Michiel van Gent
- Immunology top 5%
- Molecular Biology
- Infectious Diseases top 5%
- Oncology top 10%
- Epidemiology top 10%
- Co-authors
- Michaela U. GackKonstantin M. J. SparrerMaaike E. RessingEmmanuel J. H. J. WiertzJessica J. ChiangIngrid G. J. BoerMarjolein J. G. HooykaasNikolaus Osterrieder
- Topics
- Cytomegalovirus and herpesvirus research (9 papers)interferon and immune responses (7 papers)Herpesvirus Infections and Treatments (6 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Michiel van Gent
22 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Immunology 785
- Molecular Biology 504
- Infectious Diseases 375
- Oncology 354
- Epidemiology 349
Countries citing papers authored by Michiel van Gent
This map shows the geographic impact of Michiel van Gent'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 Michiel van Gent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michiel van Gent more than expected).
Fields of papers citing papers by Michiel van Gent
This network shows the impact of papers produced by Michiel van Gent. 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 Michiel van Gent. The network helps show where Michiel van Gent may publish in the future.
Co-authorship network of co-authors of Michiel van Gent
This figure shows the co-authorship network connecting the top 25 collaborators of Michiel van Gent. A scholar is included among the top collaborators of Michiel van Gent based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michiel van Gent. Michiel van Gent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 38 | |
| 8 | ISG15-dependent activation of the sensor MDA5 is antagonized by the SARS-CoV-2 papain-like protease to evade host innate immunitybreakdown → | 206 |
| 9 | 19 | |
| 10 | 10 | |
| 11 | 42 | |
| 12 | 42 | |
| 13 | 188 | |
| 14 | 80 | |
| 15 | 117 | |
| 16 | 25 | |
| 17 | 117 | |
| 18 | 75 | |
| 19 | 133 | |
| 20 | Intrauterine infection and cord immunoglobulin M. I. Analysis of methods of assay and levels of immunoglobulin M in normal newborns. | 9 |
About Michiel van Gent
Michiel van Gent is a scholar working on Immunology, Epidemiology and Infectious Diseases, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (9 papers), interferon and immune responses (7 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Immunology (785 citations), Infectious Diseases (375 citations) and Oncology (354 citations). Michiel van Gent has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Michaela U. Gack, Konstantin M. J. Sparrer, Maaike E. Ressing, Emmanuel J. H. J. Wiertz, Jessica J. Chiang, Ingrid G. J. Boer, Marjolein J. G. Hooykaas, Nikolaus Osterrieder, Teng Huang and Karl‐Peter Hopfner. Their work appears in journals such as Nature Communications, Nature Immunology and The Journal of Immunology.
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.