R.H.A. Folmer
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- Computational Drug Discovery Methods 6
- Molecular Biology top 10%
- Protein Structure and Dynamics 11
- DNA and Nucleic Acid Chemistry 3
- RNA and protein synthesis mechanisms 3
- Biochemistry top 5%
- Pharmacology top 10%
- Spectroscopy top 10%
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- Bacteriophages and microbial interactions 11
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- Enzyme Structure and Function 10
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- Monoclonal and Polyclonal Antibodies Research 6
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- Bacterial Genetics and Biotechnology 5
- Co-authors
- Michaël NilgesRuud N.H. KoningsCornelis W. HilbersAlexander L. BreezePaul J. M. FolkersR.N.H. KoningsFredrik EdfeldtNiklas Blomberg
- Journals
- European Journal of Biochemistry (4 papers)Drug Discovery Today (3 papers)Journal of Molecular Biology (3 papers)
- Partner nations
- SwedenNetherlandsGermany
In The Last Decade
R.H.A. Folmer
28 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 292
- Molecular Biology 1.2k
- Biochemistry 94
- Pharmacology 146
- Spectroscopy 130
Countries citing papers authored by R.H.A. Folmer
This map shows the geographic impact of R.H.A. Folmer'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 R.H.A. Folmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.H.A. Folmer more than expected).
Fields of papers citing papers by R.H.A. Folmer
This network shows the impact of papers produced by R.H.A. Folmer. 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 R.H.A. Folmer. The network helps show where R.H.A. Folmer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R.H.A. Folmer, 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 | 2019 | 86 | |
| 2 | 2017 | 46 | |
| 3 | 2016 | 4 | |
| 4 | 2016 | 33 | |
| 5 | 2011 | 143 | |
| 6 | 2007 | 115 | |
| 7 | 2007 | 91 | |
| 8 | 2005 | 2 | |
| 9 | 2001 | 282 | |
| 10 | 2001 | 30 | |
| 11 | 2000 | 3 | |
| 12 | 1999 | 22 | |
| 13 | 1998 | 62 | |
| 14 | 1997 | 101 | |
| 15 | 1996 | 6 | |
| 16 | 1995 | 32 | |
| 17 | 1995 | 6 | |
| 18 | 1994 | 23 | |
| 19 | 1994 | 73 | |
| 20 | 1994 | 53 |
About R.H.A. Folmer
R.H.A. Folmer is a scholar working on Ecology, Computational Theory and Mathematics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Bacteriophages and microbial interactions (11 papers), Enzyme Structure and Function (10 papers), Computational Drug Discovery Methods (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Bacterial Genetics and Biotechnology (5 papers), DNA and Nucleic Acid Chemistry (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (292 citations), Molecular Biology (1.2k citations), Biochemistry (94 citations), Pharmacology (146 citations) and Spectroscopy (130 citations). R.H.A. Folmer has collaborated with scholars based in Sweden, Netherlands and Germany. Frequent co-authors include Michaël Nilges, Ruud N.H. Konings, Cornelis W. Hilbers, Alexander L. Breeze, Paul J. M. Folkers, R.N.H. Konings, Fredrik Edfeldt, Niklas Blomberg, C. W. Hilbers and Krister Bamberg. Their work appears in journals such as European Journal of Biochemistry, Drug Discovery Today, Journal of Molecular Biology, Journal of Biomolecular NMR and Journal of Medicinal Chemistry.
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.