C. Terpstra

73 papers receiving 2.6k citations

Peers

C. Terpstra
Comparison fields: 5 of 51
  • Agronomy and Crop Science 2.1k
  • Animal Science and Zoology 1.1k
  • Infectious Diseases 1.1k
  • Cardiology and Cardiovascular Medicine 1.2k
  • Ecology, Evolution, Behavior and Systematics 1.1k
Replace B. Ließ with:
B. Ließ Germany
Marcel Hulst Netherlands
Kenny V. Brock United States
G. Wensvoort Czechia
Nora Mattion Argentina
Štefan Vilček Slovakia
Satya Parida United Kingdom
J.Paul Lowings United Kingdom
Elke Lange Germany
Joe Brownlie United Kingdom
C. Terpstra relative to B. Ließ Germany B. Ließ's profile →
Citations per field
00.5×
B. Ließ · 1×
Citations per year

Countries citing papers authored by C. Terpstra

Since Specialization
Citations

This map shows the geographic impact of C. 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 C. Terpstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Terpstra more than expected).

Fields of papers citing papers by C. Terpstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. 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 C. Terpstra. The network helps show where C. Terpstra may publish in the future.

Co-authors

The 25 scholars most cited alongside C. 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 C. Terpstra Line = papers co-authored together C. Terpstra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991224
2 1986195
3 1984138
4 1988131
5 1992125
6 1991125
7 1999123
8 2000113
9 1988111
10 1989100
11 197786
12 198871
13
Development and properties of a cell culture produced vaccine for hog cholera based on the Chinese strain.
199071
14 197970
15 199369
16 200069
17 199168
18 199764
19 198862
20 200160

About C. Terpstra

C. Terpstra is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics and Infectious Diseases, having authored 75 papers that have together received 2.9k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (62 papers), Viral Infections and Immunology Research (33 papers), Animal Virus Infections Studies (30 papers), Vector-Borne Animal Diseases (26 papers), Viral gastroenteritis research and epidemiology (11 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), T-cell and Retrovirus Studies (7 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Agronomy and Crop Science (2.1k citations), Animal Science and Zoology (1.1k citations), Infectious Diseases (1.1k citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Ecology, Evolution, Behavior and Systematics (1.1k citations). C. Terpstra has collaborated with scholars based in Czechia, Netherlands and Serbia. Frequent co-authors include G. Wensvoort, J. M. A. Pol, M. Bloemraad, R.J.M. Moormann, E.P. de Kluijver, A. Bouma, C. van Maanen, A. L. J. Gielkens, J.T. van Oirschot and A.J. de Smit. Their work appears in journals such as Veterinary Microbiology, Veterinary Quarterly, Research in Veterinary Science, Veterinary Record and Vaccine.

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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