Daniel A. Pulliam

668 citations
17 papers · 575 · h-index 13

Impact in

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

Papers in

    • Adipose Tissue and Metabolism 10
    • Spaceflight effects on biology 2
    • Genetics, Aging, and Longevity in Model Organisms 4

Daniel A. Pulliam

15 papers receiving 568 citations

Peers

Daniel A. Pulliam
Comparison fields: 5 of 75
  • Aging 113
  • Physiology 230
  • Rehabilitation 41
  • Molecular Biology 392
  • Geriatrics and Gerontology 18
Replace James H. DeFord with:
James H. DeFord United States
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Jason J. Villarin United States
Chuqian Liang China
Giulia Favaro Italy
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Erwin Reiling Netherlands
Julie Faitg United Kingdom
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Daniel A. Pulliam

Since Specialization
Citations

This map shows the geographic impact of Daniel A. 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 A. 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 A. Pulliam more than expected).

Fields of papers citing papers by Daniel A. Pulliam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2013105
2 201496
3 201368
4 201046
5 201342
6 201232
7 201331
8
Rapamycin Modulates Markers of Mitochondrial Biogenesis and Fatty Acid Oxidation in the Adipose Tissue of db/db Mice.
201330
9 201229
10 201623
11 201022
12 201521
13 201816
14 201712
15 20201
16 20091
17 20130

About Daniel A. Pulliam

Daniel A. Pulliam is a scholar working on Physiology, Aging, Molecular Biology, Critical Care and Intensive Care Medicine and Rehabilitation, having authored 17 papers that have together received 575 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), Redox biology and oxidative stress (2 papers), Muscle Physiology and Disorders (2 papers), Spaceflight effects on biology (2 papers), Autophagy in Disease and Therapy (1 paper) and Exercise and Physiological Responses (1 paper). The work is most often cited by research in Aging (113 citations), Physiology (230 citations), Rehabilitation (41 citations), Molecular Biology (392 citations) and Geriatrics and Gerontology (18 citations). Daniel A. 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, Rochelle Buffenstein, Yuhong Liu, Lauren B. Sloane, Carlo Fiore Viscomi and Chad A. Lerner. Their work appears in journals such as The FASEB Journal, Redox Biology, Aging Cell, Free Radical Biology and Medicine and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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