Daniela Bezemer
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 2%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS Research and Interventions 18
- HIV/AIDS drug development and treatment 8
- Virology 18
- HIV Research and Treatment 18
- Co-authors
- Ard van Sighem (16 shared papers)Christophe Fraser (12 shared papers)Frank de Wolf (7 shared papers)Luuk Gras (6 shared papers)Maarten C. Boerlijst (3 shared papers)Roel A. Coutinho (4 shared papers)Peter Reiss (7 shared papers)T. Déirdre Hollingsworth (2 shared papers)
- Journals
- AIDS (6 papers)PLoS ONE (3 papers)AIDS Research and Human Retroviruses (2 papers)Epidemics (1 paper)Virus Research (1 paper)
- Partner nations
- NetherlandsUnited KingdomGreece
In The Last Decade
Daniela Bezemer
21 papers receiving 703 citations
Peers
Comparison fields: 5 of 72
- Virology 390
- Infectious Diseases 560
- Epidemiology 396
- Hepatology 38
- General Health Professions 98
Countries citing papers authored by Daniela Bezemer
This map shows the geographic impact of Daniela Bezemer'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 Daniela Bezemer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Bezemer more than expected).
Fields of papers citing papers by Daniela Bezemer
This network shows the impact of papers produced by Daniela Bezemer. 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 Daniela Bezemer. The network helps show where Daniela Bezemer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Bezemer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 129 | |
| 2 | 2016 | 84 | |
| 3 | 2015 | 81 | |
| 4 | 2009 | 69 | |
| 5 | 2012 | 59 | |
| 6 | 2010 | 44 | |
| 7 | 2007 | 38 | |
| 8 | 2009 | 37 | |
| 9 | 2013 | 32 | |
| 10 | 2015 | 30 | |
| 11 | 2010 | 20 | |
| 12 | 2016 | 17 | |
| 13 | 2013 | 13 | |
| 14 | 2013 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2008 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 3 |
About Daniela Bezemer
Daniela Bezemer is a scholar working on Infectious Diseases, Virology, Epidemiology, Molecular Biology and Sociology and Political Science, having authored 22 papers that have together received 717 indexed citations. Recurring topics across this work include HIV Research and Treatment (18 papers), HIV/AIDS Research and Interventions (18 papers), HIV, Drug Use, Sexual Risk (10 papers), HIV/AIDS drug development and treatment (8 papers), Genomics and Phylogenetic Studies (3 papers), Complex Network Analysis Techniques (1 paper), Plant and animal studies (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Virology (390 citations), Infectious Diseases (560 citations), Epidemiology (396 citations), Hepatology (38 citations) and General Health Professions (98 citations). Daniela Bezemer has collaborated with scholars based in Netherlands, United Kingdom and Greece. Frequent co-authors include Ard van Sighem, Christophe Fraser, Frank de Wolf, Luuk Gras, Maarten C. Boerlijst, Roel A. Coutinho, Peter Reiss, T. Déirdre Hollingsworth, Oliver Ratmann and Suzanne Jurriaans. Their work appears in journals such as AIDS, PLoS ONE, AIDS Research and Human Retroviruses, Epidemics and Virus Research.
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.