Thomas Fabre
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Hepatitis C virus research
- Liver Diseases and Immunity
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- IL-33, ST2, and ILC Pathways
Papers in
-
- IL-33, ST2, and ILC Pathways 2
- Psoriasis: Treatment and Pathogenesis 2
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- Cancer Cells and Metastasis 2
- Co-authors
- Naglaa H. Shoukry (9 shared papers)Hassen Kared (2 shared papers)Scott L. Friedman (1 shared paper)Julie Bruneau (2 shared papers)Nathalie Bédard (1 shared paper)Manuel Flores Molina (5 shared papers)Geneviève Soucy (3 shared papers)Marc Bilodeau (3 shared papers)
- Journals
- Science Immunology (2 papers)Journal of Visualized Experiments (2 papers)The Journal of Immunology (2 papers)Cytokine (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Thomas Fabre
10 papers receiving 653 citations
Thomas Fabre's Hit Papers
Peers
Comparison fields: 5 of 69
- Hepatology 218
- Immunology 297
- Epidemiology 262
- Virology 21
- Oncology 76
Countries citing papers authored by Thomas Fabre
This map shows the geographic impact of Thomas Fabre'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 Thomas Fabre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Fabre more than expected).
Fields of papers citing papers by Thomas Fabre
This network shows the impact of papers produced by Thomas Fabre. 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 Thomas Fabre. The network helps show where Thomas Fabre may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Fabre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identification of a broadly fibrogenic macrophage subset induced by type 3 inflammation Hit paper breakdown → | 2023 | 157 |
| 2 | 2013 | 119 | |
| 3 | 2018 | 117 | |
| 4 | 2014 | 109 | |
| 5 | 2017 | 108 | |
| 6 | 2018 | 28 | |
| 7 | 2020 | 9 | |
| 8 | 2013 | 6 | |
| 9 | 2020 | 2 | |
| 10 | 2017 | 2 |
About Thomas Fabre
Thomas Fabre is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Hepatology, having authored 10 papers that have together received 657 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Cancer Cells and Metastasis (2 papers), Liver physiology and pathology (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). The work is most often cited by research in Hepatology (218 citations), Immunology (297 citations), Epidemiology (262 citations), Virology (21 citations) and Oncology (76 citations). Thomas Fabre has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Naglaa H. Shoukry, Hassen Kared, Scott L. Friedman, Julie Bruneau, Nathalie Bédard, Manuel Flores Molina, Geneviève Soucy, Marc Bilodeau, Bernard Willems and Thomas A. Wynn. Their work appears in journals such as Science Immunology, Journal of Visualized Experiments, The Journal of Immunology, Cytokine and Science Translational Medicine.
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.