Marjolein Kikkert
- Infectious Diseases top 0.5%
- Molecular Biology top 5%
- Immunology top 2%
- Animal Science and Zoology top 0.5%
- Cell Biology top 1%
- Co-authors
- Eric J. SnijderEmmanuel J. H. J. WiertzAbraham J. KosterJessika C. Zevenhoven-DobbeYvonne van der MeerYīng FāngSjaak van VoordenSjoerd H. E. van den Worm
- Topics
- interferon and immune responses (22 papers)SARS-CoV-2 and COVID-19 Research (17 papers)Animal Virus Infections Studies (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
Marjolein Kikkert
67 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Infectious Diseases 2.6k
- Molecular Biology 1.9k
- Immunology 1.1k
- Animal Science and Zoology 1.0k
- Cell Biology 970
Countries citing papers authored by Marjolein Kikkert
This map shows the geographic impact of Marjolein Kikkert'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 Marjolein Kikkert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjolein Kikkert more than expected).
Fields of papers citing papers by Marjolein Kikkert
This network shows the impact of papers produced by Marjolein Kikkert. 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 Marjolein Kikkert. The network helps show where Marjolein Kikkert may publish in the future.
Co-authorship network of co-authors of Marjolein Kikkert
This figure shows the co-authorship network connecting the top 25 collaborators of Marjolein Kikkert. A scholar is included among the top collaborators of Marjolein Kikkert 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 Marjolein Kikkert. Marjolein Kikkert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 146 | |
| 11 | 66 | |
| 12 | 34 | |
| 13 | 97 | |
| 14 | SARS-Coronavirus Replication Is Supported by a Reticulovesicular Network of Modified Endoplasmic Reticulumbreakdown → | 772 |
| 15 | 299 | |
| 16 | 38 | |
| 17 | 315 | |
| 18 | 45 | |
| 19 | Analyses of NSM as plant virus movement protein of tomato spotted wilt virus (TSWV). | 1 |
| 20 | 146 |
About Marjolein Kikkert
Marjolein Kikkert is a scholar working on Animal Science and Zoology, Infectious Diseases and Immunology, having authored 69 papers that have together received 5.7k indexed citations. Recurring topics across this work include interferon and immune responses (22 papers), SARS-CoV-2 and COVID-19 Research (17 papers) and Animal Virus Infections Studies (16 papers). The work is most often cited by research in Infectious Diseases (2.6k citations), Animal Science and Zoology (1.0k citations) and Cell Biology (970 citations). Marjolein Kikkert has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Eric J. Snijder, Emmanuel J. H. J. Wiertz, Abraham J. Koster, Jessika C. Zevenhoven-Dobbe, Yvonne van der Meer, Yīng Fāng, Sjaak van Voorden, Sjoerd H. E. van den Worm, Kèvin Knoops and A. Mieke Mommaas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.