Sally Purdom

618 citations
10 papers · 503 · h-index 10

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Telomeres, Telomerase, and Senescence

Papers in

    • Ion channel regulation and function 2
    • FOXO transcription factor regulation 2
    • Receptor Mechanisms and Signaling 2
    • Signaling Pathways in Disease 1

Sally Purdom

10 papers receiving 486 citations

Peers

Sally Purdom
Comparison fields: 5 of 80
  • Aging 65
  • Physiology 158
  • Cellular and Molecular Neuroscience 81
  • Molecular Biology 279
  • Geriatrics and Gerontology 14
Replace Ines Martin Padura with:
Ines Martin Padura Italy
Cheng-Heng Kao Taiwan
Victoria C. Tu United States
Silvia Pedretti Italy
Yasuhisa Hino Japan
Brigham B. Hyde United States
Jian-Fei Pei China
Ioanna Daskalaki Greece
Valerie B. Holcomb United States
Asami Hagiwara Japan
Sally Purdom relative to Ines Martin Padura Italy Ines Martin Padura's profile →
Citations per field
00.5×4.5×
Ines Martin Padura · 1×
Citations per year

Countries citing papers authored by Sally Purdom

Since Specialization
Citations

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

Fields of papers citing papers by Sally Purdom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2001140
2 200357
3 200556
4 200154
5 200547
6 200340
7 200134
8 199931
9 200127
10 200217

About Sally Purdom

Sally Purdom is a scholar working on Molecular Biology, Oncology, Aging, Cellular and Molecular Neuroscience and Pharmacology, having authored 10 papers that have together received 503 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Ion channel regulation and function (2 papers), FOXO transcription factor regulation (2 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Signaling Pathways in Disease (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Aging (65 citations), Physiology (158 citations), Cellular and Molecular Neuroscience (81 citations), Molecular Biology (279 citations) and Geriatrics and Gerontology (14 citations). Sally Purdom has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Qin M. Chen, Victoria C. Tu, Maarten H.K. Linskens, Karen R. Prowse, Farah Zia, Terry W. Moody, Jérôme Terrand, Yan Lin, Julius Leyton and Haipeng Sun. Their work appears in journals such as Biogerontology, Journal of Pharmacology and Experimental Therapeutics, Trends in Molecular Medicine, Lung Cancer and Breast Cancer Research and Treatment.

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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