N.R. Lambe
- Animal Science and Zoology top 0.5%
- Meat and Animal Product Quality 35
- Effects of Environmental Stressors on Livestock 21
- Animal Nutrition and Physiology 17
- Small Animals top 1%
- Animal Behavior and Welfare Studies 20
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock 15
- Ruminant Nutrition and Digestive Physiology 13
- Genetics top 5%
- Genetic and phenotypic traits in livestock 64
- Genetic Mapping and Diversity in Plants and Animals 15
- Analytical Chemistry top 2%
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
N.R. Lambe
90 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Animal Science and Zoology 871
- Small Animals 335
- Agronomy and Crop Science 286
- Genetics 619
- Analytical Chemistry 171
Countries citing papers authored by N.R. Lambe
This map shows the geographic impact of N.R. Lambe'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 N.R. Lambe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.R. Lambe more than expected).
Fields of papers citing papers by N.R. Lambe
This network shows the impact of papers produced by N.R. Lambe. 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 N.R. Lambe. The network helps show where N.R. Lambe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N.R. Lambe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2020 | 16 | |
| 4 | 2019 | 16 | |
| 5 | 2018 | 15 | |
| 6 | BRIEF COMMUNICATION: Which traits best predict ewe performance and survival the following year on a UK hill farm? | 2016 | 2 |
| 7 | 2013 | 63 | |
| 8 | 2013 | 5 | |
| 9 | 2012 | 1 | |
| 10 | 2010 | 9 | |
| 11 | 2009 | 14 | |
| 12 | 2009 | 21 | |
| 13 | 2009 | 8 | |
| 14 | 2008 | 46 | |
| 15 | 2007 | 11 | |
| 16 | 2007 | 33 | |
| 17 | Genetic parameters of in vivo muscularity in two divergent sheep breeds: preliminary results. | 2006 | 1 |
| 18 | Evaluation of responses to multi-trait selection indexes and genetic parameters for Computer Tomography-derived carcass traits in UK hill sheep. | 2006 | 2 |
| 19 | 1998 | 26 | |
| 20 | 1997 | 43 |
About N.R. Lambe
N.R. Lambe is a scholar working on Animal Science and Zoology, Small Animals, Agronomy and Crop Science, Genetics and Analytical Chemistry, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (64 papers), Meat and Animal Product Quality (35 papers), Effects of Environmental Stressors on Livestock (21 papers), Animal Behavior and Welfare Studies (20 papers), Animal Nutrition and Physiology (17 papers), Reproductive Physiology in Livestock (15 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Ruminant Nutrition and Digestive Physiology (13 papers). The work is most often cited by research in Animal Science and Zoology (871 citations), Small Animals (335 citations), Agronomy and Crop Science (286 citations), Genetics (619 citations) and Analytical Chemistry (171 citations). N.R. Lambe has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include L. Bünger, E.A. Navajas, G.B. Scott, G. Simm, J. Conington, A.V. Fisher, K.A. McLean, R. Roehe, W. Haresign and S. Brotherstone. Their work appears in journals such as Meat Science, animal, Animal Science, Small Ruminant Research and Livestock Science.
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.