Daniel Pulliam

661 citations
18 papers · 544 · h-index 13

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Adipose Tissue and Metabolism

Papers in

    • Mitochondrial Function and Pathology 11
    • Muscle Physiology and Disorders 2
    • Redox biology and oxidative stress 2
    • Coenzyme Q10 studies and effects 1
    • Adipose Tissue and Metabolism 10
    • Spaceflight effects on biology 2
    • Telomeres, Telomerase, and Senescence 1

Daniel Pulliam

16 papers receiving 540 citations

Peers

Daniel Pulliam
Comparison fields: 5 of 78
  • Aging 107
  • Physiology 224
  • Rehabilitation 40
  • Geriatrics and Gerontology 20
  • Molecular Biology 370
Replace Zhengjin Cao with:
Zhengjin Cao United States
Julianna Huang Canada
Linda M.‐D. Nguyen United States
Svetlana Altshuler-Keylin United States
Justin Darcy United States
Giulia Favaro Italy
Yueh-Mei Hsu United States
Yasmine J. Liu Netherlands
Arkan Abadi Canada
Andrea Irazoki Spain
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Citations per field
00.5×3.6×
Zhengjin Cao · 1×
Citations per year

Countries citing papers authored by Daniel Pulliam

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pulliam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201396
2 201491
3 201367
4 201040
5 201337
6 201232
7 201229
8
Rapamycin Modulates Markers of Mitochondrial Biogenesis and Fatty Acid Oxidation in the Adipose Tissue of db/db Mice.
201328
9 201328
10 201022
11 201621
12 201520
13 201816
14 201710
15 20175
16 20091
17 20201
18 20130

About Daniel Pulliam

Daniel Pulliam is a scholar working on Molecular Biology, Physiology, Aging, Epidemiology and Critical Care and Intensive Care Medicine, having authored 18 papers that have together received 544 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Adipose Tissue and Metabolism (10 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Muscle Physiology and Disorders (2 papers), Spaceflight effects on biology (2 papers), Redox biology and oxidative stress (2 papers), Coenzyme Q10 studies and effects (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Aging (107 citations), Physiology (224 citations), Rehabilitation (40 citations), Geriatrics and Gerontology (20 citations) and Molecular Biology (370 citations). Daniel Pulliam has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Holly Van Remmen, Yun Shi, Arunabh Bhattacharya, Shauna Hill, Sathyaseelan S. Deepa, Yuhong Liu, Lauren Sloane, Rochelle Buffenstein, Carlo Viscomi and Timothy Nacarelli. Their work appears in journals such as The FASEB Journal, Aging Cell, Redox Biology, Experimental Gerontology and Antioxidants and Redox Signaling.

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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