Thomas Hamelryck
Impact in
- Molecular Biology top 1%
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Machine Learning in Bioinformatics
- Immunology top 5%
Papers in
-
- Protein Structure and Dynamics 33
- RNA and protein synthesis mechanisms 12
- Glycosylation and Glycoproteins Research 11
- Machine Learning in Bioinformatics 6
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- Enzyme Structure and Function 20
- Co-authors
- Bartek WilczyńskiPeter CockJeffrey T. ChangBrad ChapmanAndrew DalkeCymon J. CoxFrank KauffIddo Friedberg
- Journals
- Proteins Structure Function and Bioinformatics (5 papers)BMC Bioinformatics (5 papers)Journal of Molecular Biology (5 papers)Journal of Biological Chemistry (4 papers)Bioinformatics (3 papers)
- Partner nations
- DenmarkUnited KingdomBelgium
In The Last Decade
Thomas Hamelryck
54 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Molecular Biology 4.5k
- Immunology 530
- Computational Theory and Mathematics 373
- Biotechnology 202
- Endocrinology 114
Countries citing papers authored by Thomas Hamelryck
This map shows the geographic impact of Thomas Hamelryck'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 Thomas Hamelryck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hamelryck more than expected).
Fields of papers citing papers by Thomas Hamelryck
This network shows the impact of papers produced by Thomas Hamelryck. 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 Thomas Hamelryck. The network helps show where Thomas Hamelryck may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Hamelryck, 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 | 6 | |
| 2 | 2015 | 46 | |
| 3 | 2013 | 42 | |
| 4 | 2012 | 7 | |
| 5 | 2011 | 14 | |
| 6 | 2010 | 52 | |
| 7 | 2010 | 11 | |
| 8 | 2010 | 42 | |
| 9 | 2010 | 39 | |
| 10 | 2009 | 73 | |
| 11 | 2007 | 39 | |
| 12 | 2006 | 7 | |
| 13 | 2005 | 20 | |
| 14 | 2005 | 122 | |
| 15 | 2003 | 183 | |
| 16 | 2000 | 38 | |
| 17 | 1999 | 54 | |
| 18 | 1999 | 59 | |
| 19 | 1998 | 18 | |
| 20 | 1996 | 29 |
About Thomas Hamelryck
Thomas Hamelryck is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Spectroscopy and Immunology, having authored 55 papers that have together received 5.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (33 papers), Enzyme Structure and Function (20 papers), RNA and protein synthesis mechanisms (12 papers), Glycosylation and Glycoproteins Research (11 papers), Carbohydrate Chemistry and Synthesis (8 papers), Machine Learning in Bioinformatics (6 papers), Computational Drug Discovery Methods (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Immunology (530 citations), Computational Theory and Mathematics (373 citations), Biotechnology (202 citations) and Endocrinology (114 citations). Thomas Hamelryck has collaborated with scholars based in Denmark, United Kingdom and Belgium. Frequent co-authors include Bartek Wilczyński, Peter Cock, Jeffrey T. Chang, Brad Chapman, Andrew Dalke, Cymon J. Cox, Frank Kauff, Iddo Friedberg, Tiago Antão and Michiel de Hoon. Their work appears in journals such as Proteins Structure Function and Bioinformatics, BMC Bioinformatics, Journal of Molecular Biology, Journal of Biological Chemistry and Bioinformatics.
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.