C. L. Kanitz

23 papers receiving 538 citations

Peers

C. L. Kanitz
Comparison fields: 5 of 45
  • Animal Science and Zoology 403
  • Infectious Diseases 354
  • Genetics 237
  • Agronomy and Crop Science 75
  • Parasitology 33
Replace Murray Hazlett with:
Murray Hazlett Canada
Katinka Belák Sweden
Ilias Bouzalas Greece
P.J. Timoney United States
Catherine Charreyre France
D. E. Mattson United States
Matteo Legnardi Italy
E.R. McKillop United Kingdom
Seiichi Ohashi Japan
D. J. van Roozelaar Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by C. L. Kanitz

Since Specialization
Citations

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

Fields of papers citing papers by C. L. Kanitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200179
2 200177
3 199370
4 197145
5
Sequence analysis of old and new strains of porcine circovirus associated with congenital tremors in pigs and their comparison with strains involved with postweaning multisystemic wasting syndrome.
200240
6 200337
7 198027
8 199325
9 199624
10 199424
11
Investigation of people as mechanical vectors for porcine reproductive and respiratory syndrome virus
200021
12 199921
13 199417
14 198317
15 198316
16 197813
17 19768
18 20007
19 19803
20 19962

About C. L. Kanitz

C. L. Kanitz is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 577 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (13 papers), Viral gastroenteritis research and epidemiology (12 papers), Virus-based gene therapy research (7 papers), Herpesvirus Infections and Treatments (5 papers), Mosquito-borne diseases and control (3 papers), Viral Infections and Immunology Research (3 papers), Viral Infections and Vectors (3 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Animal Science and Zoology (403 citations), Infectious Diseases (354 citations), Genetics (237 citations), Agronomy and Crop Science (75 citations) and Parasitology (33 citations). C. L. Kanitz has collaborated with scholars based in United States and France. Frequent co-authors include Gregory W. Stevenson, William G. Van Alstine, Matti Kiupel, Suresh K. Mittal, Jiwon Choi, D. P. Gustafson, K. S. Latimer, Kenneth S. Latimer, Roger K. Maes and Charles M. Kirkpatrick. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Journal of the American Veterinary Medical Association, American Journal of Veterinary Research, Veterinary Pathology and Journal of Clinical Microbiology.

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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