteasome pathways (19 papers), Metabolomics and Mass Spectrometry Studies (15 papers), Mitochondrial Function and Pathology (15 papers), Bioinformatics and Genomic Networks (15 papers) and Tryptophan and brain disorders (13 papers). The work is most often cited by research in Neurology (1.3k citations), Biological Psychiatry (377 citations), Physiology (2.9k citations), Molecular Biology (5.5k citations) and Cellular and Molecular Neuroscience (1.4k citations). Duc M. Duong has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Nicholas T. Seyfried, Allan I. Levey, James J. Lah, Junmin Peng, Eric B. Dammer, Dongmei Cheng, Ping Xu, Marla Gearing, A. John Rush and Morgan Sheng. Their work appears in journals such as Journal of Proteome Research, Nature Communications, Molecular Neurodegeneration, Journal of Biological Chemistry and Alzheimer s & Dementia.

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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