C.A. Morrison

1.3k citations
32 papers · 1.1k · h-index 19

Impact in

Papers in

    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 5
    • Glycosylation and Glycoproteins Research 3
    • Metabolism, Diabetes, and Cancer 3
    • TGF-β signaling in diseases 3

C.A. Morrison

32 papers receiving 1.0k citations

Peers

C.A. Morrison
Comparison fields: 5 of 101
  • Small Animals 196
  • Parasitology 127
  • Animal Science and Zoology 131
  • Equine 18
  • Agronomy and Crop Science 91
Replace Hiroyuki Okada with:
Hiroyuki Okada Japan
J.A. van der Donk Netherlands
Wayne G. Kimpton Australia
Jerry R. Malayer United States
Zdzisław Gajewski Poland
Toshifumi OYAMADA Japan
Eva A. Sartin United States
Carsten Ludwig Germany
Yasuho TAURA Japan
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Citations per field
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Hiroyuki Okada · 1×
Citations per year

Countries citing papers authored by C.A. Morrison

Since Specialization
Citations

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

Fields of papers citing papers by C.A. Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995215
2 1996104
3 197378
4
Development of vaccines against "Fasciola hepatica"
199963
5 197457
6 197349
7 199245
8 199443
9 199342
10 199239
11 199237
12 199436
13 197735
14 199033
15 200731
16 199329
17 199323
18 199722
19 197719
20 198717

About C.A. Morrison

C.A. Morrison is a scholar working on Molecular Biology, Small Animals, Radiology, Nuclear Medicine and Imaging, Genetics and Animal Science and Zoology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), RNA modifications and cancer (5 papers), Bacterial Genetics and Biotechnology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Small Animals (196 citations), Parasitology (127 citations), Animal Science and Zoology (131 citations), Equine (18 citations) and Agronomy and Crop Science (91 citations). C.A. Morrison has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include R.A. Garrett, M.H. Grant, Ian Goldie, R. Macnair, C. MacDonald, Anders Wykman, E. Morton Bradbury, Carolyn Jones, Robert W. Stoddart and Georg Stöffler. Their work appears in journals such as FEBS Letters, Reproduction, Journal of Animal Science, Journal of Endocrinology and The Journal of Immunology.

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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