Thea Hogan
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
-
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Immunology 17
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 7
- IL-33, ST2, and ILC Pathways 2
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- Single-cell and spatial transcriptomics 2
- Co-authors
- Benedict Seddon (15 shared papers)Andrew J. Yates (12 shared papers)Ian R. van Driel (5 shared papers)Paul A. Gleeson (4 shared papers)Daniel Cownden (2 shared papers)Sanket Rane (3 shared papers)Ellen M. Ross (1 shared paper)Dorothée Bourges (1 shared paper)
- Journals
- eLife (3 papers)European Journal of Immunology (2 papers)PLoS Biology (2 papers)Mathematical Biosciences (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Thea Hogan
20 papers receiving 400 citations
Peers
Comparison fields: 5 of 68
- Immunology 284
- Neurology 21
- Aging 4
- Oncology 55
- Virology 9
Countries citing papers authored by Thea Hogan
This map shows the geographic impact of Thea Hogan'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 Thea Hogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thea Hogan more than expected).
Fields of papers citing papers by Thea Hogan
This network shows the impact of papers produced by Thea Hogan. 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 Thea Hogan. The network helps show where Thea Hogan may publish in the future.
Co-authors
The 25 scholars most cited alongside Thea Hogan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 57 | |
| 2 | 2013 | 56 | |
| 3 | 2014 | 43 | |
| 4 | 2015 | 42 | |
| 5 | 2021 | 31 | |
| 6 | 2013 | 29 | |
| 7 | 2018 | 29 | |
| 8 | 2012 | 24 | |
| 9 | 2007 | 18 | |
| 10 | 2022 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2008 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2017 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2023 | 3 | |
| 18 | 2011 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 1 |
About Thea Hogan
Thea Hogan is a scholar working on Immunology, Molecular Biology, Surgery, Pathology and Forensic Medicine and Neurology, having authored 21 papers that have together received 402 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (7 papers), Single-cell and spatial transcriptomics (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Eosinophilic Esophagitis (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (284 citations), Neurology (21 citations), Aging (4 citations), Oncology (55 citations) and Virology (9 citations). Thea Hogan has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Benedict Seddon, Andrew J. Yates, Ian R. van Driel, Paul A. Gleeson, Daniel Cownden, Sanket Rane, Ellen M. Ross, Dorothée Bourges, Desmond K. Y. Ang and David M. Tarlinton. Their work appears in journals such as eLife, European Journal of Immunology, PLoS Biology, Mathematical Biosciences and Nature Communications.
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.