Geert‐Jan Boons
Impact in
- Organic Chemistry top 0.05%
- Carbohydrate Chemistry and Synthesis
- Click Chemistry and Applications
- Molecular Biology top 0.1%
- Glycosylation and Glycoproteins Research
- Chemical Synthesis and Analysis
Papers in
-
- Carbohydrate Chemistry and Synthesis 243
- Click Chemistry and Applications 28
-
- Glycosylation and Glycoproteins Research 264
- Chemical Synthesis and Analysis 55
- Co-authors
- Margreet A. WolfertTherese BuskasAlexei V. DemchenkoJun GuoThomas J. BoltjeXinghai NingSampat IngaleTong Zhu
- Journals
- Journal of the American Chemical Society (38 papers)Chemistry - A European Journal (27 papers)Tetrahedron Letters (23 papers)Angewandte Chemie International Edition (22 papers)ChemBioChem (17 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Geert‐Jan Boons
438 papers receiving 19.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Organic Chemistry 11.5k
- Molecular Biology 14.1k
- Biotechnology 1.2k
- Immunology 2.7k
- Cell Biology 1.8k
Countries citing papers authored by Geert‐Jan Boons
This map shows the geographic impact of Geert‐Jan Boons'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 Geert‐Jan Boons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geert‐Jan Boons more than expected).
Fields of papers citing papers by Geert‐Jan Boons
This network shows the impact of papers produced by Geert‐Jan Boons. 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 Geert‐Jan Boons. The network helps show where Geert‐Jan Boons may publish in the future.
Co-authors
The 25 scholars most cited alongside Geert‐Jan Boons, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 40 | |
| 12 | 2020 | 49 | |
| 13 | 2020 | 24 | |
| 14 | 2019 | 46 | |
| 15 | 2019 | 3 | |
| 16 | 2019 | 12 | |
| 17 | 2016 | 88 | |
| 18 | 2013 | 258 | |
| 19 | 2011 | 15 | |
| 20 | 2006 | 82 |
About Geert‐Jan Boons
Geert‐Jan Boons is a scholar working on Organic Chemistry, Molecular Biology, Cell Biology, Microbiology and Biotechnology, having authored 446 papers that have together received 20.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (264 papers), Carbohydrate Chemistry and Synthesis (243 papers), Proteoglycans and glycosaminoglycans research (56 papers), Chemical Synthesis and Analysis (55 papers), Monoclonal and Polyclonal Antibodies Research (53 papers), Influenza Virus Research Studies (32 papers), Click Chemistry and Applications (28 papers) and Enzyme Production and Characterization (25 papers). The work is most often cited by research in Organic Chemistry (11.5k citations), Molecular Biology (14.1k citations), Biotechnology (1.2k citations), Immunology (2.7k citations) and Cell Biology (1.8k citations). Geert‐Jan Boons has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Margreet A. Wolfert, Therese Buskas, Alexei V. Demchenko, Jun Guo, Thomas J. Boltje, Xinghai Ning, Sampat Ingale, Tong Zhu, Jin Hwan Kim and Ngalle Eric Mbua. Their work appears in journals such as Journal of the American Chemical Society, Chemistry - A European Journal, Tetrahedron Letters, Angewandte Chemie International Edition and ChemBioChem.
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.