Maikel Boot
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 detection and testing
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- Tuberculosis Research and Epidemiology 8
-
- Mycobacterium research and diagnosis 9
- Co-authors
- Wilbert Bitter (7 shared papers)E. Hesper Rego (2 shared papers)Shu-Jung Chang (1 shared paper)Marı́a Lara-Tejero (1 shared paper)Weiwei Wang (1 shared paper)Lin Shao (1 shared paper)Hui Sun (1 shared paper)TuKiet T. Lam (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Immunology (1 paper)Emerging infectious diseases (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Cellular Microbiology (1 paper)
- Partner nations
- NetherlandsUnited StatesSpain
In The Last Decade
Maikel Boot
17 papers receiving 415 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 170
- Virology 39
- General Dentistry 12
- Molecular Medicine 39
- Immunology 106
Countries citing papers authored by Maikel Boot
This map shows the geographic impact of Maikel Boot'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 Maikel Boot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maikel Boot more than expected).
Fields of papers citing papers by Maikel Boot
This network shows the impact of papers produced by Maikel Boot. 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 Maikel Boot. The network helps show where Maikel Boot may publish in the future.
Co-authors
The 25 scholars most cited alongside Maikel Boot, 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 | 2020 | 121 | |
| 2 | 2018 | 53 | |
| 3 | 2021 | 51 | |
| 4 | 2011 | 47 | |
| 5 | 2019 | 29 | |
| 6 | 2016 | 22 | |
| 7 | 2017 | 19 | |
| 8 | 2017 | 17 | |
| 9 | 2018 | 16 | |
| 10 | 2016 | 14 | |
| 11 | 2015 | 11 | |
| 12 | 2013 | 9 | |
| 13 | 2013 | 7 | |
| 14 | 2024 | 3 | |
| 15 | 2019 | 2 | |
| 16 | 1977 | 1 | |
| 17 | 1974 | 1 | |
| 18 | 1978 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 1983 | 0 |
About Maikel Boot
Maikel Boot is a scholar working on Infectious Diseases, Epidemiology, Virology, Immunology and Management Science and Operations Research, having authored 20 papers that have together received 425 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (9 papers), Tuberculosis Research and Epidemiology (8 papers), Topic Modeling (3 papers), Bacterial Genetics and Biotechnology (2 papers), Immunotherapy and Immune Responses (2 papers), Bacteriophages and microbial interactions (2 papers), Natural Language Processing Techniques (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Infectious Diseases (170 citations), Virology (39 citations), General Dentistry (12 citations), Molecular Medicine (39 citations) and Immunology (106 citations). Maikel Boot has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Wilbert Bitter, E. Hesper Rego, Shu-Jung Chang, Marı́a Lara-Tejero, Weiwei Wang, Lin Shao, Hui Sun, TuKiet T. Lam, Jorge E. Galán and Thijs van Montfort. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Emerging infectious diseases, Antimicrobial Agents and Chemotherapy and Cellular Microbiology.
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.