Jan Maarten van Dijl
- Biotechnology top 0.1%
- Genetics top 0.2%
- Bacterial Genetics and Biotechnology 135
- Microbiology top 0.5%
- Endocrinology top 0.5%
- Ecology top 0.5%
- Bacteriophages and microbial interactions 86
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- RNA and protein synthesis mechanisms 63
- Bacterial biofilms and quorum sensing 48
- Biochemical and Structural Characterization 28
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- Antimicrobial Resistance in Staphylococcus 62
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- Enzyme Structure and Function 21
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- Orthopedic Infections and Treatments 17
- Co-authors
- Sierd BronHarold TjalsmaGerard VenemaMichael HeckerAlbert BolhuisJan D.H. JongbloedHaike AntelmannWim J. Quax
- Cited by
- BiotechnologyGeneticsMicrobiology
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Jan Maarten van Dijl
288 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Biotechnology 1.4k
- Genetics 4.2k
- Microbiology 778
- Endocrinology 599
- Ecology 2.8k
Countries citing papers authored by Jan Maarten van Dijl
This map shows the geographic impact of Jan Maarten van Dijl'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 Jan Maarten van Dijl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Maarten van Dijl more than expected).
Fields of papers citing papers by Jan Maarten van Dijl
This network shows the impact of papers produced by Jan Maarten van Dijl. 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 Jan Maarten van Dijl. The network helps show where Jan Maarten van Dijl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan Maarten van Dijl, 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 39 | |
| 12 | 2021 | 43 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 18 | |
| 15 | 2020 | 16 | |
| 16 | 2019 | 6 | |
| 17 | 2017 | 21 | |
| 18 | 2015 | 23 | |
| 19 | 2004 | 155 | |
| 20 | 1993 | 10 |
About Jan Maarten van Dijl
Jan Maarten van Dijl is a scholar working on Genetics, Microbiology and Infectious Diseases, having authored 293 papers that have together received 12.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (135 papers), Bacteriophages and microbial interactions (86 papers), RNA and protein synthesis mechanisms (63 papers), Antimicrobial Resistance in Staphylococcus (62 papers), Bacterial biofilms and quorum sensing (48 papers), Biochemical and Structural Characterization (28 papers), Enzyme Structure and Function (21 papers) and Orthopedic Infections and Treatments (17 papers). The work is most often cited by research in Biotechnology (1.4k citations), Genetics (4.2k citations) and Microbiology (778 citations). Jan Maarten van Dijl has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Sierd Bron, Harold Tjalsma, Gerard Venema, Michael Hecker, Albert Bolhuis, Jan D.H. Jongbloed, Haike Antelmann, Wim J. Quax, Girbe Buist and Hermie J. M. Harmsen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.