Thea Hogan

582 citations
21 papers · 396 indexed · h-index 11

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

    • Immune Cell Function and Interaction 17
    • T-cell and B-cell Immunology 13
    • Immunotherapy and Immune Responses 7
    • IL-33, ST2, and ILC Pathways 2

Thea Hogan

19 papers receiving 394 citations

Peers

Thea Hogan
Comparison fields: 5 of 67
  • Immunology 294
  • Neurology 22
  • Aging 4
  • Oncology 58
  • Virology 10
Replace Michelle Ratliff with:
Michelle Ratliff United States
Barbara Höllbacher United States
Jeanette Ampudia United States
Yukihisa Sawa Japan
Wangko Lundström Sweden
Dagmar Halbritter Germany
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Maria Yu. Zakharova Russia
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Thea Hogan relative to Michelle Ratliff United States Michelle Ratliff's profile →
Citations per field
00.5×1.5×
Michelle Ratliff · 1×
Citations per year

Countries citing papers authored by Thea Hogan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Thea Hogan Line = papers co-authored together Thea Hogan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20233
4 202214
5 202128
6 201913
7 201828
8 20176
9 20179
10 201757
11 201542
12 20140
13 20145
14 201443
15 201356
16 201329
17 201224
18 20113
19 200810
20 200718

About Thea Hogan

Thea Hogan is a scholar working on Immunology, Neurology, Surgery, Hematology and Molecular Biology, having authored 21 papers that have together received 396 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (7 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Single-cell and spatial transcriptomics (2 papers), Eosinophilic Esophagitis (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Immunology (294 citations), Neurology (22 citations), Aging (4 citations), Oncology (58 citations) and Virology (10 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 Sarah M. Russell. Their work appears in journals such as eLife, PLoS Biology, European Journal of Immunology, Gastroenterology 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.

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