Maarten Koot
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 11
- HIV Research and Treatment 11
-
- HIV/AIDS drug development and treatment 5
- HIV/AIDS Research and Interventions 3
- Co-authors
- Frank Miedema (8 shared papers)Matthijs Tersmette (2 shared papers)Hanneke Schuitemaker (4 shared papers)Fokke G. Terpstra (1 shared paper)R. E. Y. de Goede (1 shared paper)Roel A. Coutinho (1 shared paper)M. W. Dercksen (1 shared paper)René Keet (1 shared paper)
- Journals
- AIDS (6 papers)Virology (2 papers)Immunological Reviews (1 paper)Journal of Immunotherapy (1 paper)Clinica Chimica Acta (1 paper)
- Partner nations
- NetherlandsUnited StatesEthiopia
In The Last Decade
Maarten Koot
20 papers receiving 2.0k citations
Maarten Koot's Hit Papers
Peers
Comparison fields: 5 of 70
- Virology 1.6k
- Infectious Diseases 997
- Immunology 601
- Hepatology 111
- Epidemiology 418
Countries citing papers authored by Maarten Koot
This map shows the geographic impact of Maarten Koot'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 Maarten Koot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten Koot more than expected).
Fields of papers citing papers by Maarten Koot
This network shows the impact of papers produced by Maarten Koot. 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 Maarten Koot. The network helps show where Maarten Koot may publish in the future.
Co-authors
The 25 scholars most cited alongside Maarten Koot, 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 | Prognostic Value of HIV-1 Syncytium-Inducing Phenotype for Rate of CD4+ Cell Depletion and Progression to AIDS Hit paper breakdown → | 1993 | 630 |
| 2 | 1992 | 301 | |
| 3 | 1993 | 196 | |
| 4 | 1994 | 147 | |
| 5 | 1994 | 124 | |
| 6 | 1993 | 121 | |
| 7 | 1992 | 79 | |
| 8 | 1997 | 74 | |
| 9 | 2013 | 64 | |
| 10 | 1994 | 48 | |
| 11 | 1995 | 43 | |
| 12 | 2000 | 37 | |
| 13 | 2017 | 37 | |
| 14 | 1998 | 35 | |
| 15 | 1986 | 32 | |
| 16 | 2014 | 23 | |
| 17 | 1994 | 22 | |
| 18 | 1994 | 12 | |
| 19 | 2014 | 6 | |
| 20 | 1994 | 1 |
About Maarten Koot
Maarten Koot is a scholar working on Virology, Infectious Diseases, Epidemiology, Immunology and Molecular Biology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), HIV/AIDS drug development and treatment (5 papers), HIV/AIDS Research and Interventions (3 papers), Immune Cell Function and Interaction (3 papers), Hepatitis B Virus Studies (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Carbohydrate Chemistry and Synthesis (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Virology (1.6k citations), Infectious Diseases (997 citations), Immunology (601 citations), Hepatology (111 citations) and Epidemiology (418 citations). Maarten Koot has collaborated with scholars based in Netherlands, United States and Ethiopia. Frequent co-authors include Frank Miedema, Matthijs Tersmette, Hanneke Schuitemaker, Fokke G. Terpstra, R. E. Y. de Goede, Roel A. Coutinho, M. W. Dercksen, René Keet, Ron A. M. Fouchier and Angélique B. van ’t Wout. Their work appears in journals such as AIDS, Virology, Immunological Reviews, Journal of Immunotherapy and Clinica Chimica Acta.
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.