Ellen Quarles

1.1k citations
21 papers · 734 · h-index 13

Impact in

Papers in

    • Mitochondrial Function and Pathology 5
    • Inflammasome and immune disorders 2
    • Genetics, Aging, and Longevity in Model Organisms 6

Ellen Quarles

19 papers receiving 727 citations

Peers

Ellen Quarles
Comparison fields: 5 of 95
  • Aging 117
  • Geriatrics and Gerontology 39
  • Physiology 174
  • Endocrine and Autonomic Systems 38
  • Immunology 120
Replace Qixia Xu with:
Qixia Xu China
Carlos J. Orihuela United States
Fiona Lewis United Kingdom
David Kitzenberg United States
Ryoko Akai Japan
Jean‐Marc Blouin France
Yiyuan Zhang China
Urmila Maitra United States
Ruzhi Deng China
Rubén Zapata‐Pérez Spain
Ellen Quarles relative to Qixia Xu China Qixia Xu's profile →
Citations per field
00.5×10×14.5×
Qixia Xu · 1×
Citations per year

Countries citing papers authored by Ellen Quarles

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Quarles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015112
2 201790
3 201982
4 201562
5 201457
6 201757
7 201754
8 200846
9 202042
10 201338
11 201527
12 201923
13 201721
14 20197
15 20206
16 20205
17 20162
18 20232
19 20081
20 20250

About Ellen Quarles

Ellen Quarles is a scholar working on Molecular Biology, Aging, Physiology, Immunology and Genetics, having authored 21 papers that have together received 734 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Mitochondrial Function and Pathology (5 papers), Immune Response and Inflammation (3 papers), Adipose Tissue and Metabolism (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Inflammasome and immune disorders (2 papers) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Aging (117 citations), Geriatrics and Gerontology (39 citations), Physiology (174 citations), Endocrine and Autonomic Systems (38 citations) and Immunology (120 citations). Ellen Quarles has collaborated with scholars based in United States, South Africa and South Korea. Frequent co-authors include Peter S. Rabinovitch, Nathan Basisty, Kelly D. Smith, Xiaodan Zhao, Ying Ann Chiao, Dao‐Fu Dai, Américo H. López-Yglesias, Ursula Jakob, Laura J. Niedernhofer and Warren Ladiges. Their work appears in journals such as Aging Cell, Aging, Infection and Immunity, The Journal of Immunology and PLoS ONE.

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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