Scott J. Tebbutt
Impact in
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- Antifungal resistance and susceptibility
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Gene expression and cancer classification 11
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- Cystic Fibrosis Research Advances 19
- Neonatal Respiratory Health Research 8
- Co-authors
- Casey P. Shannon (33 shared papers)Amrit Singh (28 shared papers)Kim‐Anh Lê Cao (3 shared papers)Michaël Vacher (1 shared paper)Benoît Gautier (1 shared paper)Florian Rohart (1 shared paper)A.K. Kakkar (2 shared papers)R C Williamson (3 shared papers)
- Journals
- PLoS ONE (12 papers)Bioinformatics (4 papers)BMC Genomics (3 papers)Frontiers in Immunology (3 papers)BMC Bioinformatics (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Scott J. Tebbutt
126 papers receiving 3.4k citations
Scott J. Tebbutt's Hit Papers
Peers
Comparison fields: 5 of 148
- Internal Medicine 199
- Infectious Diseases 483
- Hematology 235
- Cancer Research 285
- Transplantation 50
Countries citing papers authored by Scott J. Tebbutt
This map shows the geographic impact of Scott J. Tebbutt'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 Scott J. Tebbutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott J. Tebbutt more than expected).
Fields of papers citing papers by Scott J. Tebbutt
This network shows the impact of papers produced by Scott J. Tebbutt. 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 Scott J. Tebbutt. The network helps show where Scott J. Tebbutt may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott J. Tebbutt, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays Hit paper breakdown → | 2019 | 606 |
| 2 | 2020 | 277 | |
| 3 | 1995 | 186 | |
| 4 | 1995 | 160 | |
| 5 | 2016 | 108 | |
| 6 | 1992 | 93 | |
| 7 | 1994 | 85 | |
| 8 | 2014 | 81 | |
| 9 | 2013 | 78 | |
| 10 | 2016 | 75 | |
| 11 | 2016 | 63 | |
| 12 | 2011 | 62 | |
| 13 | 2014 | 62 | |
| 14 | 2023 | 59 | |
| 15 | 2017 | 49 | |
| 16 | 1999 | 49 | |
| 17 | 2016 | 48 | |
| 18 | 2010 | 40 | |
| 19 | 2023 | 38 | |
| 20 | 2012 | 37 |
About Scott J. Tebbutt
Scott J. Tebbutt is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases, Physiology and Immunology, having authored 131 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (19 papers), Gene expression and cancer classification (11 papers), Asthma and respiratory diseases (11 papers), Transplantation: Methods and Outcomes (8 papers), Neonatal Respiratory Health Research (8 papers), Renal Transplantation Outcomes and Treatments (6 papers), Antifungal resistance and susceptibility (6 papers) and Allergic Rhinitis and Sensitization (5 papers). The work is most often cited by research in Internal Medicine (199 citations), Infectious Diseases (483 citations), Hematology (235 citations), Cancer Research (285 citations) and Transplantation (50 citations). Scott J. Tebbutt has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Casey P. Shannon, Amrit Singh, Kim‐Anh Lê Cao, Michaël Vacher, Benoît Gautier, Florian Rohart, A.K. Kakkar, R C Williamson, Nicholas R. Lemoine and Margo M. Moore. Their work appears in journals such as PLoS ONE, Bioinformatics, BMC Genomics, Frontiers in Immunology and BMC Bioinformatics.
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.