P. Terpstra

8.2k citations
58 papers · 3.8k indexed · 1 hit paper · h-index 29

P. Terpstra

58 papers receiving 3.7k citations

Hit Papers

Prediction of the occurrence of the ADP-binding βαβ-fold ...1.1k19862026199920122505007501000

Peers

P. Terpstra
Comparison fields: 5 of 135
  • Biochemistry 350
  • Pollution 486
  • Molecular Biology 2.7k
  • Clinical Biochemistry 207
  • Biomaterials 232
Replace Joseph D. Schrag with:
Joseph D. Schrag Canada
H. Rosenberg Australia
Raymond C. Valentine United States
Elisa Cabiscol Spain
Peter Hunziker Switzerland
Jean‐Charles Portais France
Tatsuo Kurihara Japan
Achim Kröger Germany
Antonio J. Pierik Germany
Jorge C. Escalante‐Semerena United States
P. Terpstra relative to Joseph D. Schrag Canada Joseph D. Schrag's profile →
Citations per field
00.5×3.2×
Joseph D. Schrag · 1×
Citations per year

Countries citing papers authored by P. Terpstra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with P. Terpstra Line = papers co-authored together P. Terpstra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20145
2 201125
3 200823
4 200799
5 200738
6 200711
7 200242
8 200123
9
The 172 kb prkA-addAB region from 83° to 97° of the Bacillus subtilis chromosome contains several dysfunctional genes, the glyB marker, many genes encoding transporter proteins, and the ubiquitous hit gene
19981
10 199889
11 199694
12 1996150
13 199370
14 199247
15 199136
16
Metabolism of Poly(3-hydroxyalkanoates) (PHAs) by Pseudomonas oleovorans. Identification and Sequences of Genes and Function of the Encoded Proteins in the Synthesis and Degradation of PHA
19912
17 1991101
18 1990219
19 197726
20
A thousand and one questions on crystallographic problems
19522

About P. Terpstra

P. Terpstra is a scholar working on Molecular Biology, Clinical Biochemistry, Pollution, Molecular Medicine and Genetics, 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), Metabolism and Genetic Disorders (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Biochemistry (350 citations), Pollution (486 citations), Molecular Biology (2.7k citations), Clinical Biochemistry (207 citations) and Biomaterials (232 citations). P. Terpstra has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Wim G. J. Hol, Rik K. Wierenga, Bernard Witholt, Dick B. Janssen, Bert Kazemier, Ronald A. Butow, Henk Engel, Gerrit Eggink, Gert Vriend and Lubbert Dijkhuizen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Journal of Bacteriology, Microbiology and FEMS Microbiology Reviews.

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.

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