R. M. Lewis
- Genetics top 2%
- Animal Science and Zoology top 1%
- Agronomy and Crop Science top 2%
- Small Animals top 2%
- Plant Science
- Co-authors
- G. SimmG. C. EmmansW.S. DingwallS. BrotherstoneMorag J. YoungB.T. WolfD. R. NotterP.B. Siegel
- Topics
- Genetic and phenotypic traits in livestock (52 papers)Genetic Mapping and Diversity in Plants and Animals (14 papers)Animal Behavior and Welfare Studies (14 papers)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
R. M. Lewis
64 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Genetics 791
- Animal Science and Zoology 469
- Agronomy and Crop Science 358
- Small Animals 213
- Plant Science 100
Countries citing papers authored by R. M. Lewis
This map shows the geographic impact of R. M. Lewis'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 R. M. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. M. Lewis more than expected).
Fields of papers citing papers by R. M. Lewis
This network shows the impact of papers produced by R. M. Lewis. 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 R. M. Lewis. The network helps show where R. M. Lewis may publish in the future.
Co-authorship network of co-authors of R. M. Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Lewis. A scholar is included among the top collaborators of R. M. Lewis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. M. Lewis. R. M. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Degree of connectedness among herds and sires of current candidates for selection in Afrikaner cattle with reported weaning weights | 1 |
| 2 | 65 | |
| 3 | 25 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 21 | |
| 7 | 7 | |
| 8 | Relationships between maternal body composition prior to conception and duration of gestation | 1 |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 14 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | Genetic consequences of selecting on PrP genotypes on terminal sire and hill sheep breeds. | 1 |
| 15 | Scrapie genotype: a correlation with lean growth rate? | 13 |
| 16 | 57 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 22 |
About R. M. Lewis
R. M. Lewis is a scholar working on Animal Science and Zoology, Small Animals and Agronomy and Crop Science, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (52 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Animal Behavior and Welfare Studies (14 papers). The work is most often cited by research in Animal Science and Zoology (469 citations), Agronomy and Crop Science (358 citations) and Small Animals (213 citations). R. M. Lewis has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include G. Simm, G. C. Emmans, W.S. Dingwall, S. Brotherstone, Morag J. Young, B.T. Wolf, D. R. Notter, P.B. Siegel, W. Haresign and B. Grundy. Their work appears in journals such as The Journal of Urology, Journal of Animal Science and Journal of Vascular Surgery.
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.