Bryan Hughes

1.2k citations
22 papers · 884 · h-index 15

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Mitochondrial Function and Pathology
    • Coenzyme Q10 studies and effects

Papers in

Bryan Hughes

21 papers receiving 874 citations

Peers

Bryan Hughes
Comparison fields: 5 of 105
  • Aging 210
  • Molecular Biology 455
  • Endocrine and Autonomic Systems 41
  • Cancer Research 79
  • Biological Psychiatry 13
Replace Erzsébet Polyák with:
Erzsébet Polyák United States
Gholamreza Fazeli Germany
Hyun Cheol Roh United States
Haoran Tai China
Shuling Song China
Ruchi Kumari India
Stella Victorelli United States
Alexander Keller United States
Bingyan Guo China
Bryan Hughes relative to Erzsébet Polyák United States Erzsébet Polyák's profile →
Citations per field
00.5×2.6×
Erzsébet Polyák · 1×
Citations per year

Countries citing papers authored by Bryan Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005280
2 2015137
3 201477
4 202146
5 201143
6 201342
7 201942
8 201631
9 201629
10 200629
11 201726
12 201524
13 201619
14 201716
15 201815
16 202213
17 20206
18 20214
19 20143
20 20091

About Bryan Hughes

Bryan Hughes is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Computational Mechanics and Aging, having authored 22 papers that have together received 884 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (6 papers), Mitochondrial Function and Pathology (6 papers), Granular flow and fluidized beds (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Coenzyme Q10 studies and effects (4 papers), Cyclone Separators and Fluid Dynamics (3 papers), Signaling Pathways in Disease (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). The work is most often cited by research in Aging (210 citations), Molecular Biology (455 citations), Endocrine and Autonomic Systems (41 citations), Cancer Research (79 citations) and Biological Psychiatry (13 citations). Bryan Hughes has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Siegfried Hekimi, Richard Schulz, Eric A. Shoubridge, Ning Jiang, Eve Bigras, Xingxing Liu, Michael J. Hendzel, Xiaohu Fan, Woo Jung Cho and Xi Gao. Their work appears in journals such as AIChE Journal, PLoS ONE, American Journal of Physiology-Heart and Circulatory Physiology, Basic Research in Cardiology and The FASEB Journal.

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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