J.P. Turkenburg
- Biotechnology top 0.1%
- Enzyme Production and Characterization 26
- Molecular Biology top 1%
- Enzyme Catalysis and Immobilization 19
- Protein Structure and Dynamics 15
- Glycosylation and Glycoproteins Research 12
- Microbial Metabolic Engineering and Bioproduction 12
- Biochemistry top 1%
- Spectroscopy top 1%
- Organic Chemistry top 2%
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- Enzyme Structure and Function 35
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- Biofuel production and bioconversion 16
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- Polysaccharides and Plant Cell Walls 11
- Co-authors
- G.J. DaviesA.M. BrzozowskiGuy DodsonE.J. DodsonZygmunt S. DerewendaDavid M. LawsonEdward J. TaylorSimon J. Charnock
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (9 papers)Journal of the American Chemical Society (3 papers)
- Partner nations
- United KingdomDenmarkCzechia
In The Last Decade
J.P. Turkenburg
120 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Biotechnology 1.4k
- Molecular Biology 5.2k
- Biochemistry 347
- Spectroscopy 598
- Organic Chemistry 1.0k
Countries citing papers authored by J.P. Turkenburg
This map shows the geographic impact of J.P. Turkenburg'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 J.P. Turkenburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.P. Turkenburg more than expected).
Fields of papers citing papers by J.P. Turkenburg
This network shows the impact of papers produced by J.P. Turkenburg. 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 J.P. Turkenburg. The network helps show where J.P. Turkenburg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J.P. Turkenburg, 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 | 2024 | 0 | |
| 3 | 2020 | 10 | |
| 4 | 2019 | 13 | |
| 5 | 2018 | 13 | |
| 6 | 2017 | 18 | |
| 7 | 2016 | 40 | |
| 8 | 2015 | 17 | |
| 9 | 2015 | 10 | |
| 10 | 2014 | 4 | |
| 11 | 2013 | 34 | |
| 12 | 2011 | 31 | |
| 13 | 2010 | 11 | |
| 14 | 2009 | 52 | |
| 15 | 2007 | 120 | |
| 16 | 2004 | 10 | |
| 17 | 1996 | 2 | |
| 18 | 1994 | 26 | |
| 19 | 1993 | 6 | |
| 20 | A model for interfacial activation in lipases from the structure of a fungal lipase-inhibitor complexbreakdown → | 1991 | 1005 |
About J.P. Turkenburg
J.P. Turkenburg is a scholar working on Biotechnology, Molecular Biology and Materials Chemistry, having authored 121 papers that have together received 7.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (35 papers), Enzyme Production and Characterization (26 papers), Enzyme Catalysis and Immobilization (19 papers), Biofuel production and bioconversion (16 papers), Protein Structure and Dynamics (15 papers), Glycosylation and Glycoproteins Research (12 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Polysaccharides and Plant Cell Walls (11 papers). The work is most often cited by research in Biotechnology (1.4k citations), Molecular Biology (5.2k citations) and Biochemistry (347 citations). J.P. Turkenburg has collaborated with scholars based in United Kingdom, Denmark and Czechia. Frequent co-authors include G.J. Davies, A.M. Brzozowski, Guy Dodson, E.J. Dodson, Zygmunt S. Derewenda, David M. Lawson, Edward J. Taylor, Simon J. Charnock, L. Thim and Fredrik Björkling. Their work appears in journals such as Nature, 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.