Christopher A. Morrison

1.2k citations
32 papers · 1.1k · h-index 19

Impact in

Papers in

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

Christopher A. Morrison

32 papers receiving 953 citations

Peers

Christopher A. Morrison
Comparison fields: 5 of 102
  • Small Animals 137
  • Parasitology 83
  • Equine 18
  • Animal Science and Zoology 96
  • Agronomy and Crop Science 92
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J.A. van der Donk Netherlands
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Citations per year

Countries citing papers authored by Christopher A. Morrison

Since Specialization
Citations

This map shows the geographic impact of Christopher 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 Christopher 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 Christopher A. Morrison more than expected).

Fields of papers citing papers by Christopher A. Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher 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 Christopher A. Morrison Line = papers co-authored together Christopher 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 1995211
2 1996103
3 197379
4 197457
5 197349
6 199245
7 199342
8 199442
9 199239
10 199237
11 199436
12 197735
13 199033
14 200732
15 199329
16 198723
17 199323
18 199722
19 197719
20 198717

About Christopher A. Morrison

Christopher A. Morrison is a scholar working on Small Animals, Molecular Biology, 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), RNA modifications and cancer (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Bacterial Genetics and Biotechnology (4 papers), TGF-β signaling in diseases (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Reproductive Physiology in Livestock (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Small Animals (137 citations), Parasitology (83 citations), Equine (18 citations), Animal Science and Zoology (96 citations) and Agronomy and Crop Science (92 citations). Christopher A. Morrison has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include R.A. Garrett, Connor Rees Murray MacDonald, Robert William Stoddart, Ian F. Goldie, Mary Helen Grant, Carolyn Jones, E. Morton Bradbury, Anders Wykman, R. Macnair and Georg Stöffler. Their work appears in journals such as FEBS Letters, Reproduction, Journal of Endocrinology, Journal of Animal Science 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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