W. Pendergrass

1.2k citations
15 papers · 1.0k · h-index 12

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

    • Telomeres, Telomerase, and Senescence 6
    • Genetics, Aging, and Longevity in Model Organisms 2

W. Pendergrass

14 papers receiving 942 citations

Peers

W. Pendergrass
Comparison fields: 5 of 71
  • Aging 102
  • Physiology 199
  • Rehabilitation 28
  • Molecular Biology 160
  • Behavioral Neuroscience 3
Replace Ian A. Semple with:
Ian A. Semple United States
G. M. TARRANT United Kingdom
Carrie J. Holtz Heppelmann United States
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Citations per field
00.5×2×3×4×4.7×
Ian A. Semple · 1×
Citations per year

Countries citing papers authored by W. Pendergrass

Since Specialization
Citations

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

Fields of papers citing papers by W. Pendergrass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2004411
2 197587
3 199687
4 199686
5
Neovascularization in aged mice: delayed angiogenesis is coincident with decreased levels of transforming growth factor beta1 and type I collagen.
199875
6 199970
7 197555
8 200141
9 199930
10 198527
11
An age-related reduction in the replicative capacity of two murine hematopoietic stroma cell types.
199218
12 197913
13 19992
14 19841
15 19940

About W. Pendergrass

W. Pendergrass is a scholar working on Physiology, Aging, Rehabilitation, Hematology and Global and Planetary Change, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Aerosol Filtration and Electrostatic Precipitation (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Mitochondrial Function and Pathology (1 paper), Wound Healing and Treatments (1 paper) and Radioactive contamination and transfer (1 paper). The work is most often cited by research in Aging (102 citations), Physiology (199 citations), Rehabilitation (28 citations), Molecular Biology (160 citations) and Behavioral Neuroscience (3 citations). W. Pendergrass has collaborated with scholars based in United States. Frequent co-authors include Norman S. Wolf, Martin Poot, Thomas H. Norwood, George M. Martin, Philip Penn, Barbara J. Deeb, Amoreena C. Corsa, PAUL K. BORNSTEIN, May J. Reed and Itamar B. Abrass. Their work appears in journals such as The Journals of Gerontology Series A, Journal of Cellular Physiology, Mechanisms of Ageing and Development, The Journal of Cell Biology and Cytometry Part A.

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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