Bart Ferwerda
- Immunology top 5%
- Immune Response and Inflammation 7
- Immune Cell Function and Interaction 3
- Microbiology top 5%
- Bacterial Infections and Vaccines 7
- Infectious Diseases top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology 3
- Epidemiology top 10%
- Pneumonia and Respiratory Infections 11
- Influenza Virus Research Studies 4
- Pneumocystis jirovecii pneumonia detection and treatment 3
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- Vibrio bacteria research studies 2
- Co-authors
- Mihai G. NeteaBart Jan KullbergAndré van der VenJ.W.M. van der MeerMatthew B. B. McCallSarah A. TishkoffAlain FromentTheo S. Plantinga
- Journals
- American Journal of Tropical Medicine and Hygiene (3 papers)Clinical Infectious Diseases (2 papers)Microbial Genomics (2 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Bart Ferwerda
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 113
- Immunology 523
- Microbiology 108
- Infectious Diseases 278
- Genetics 357
- Epidemiology 441
Countries citing papers authored by Bart Ferwerda
This map shows the geographic impact of Bart Ferwerda'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 Bart Ferwerda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Ferwerda more than expected).
Fields of papers citing papers by Bart Ferwerda
This network shows the impact of papers produced by Bart Ferwerda. 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 Bart Ferwerda. The network helps show where Bart Ferwerda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bart Ferwerda, 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 | 2024 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 27 | |
| 5 | 2021 | 9 | |
| 6 | 2020 | 5 | |
| 7 | 2018 | 4 | |
| 8 | 2016 | 30 | |
| 9 | 2016 | 44 | |
| 10 | 2016 | 80 | |
| 11 | 2016 | 2 | |
| 12 | 2012 | 101 | |
| 13 | 2012 | 204 | |
| 14 | 2010 | 127 | |
| 15 | 2010 | 25 | |
| 16 | 2010 | 35 | |
| 17 | 2009 | 22 | |
| 18 | 2008 | 197 | |
| 19 | 2007 | 60 | |
| 20 | 2005 | 60 |
About Bart Ferwerda
Bart Ferwerda is a scholar working on Microbiology, Epidemiology, Immunology, Endocrinology and Genetics, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (11 papers), Bacterial Infections and Vaccines (7 papers), Immune Response and Inflammation (7 papers), Influenza Virus Research Studies (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Genetic Associations and Epidemiology (3 papers), Immune Cell Function and Interaction (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Immunology (523 citations), Microbiology (108 citations), Infectious Diseases (278 citations), Genetics (357 citations) and Epidemiology (441 citations). Bart Ferwerda has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Mihai G. Netea, Bart Jan Kullberg, André van der Ven, J.W.M. van der Meer, Matthew B. B. McCall, Sarah A. Tishkoff, Alain Froment, Theo S. Plantinga, Clara C. Elbers and Diederik van de Beek. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Clinical Infectious Diseases, Microbial Genomics, PLoS ONE and Acta Neuropathologica 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.