Daniel Layton
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Immunology 13
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Co-authors
- Richard L. Boyd (6 shared papers)Andrew G. D. Bean (15 shared papers)Ann P. Chidgey (4 shared papers)Alan Trounson (1 shared paper)Claude C.A. Bernard (2 shared papers)Stephen J. Kent (2 shared papers)Julius Wong (2 shared papers)Adam K. Wheatley (2 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Vaccine (2 papers)Scientific Reports (1 paper)Biophysical Reviews (1 paper)Nature (1 paper)
- Partner nations
- AustraliaUnited StatesSpain
In The Last Decade
Daniel Layton
35 papers receiving 544 citations
Peers
Comparison fields: 5 of 103
- Genetics 96
- Developmental Neuroscience 30
- Immunology 133
- Agronomy and Crop Science 48
- Infectious Diseases 78
Countries citing papers authored by Daniel Layton
This map shows the geographic impact of Daniel Layton'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 Daniel Layton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Layton more than expected).
Fields of papers citing papers by Daniel Layton
This network shows the impact of papers produced by Daniel Layton. 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 Daniel Layton. The network helps show where Daniel Layton may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Layton, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 84 | |
| 2 | 2013 | 74 | |
| 3 | 2017 | 50 | |
| 4 | 2017 | 30 | |
| 5 | 2022 | 30 | |
| 6 | 2018 | 30 | |
| 7 | 2019 | 28 | |
| 8 | 2008 | 23 | |
| 9 | 2013 | 20 | |
| 10 | 2007 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2006 | 13 | |
| 13 | 2013 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2012 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2008 | 10 | |
| 19 | 2011 | 9 | |
| 20 | 2013 | 9 |
About Daniel Layton
Daniel Layton is a scholar working on Immunology, Molecular Biology, Epidemiology, Infectious Diseases and Agronomy and Crop Science, having authored 36 papers that have together received 556 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Vectors (4 papers), Animal Virus Infections Studies (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Genetics (96 citations), Developmental Neuroscience (30 citations), Immunology (133 citations), Agronomy and Crop Science (48 citations) and Infectious Diseases (78 citations). Daniel Layton has collaborated with scholars based in Australia, United States and Spain. Frequent co-authors include Richard L. Boyd, Andrew G. D. Bean, Ann P. Chidgey, Alan Trounson, Claude C.A. Bernard, Stephen J. Kent, Julius Wong, Adam K. Wheatley, Thi H. O. Nguyen and Daniella Herszfeld. Their work appears in journals such as Frontiers in Immunology, Vaccine, Scientific Reports, Biophysical Reviews and Nature.
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.