C. Terpstra

73 papers receiving 2.6k citations

Peers

C. Terpstra
Comparison fields: 5 of 52
  • Agronomy and Crop Science 2.1k
  • Animal Science and Zoology 1.2k
  • Infectious Diseases 1.1k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Cardiology and Cardiovascular Medicine 1.3k
Replace Satya Parida with:
Satya Parida United Kingdom
G. Wensvoort Czechia
Nora Mattion Argentina
J.Paul Lowings United Kingdom
T. Imada Japan
Scott M. Reid United Kingdom
Alfonso Clavijo Canada
Sergio Luis González López Spain
Livio Heath South Africa
Juan M. Pacheco United States
C. Terpstra relative to Satya Parida United Kingdom Satya Parida's profile →
Citations per field
00.5×1.5×2.4×
Satya Parida · 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 1986193
3 1984136
4 1988128
5 1991125
6 1992124
7 1999124
8 2000113
9 1988110
10 1989100
11 197785
12
Development and properties of a cell culture produced vaccine for hog cholera based on the Chinese strain.
199071
13 198871
14 197970
15 199369
16 199168
17 200068
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 (1.2k citations), Infectious Diseases (1.1k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations) and Cardiology and Cardiovascular Medicine (1.3k 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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