Colm Atkins
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Viral Infections and Vectors 9
- Viral Infections and Outbreaks Research 6
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Co-authors
- Alexander N. Freiberg (10 shared papers)Brian P. Daniels (7 shared papers)Mengmeng Jin (1 shared paper)Xiaoxi Li (1 shared paper)Andrew J. Boreland (1 shared paper)Caroline Erickson (1 shared paper)Ranjie Xu (1 shared paper)Peng Jiang (1 shared paper)
- Journals
- The Journal of Infectious Diseases (3 papers)Journal of Virology (3 papers)Journal of Neuroinflammation (2 papers)PLoS Pathogens (2 papers)Ornithological Applications (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Colm Atkins
23 papers receiving 599 citations
Peers
Comparison fields: 5 of 75
- Developmental Neuroscience 71
- Neurology 121
- Infectious Diseases 174
- Immunology 132
- Virology 29
Countries citing papers authored by Colm Atkins
This map shows the geographic impact of Colm Atkins'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 Colm Atkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colm Atkins more than expected).
Fields of papers citing papers by Colm Atkins
This network shows the impact of papers produced by Colm Atkins. 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 Colm Atkins. The network helps show where Colm Atkins may publish in the future.
Co-authors
The 25 scholars most cited alongside Colm Atkins, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 171 | |
| 2 | 2017 | 83 | |
| 3 | 2021 | 61 | |
| 4 | 2019 | 30 | |
| 5 | 2007 | 27 | |
| 6 | 2017 | 25 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 21 | |
| 9 | 2015 | 21 | |
| 10 | 2022 | 20 | |
| 11 | 2018 | 18 | |
| 12 | 2022 | 16 | |
| 13 | 2012 | 15 | |
| 14 | 2007 | 13 | |
| 15 | 2024 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2014 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2025 | 8 | |
| 20 | 2023 | 7 |
About Colm Atkins
Colm Atkins is a scholar working on Infectious Diseases, Neurology, Epidemiology, Immunology and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 616 indexed citations. Recurring topics across this work include Viral Infections and Vectors (9 papers), Viral Infections and Outbreaks Research (6 papers), Mosquito-borne diseases and control (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Virology and Viral Diseases (4 papers), interferon and immune responses (4 papers), Respiratory viral infections research (2 papers) and Bird parasitology and diseases (2 papers). The work is most often cited by research in Developmental Neuroscience (71 citations), Neurology (121 citations), Infectious Diseases (174 citations), Immunology (132 citations) and Virology (29 citations). Colm Atkins has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Alexander N. Freiberg, Brian P. Daniels, Mengmeng Jin, Xiaoxi Li, Andrew J. Boreland, Caroline Erickson, Ranjie Xu, Peng Jiang, Zhiping P. Pang and Ricardo Rajsbaum. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Virology, Journal of Neuroinflammation, PLoS Pathogens and Ornithological Applications.
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.