Martin Deijs
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 19
- SARS-CoV-2 and COVID-19 Research 6
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies 28
- Modeling and Simulation top 2%
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 6
- Immunology top 10%
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- Virus-based gene therapy research 14
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- Respiratory viral infections research 12
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- Bacteriophages and microbial interactions 10
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- Viral Infections and Immunology Research 9
- Co-authors
- Lia van der HoekMaarten F. JebbinkMarta CanutiBas B. Oude MunninkSeyed Mohammad Jazaeri FarsaniA. AmendolaMarianna MartinelliAlessandro Zanetti
- Partner nations
- NetherlandsUnited KingdomBelgium
In The Last Decade
Martin Deijs
50 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Infectious Diseases 1.2k
- Animal Science and Zoology 539
- Modeling and Simulation 146
- Agronomy and Crop Science 155
- Immunology 238
Countries citing papers authored by Martin Deijs
This map shows the geographic impact of Martin Deijs'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 Martin Deijs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Deijs more than expected).
Fields of papers citing papers by Martin Deijs
This network shows the impact of papers produced by Martin Deijs. 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 Martin Deijs. The network helps show where Martin Deijs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Deijs, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 49 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 454 | |
| 15 | 2020 | 42 | |
| 16 | 2018 | 17 | |
| 17 | 2015 | 2 | |
| 18 | 2015 | 95 | |
| 19 | Influenza and Other Respiratory Viruses Involved in Severe Acute Respiratory Disease in Northern Italy during the Pandemic and Postpandemic Period (2009–2011)breakdown → | 2014 | 579 |
| 20 | 2014 | 45 |
About Martin Deijs
Martin Deijs is a scholar working on Animal Science and Zoology, Infectious Diseases and Agronomy and Crop Science, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (28 papers), Viral gastroenteritis research and epidemiology (19 papers), Virus-based gene therapy research (14 papers), Respiratory viral infections research (12 papers), Bacteriophages and microbial interactions (10 papers), Viral Infections and Immunology Research (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Animal Disease Management and Epidemiology (6 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Animal Science and Zoology (539 citations) and Modeling and Simulation (146 citations). Martin Deijs has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Lia van der Hoek, Maarten F. Jebbink, Marta Canuti, Bas B. Oude Munnink, Seyed Mohammad Jazaeri Farsani, A. Amendola, Marianna Martinelli, Alessandro Zanetti, Elisabetta Tanzi and Elena Pariani. Their work appears in journals such as Nature Medicine, Nature Communications and PLoS ONE.
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.