P. Terpstra
Impact in
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism
- Pollution top 2%
- Microbial bioremediation and biosurfactants
Papers in
-
- RNA modifications and cancer 9
- RNA and protein synthesis mechanisms 7
- Protein Structure and Dynamics 4
- Mitochondrial Function and Pathology 4
- Gene expression and cancer classification 3
- Genetics 10
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Rik K. Wierenga (1 shared paper)Wim G. J. Hol (1 shared paper)Bernard Witholt (5 shared papers)Dick B. Janssen (2 shared papers)Bert Kazemier (3 shared papers)Ronald A. Butow (2 shared papers)Henk Engel (1 shared paper)Gerrit J. Poelarends (1 shared paper)
- Journals
- Journal of Molecular Biology (5 papers)Journal of Biological Chemistry (5 papers)Journal of Bacteriology (3 papers)Microbiology (2 papers)Gene (1 paper)
- Partner nations
- NetherlandsUnited StatesBelgium
In The Last Decade
P. Terpstra
58 papers receiving 3.7k citations
P. Terpstra's Hit Papers
Peers
Comparison fields: 5 of 134
- Biochemistry 342
- Pollution 484
- Molecular Biology 2.6k
- Clinical Biochemistry 199
- Biomaterials 230
Countries citing papers authored by P. Terpstra
This map shows the geographic impact of P. Terpstra'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 P. Terpstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Terpstra more than expected).
Fields of papers citing papers by P. Terpstra
This network shows the impact of papers produced by P. Terpstra. 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 P. Terpstra. The network helps show where P. Terpstra may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Terpstra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of the occurrence of the ADP-binding βαβ-fold in proteins, using an amino acid sequence fingerprint Hit paper breakdown → | 1986 | 1080 |
| 2 | 1991 | 227 | |
| 3 | 1990 | 219 | |
| 4 | 1989 | 190 | |
| 5 | 2005 | 174 | |
| 6 | 1996 | 150 | |
| 7 | 1990 | 116 | |
| 8 | 1991 | 100 | |
| 9 | 2007 | 99 | |
| 10 | 1996 | 94 | |
| 11 | 1998 | 91 | |
| 12 | 1992 | 83 | |
| 13 | 1993 | 83 | |
| 14 | 1979 | 75 | |
| 15 | 1991 | 71 | |
| 16 | 1993 | 70 | |
| 17 | 1976 | 63 | |
| 18 | 1979 | 54 | |
| 19 | 1999 | 53 | |
| 20 | 1977 | 52 |
About P. Terpstra
P. Terpstra is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Pollution, having authored 58 papers that have together received 3.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (5 papers), Protein Structure and Dynamics (4 papers), Mitochondrial Function and Pathology (4 papers), Microbial bioremediation and biosurfactants (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Biochemistry (342 citations), Pollution (484 citations), Molecular Biology (2.6k citations), Clinical Biochemistry (199 citations) and Biomaterials (230 citations). P. Terpstra has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Rik K. Wierenga, Wim G. J. Hol, Bernard Witholt, Dick B. Janssen, Bert Kazemier, Ronald A. Butow, Henk Engel, Gerrit J. Poelarends, Inez J.T. Dinkla and Gerrit Eggink. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Journal of Bacteriology, Microbiology and Gene.
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.