Mary Cavanagh

1.6k citations
19 papers · 1.1k · h-index 16

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune responses and vaccinations
  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • Telomeres, Telomerase, and Senescence

Papers in

    • T-cell and B-cell Immunology 9
    • Immune responses and vaccinations 2
    • Immune Response and Inflammation 1
    • Rheumatoid Arthritis Research and Therapies 2

Mary Cavanagh

19 papers receiving 1.1k citations

Peers

Mary Cavanagh
Comparison fields: 5 of 51
  • Immunology 328
  • Physiology 30
  • Aging 8
  • Oncology 63
  • Epidemiology 96
Replace Ka Hang Liong with:
Ka Hang Liong Singapore
Sabine Le Saux United States
Pamela L. Witte United States
Seri Mustafah Singapore
Raul German Spallanzani United States
Michela Frascoli United States
Celine Silva Lages United States
Halima Moncrieffe United Kingdom
Margaret E. North United Kingdom
Jee H. Lee United States
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Citations per field
00.5×5×12.2×
Ka Hang Liong · 1×
Citations per year

Countries citing papers authored by Mary Cavanagh

Since Specialization
Citations

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

Fields of papers citing papers by Mary Cavanagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2015281
2 2016120
3 201899
4 201285
5 201482
6 201378
7 201657
8 200756
9 201652
10 200943
11 201843
12 201438
13 201231
14 201228
15 202321
16
Finding Balance: T cell Regulatory Receptor Expression during Aging.
201120
17 20088
18 20202
19 20101

About Mary Cavanagh

Mary Cavanagh is a scholar working on Immunology, Rheumatology, Oncology, Public Health, Environmental and Occupational Health and Nuclear Energy and Engineering, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune responses and vaccinations (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Colorectal Cancer Screening and Detection (1 paper), Neonatal and Maternal Infections (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (328 citations), Physiology (30 citations), Aging (8 citations), Oncology (63 citations) and Epidemiology (96 citations). Mary Cavanagh has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jörg J. Goronzy, Cornelia M. Weyand, Qian Qi, Fengqin Fang, Sabine Le Saux, Tracy Hussell, Cornelia L. Dekker, Lü Tian, Karnail Singh and Gary E. Swan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Reports, The Journal of Immunology, Science Translational Medicine and Biochemical Society Transactions.

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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