Chris Morris

3.3k citations
82 papers · 1.6k indexed · 1 hit paper · h-index 19

Chris Morris

79 papers receiving 1.4k citations

Hit Papers

The use of multiple thresholds in determining the mode of...3351972202619902008100200300

Peers

Chris Morris
Comparison fields: 5 of 155
  • Agronomy and Crop Science 324
  • Genetics 859
  • Animal Science and Zoology 272
  • Small Animals 178
  • Information Systems and Management 70
Replace Lisa Matthews with:
Lisa Matthews United States
Margaret White United States
Christopher L. R. Barratt United Kingdom
Yang Wu China
G. R. Evans United Kingdom
V. Guiard Germany
T. D. Glover United Kingdom
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Cuiping Song China
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Chris Morris relative to Lisa Matthews United States Lisa Matthews's profile →
Citations per field
00.5×2.7×
Lisa Matthews · 1×
Citations per year

Countries citing papers authored by Chris Morris

Since Specialization
Citations

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

Fields of papers citing papers by Chris Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20130
2 20074
3 20064
4 200510
5 20045
6 20047
7
Heritability of Johne's disease and survival data from Romney and Merino sheep
20038
8 200328
9 20026
10 20013
11 199911
12 199538
13 199460
14 19940
15
A review of Australian and New Zealand selection experiments for growth and fertility in beef cattle.
19943
16 19927
17 19909
18
Ovulation results from cattle herds with high twinning frequency.
198610
19
Potential for genetic twinning in cattle.
198614
20 19805

About Chris Morris

Chris Morris is a scholar working on Agronomy and Crop Science, Genetics and Information Systems and Management, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (40 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers), Reproductive Physiology in Livestock (17 papers), Ruminant Nutrition and Digestive Physiology (12 papers), Scientific Computing and Data Management (8 papers), Advanced Proteomics Techniques and Applications (6 papers), Genetics and Plant Breeding (6 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Agronomy and Crop Science (324 citations), Genetics (859 citations) and Animal Science and Zoology (272 citations). Chris Morris has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include J. W. James, Theodore Reich, N. G. Cullen, R. L. Baker, Judith Segal, S. M. Hickey, W. S. Pitchford, C. D. K. Bottema, M. Wheeler and D. L. Johnson. Their work appears in journals such as New Zealand Journal of Agricultural Research, Animal Genetics, Animal Science, IEEE Software and Mammalian Genome.

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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