Thomas Rose
Impact in
- Microbiology top 2%
- Microbial infections and disease research
- Ecology top 5%
- Bacteriophages and microbial interactions
Papers in ⓘ
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- Business Process Modeling and Analysis 20
- Software 7
- Co-authors
- Gilbert Verbeken (16 shared papers)Jean‐Paul Pirnay (16 shared papers)Serge Jennes (16 shared papers)Daniël De Vos (13 shared papers)Matthias Jarke (22 shared papers)Mario Vaneechoutte (4 shared papers)Martin Zizi (5 shared papers)Rob Lavigne (3 shared papers)
In The Last Decade
Thomas Rose
133 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 168
- Microbiology 282
- Ecology 626
- Rheumatology 349
- Molecular Medicine 80
- Immunology 326
Countries citing papers authored by Thomas Rose
This map shows the geographic impact of Thomas Rose'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 Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Rose more than expected).
Fields of papers citing papers by Thomas Rose
This network shows the impact of papers produced by Thomas Rose. 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 Rose. The network helps show where Thomas Rose may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Rose, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 392 | |
| 2 | Experimental phage therapy of burn wound infection: difficult first steps. | 2014 | 166 |
| 3 | 2012 | 108 | |
| 4 | 2012 | 59 | |
| 5 | 2017 | 57 | |
| 6 | 2013 | 48 | |
| 7 | 2017 | 47 | |
| 8 | 2011 | 43 | |
| 9 | 2016 | 43 | |
| 10 | 2017 | 40 | |
| 11 | 2017 | 37 | |
| 12 | 2013 | 36 | |
| 13 | 1990 | 32 | |
| 14 | 2011 | 31 | |
| 15 | 2020 | 31 | |
| 16 | 2009 | 28 | |
| 17 | 2010 | 28 | |
| 18 | 2020 | 28 | |
| 19 | 2020 | 27 | |
| 20 | What is the clinical significance of anti-Sm antibodies in systemic lupus erythematosus? A comparison with anti-dsDNA antibodies and C3. | 2017 | 26 |
About Thomas Rose
Thomas Rose is a scholar working on Management Information Systems, Software, Information Systems, Rheumatology and Management of Technology and Innovation, having authored 142 papers that have together received 2.1k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (20 papers), Service-Oriented Architecture and Web Services (15 papers), Systemic Lupus Erythematosus Research (15 papers), Advanced Software Engineering Methodologies (10 papers), Semantic Web and Ontologies (9 papers), Advanced Database Systems and Queries (9 papers), T-cell and B-cell Immunology (9 papers) and Blockchain Technology Applications and Security (9 papers). The work is most often cited by research in Microbiology (282 citations), Ecology (626 citations), Rheumatology (349 citations), Molecular Medicine (80 citations) and Immunology (326 citations). Thomas Rose has collaborated with scholars based in Germany, Belgium and Canada. Frequent co-authors include Gilbert Verbeken, Jean‐Paul Pirnay, Serge Jennes, Daniël De Vos, Matthias Jarke, Mario Vaneechoutte, Martin Zizi, Rob Lavigne, Thomas Dörner and Maya Merabishvili. Their work appears in journals such as Applied Microbiology and Biotechnology, Annals of the Rheumatic Diseases, Lara D. Veeken, Frontiers in Immunology and Burns.
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.