Casey Dagnall
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Periodontics top 5%
- Oral microbiology and periodontitis research
Papers in
-
- Gut microbiota and health 7
- Molecular Biology Techniques and Applications 5
- Physiology 23
- Telomeres, Telomerase, and Senescence 21
- Co-authors
- Belynda Hicks (25 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)Geraldine Aubert (4 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (3 papers)PLoS ONE (3 papers)British Journal of Haematology (2 papers)Biology of Blood and Marrow Transplantation (2 papers)Blood (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Casey Dagnall
38 papers receiving 569 citations
Peers
Comparison fields: 5 of 88
- Aging 35
- Periodontics 67
- Physiology 221
- Molecular Biology 308
- Genetics 38
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 92 | |
| 2 | 2019 | 55 | |
| 3 | 2017 | 41 | |
| 4 | 2022 | 35 | |
| 5 | 2017 | 31 | |
| 6 | 2017 | 27 | |
| 7 | 2018 | 24 | |
| 8 | 2016 | 23 | |
| 9 | 2021 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2018 | 19 | |
| 12 | 2018 | 18 | |
| 13 | 2020 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2017 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2016 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2016 | 10 | |
| 20 | 2017 | 8 |
About Casey Dagnall
Casey Dagnall is a scholar working on Molecular Biology, Physiology, Epidemiology, Genetics and Hematology, having authored 43 papers that have together received 573 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (21 papers), Mesenchymal stem cell research (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Gut microbiota and health (7 papers), Oral microbiology and periodontitis research (6 papers), Molecular Biology Techniques and Applications (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and Cervical Cancer and HPV Research (4 papers). The work is most often cited by research in Aging (35 citations), Periodontics (67 citations), Physiology (221 citations), Molecular Biology (308 citations) and Genetics (38 citations). Casey Dagnall has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Belynda Hicks, Sharon A. Savage, Shahinaz M. Gadalla, Kristine Jones, Amy Hutchinson, Stephen R. Spellman, Hormuzd A. Katki, Geraldine Aubert, Stephen J. Chanock and Rotana Alsaggaf. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, PLoS ONE, British Journal of Haematology, Biology of Blood and Marrow Transplantation and Blood.
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.