Philip V’kovski
- Infectious Diseases top 0.5%
- Molecular Biology top 10%
- Immunology top 10%
- Epidemiology top 10%
- Animal Science and Zoology top 2%
- Co-authors
- Volker ThielAnnika KratzelSilvio SteinerHanspeter StalderMario MautheFulvio ReggioriRonald DijkmanStephanie Pfaender
- Topics
- SARS-CoV-2 and COVID-19 Research (10 papers)COVID-19 Clinical Research Studies (5 papers)Animal Virus Infections Studies (5 papers)
- Partner nations
- SwitzerlandGermanyNetherlands
In The Last Decade
Philip V’kovski
17 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Infectious Diseases 2.1k
- Molecular Biology 877
- Immunology 374
- Epidemiology 335
- Animal Science and Zoology 305
Countries citing papers authored by Philip V’kovski
This map shows the geographic impact of Philip V’kovski'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 Philip V’kovski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip V’kovski more than expected).
Fields of papers citing papers by Philip V’kovski
This network shows the impact of papers produced by Philip V’kovski. 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 Philip V’kovski. The network helps show where Philip V’kovski may publish in the future.
Co-authorship network of co-authors of Philip V’kovski
This figure shows the co-authorship network connecting the top 25 collaborators of Philip V’kovski. A scholar is included among the top collaborators of Philip V’kovski 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 Philip V’kovski. Philip V’kovski 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 | 13 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 43 | |
| 6 | 29 | |
| 7 | 21 | |
| 8 | Coronavirus biology and replication: implications for SARS-CoV-2breakdown → | 2028 |
| 9 | 275 | |
| 10 | 66 | |
| 11 | 29 | |
| 12 | Nucleocapsid Protein Recruitment to Replication-Transcription Complexes Plays a Crucial Role in Coronaviral Life Cyclebreakdown → | 265 |
| 13 | 120 | |
| 14 | 15 | |
| 15 | 76 | |
| 16 | 10 | |
| 17 | 19 | |
| 18 | 97 |
About Philip V’kovski
Philip V’kovski is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 18 papers that have together received 3.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (5 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), General Dentistry (62 citations) and Animal Science and Zoology (305 citations). Philip V’kovski has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Volker Thiel, Annika Kratzel, Silvio Steiner, Hanspeter Stalder, Mario Mauthe, Fulvio Reggiori, Ronald Dijkman, Stephanie Pfaender, Nadine Ebert and Hein Schepers. Their work appears in journals such as Nature Reviews Microbiology, Journal of Virology and Scientific Reports.
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.