Casey Dagnall
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Periodontics top 5%
- Oral microbiology and periodontitis research
Papers in
- Physiology 22
- Telomeres, Telomerase, and Senescence 21
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- Gut microbiota and health 7
- Molecular Biology Techniques and Applications 3
- Co-authors
- Belynda Hicks (26 shared papers)Sharon A. Savage (15 shared papers)Shahinaz M. Gadalla (16 shared papers)Kristine Jones (16 shared papers)Amy Hutchinson (12 shared papers)Stephen R. Spellman (12 shared papers)Hormuzd A. Katki (8 shared papers)Stephen J. Chanock (6 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (3 papers)PLoS ONE (3 papers)Blood (2 papers)British Journal of Haematology (2 papers)Cancer Medicine (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Casey Dagnall
40 papers receiving 594 citations
Peers
Comparison fields: 5 of 84
- Aging 28
- Periodontics 60
- Physiology 215
- Molecular Biology 262
- Cancer Research 42
Countries citing papers authored by Casey Dagnall
This map shows the geographic impact of Casey Dagnall'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 Casey Dagnall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Dagnall more than expected).
Fields of papers citing papers by Casey Dagnall
This network shows the impact of papers produced by Casey Dagnall. 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 Casey Dagnall. The network helps show where Casey Dagnall may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey Dagnall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 93 | |
| 2 | 2019 | 56 | |
| 3 | 2017 | 41 | |
| 4 | 2022 | 36 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 28 | |
| 7 | 2018 | 25 | |
| 8 | 2016 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2020 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2016 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2023 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2016 | 11 | |
| 20 | 2023 | 9 |
About Casey Dagnall
Casey Dagnall is a scholar working on Physiology, Molecular Biology, Epidemiology, Genetics and Periodontics, having authored 45 papers that have together received 596 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (21 papers), Gut microbiota and health (7 papers), Oral microbiology and periodontitis research (7 papers), Mesenchymal stem cell research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Cervical Cancer and HPV Research (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Aging (28 citations), Periodontics (60 citations), Physiology (215 citations), Molecular Biology (262 citations) and Cancer Research (42 citations). Casey Dagnall has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Belynda Hicks, Sharon A. Savage, Shahinaz M. Gadalla, Kristine Jones, Amy Hutchinson, Stephen R. Spellman, Hormuzd A. Katki, Stephen J. Chanock, Geraldine Aubert and Emily Vogtmann. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, PLoS ONE, Blood, British Journal of Haematology and Cancer Medicine.
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.