G.J. Rowlands
- Agronomy and Crop Science top 0.2%
- Genetics top 2%
- Small Animals top 0.2%
- Epidemiology top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Anne‐Marie RussellR. ManstonSimon LuceySally M. DewS.G.A. LeakG.D.M. D'IeterenWoudyalew MulatuW. Little
- Topics
- Genetic and phenotypic traits in livestock (38 papers)Trypanosoma species research and implications (24 papers)Reproductive Physiology in Livestock (24 papers)
- Partner nations
- United StatesKenyaItaly
In The Last Decade
G.J. Rowlands
106 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 129
- Agronomy and Crop Science 1.5k
- Genetics 1.0k
- Small Animals 758
- Epidemiology 703
- Ecology, Evolution, Behavior and Systematics 584
Countries citing papers authored by G.J. Rowlands
This map shows the geographic impact of G.J. Rowlands'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 G.J. Rowlands with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.J. Rowlands more than expected).
Fields of papers citing papers by G.J. Rowlands
This network shows the impact of papers produced by G.J. Rowlands. 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 G.J. Rowlands. The network helps show where G.J. Rowlands may publish in the future.
Co-authorship network of co-authors of G.J. Rowlands
This figure shows the co-authorship network connecting the top 25 collaborators of G.J. Rowlands. A scholar is included among the top collaborators of G.J. Rowlands 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 G.J. Rowlands. G.J. Rowlands is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Application of principal component analysis for classifying East Coast fever reactions in cattle challenged with Theileria parva. | 1 |
| 2 | 58 | |
| 3 | 35 | |
| 4 | 40 | |
| 5 | 21 | |
| 6 | 38 | |
| 7 | 17 | |
| 8 | 5 | |
| 9 | Village N'Dama cattle production in West Africa: six years of research in The Gambia. | 28 |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 75 | |
| 13 | 77 | |
| 14 | 49 | |
| 15 | Prevalence of Trypanosoma congolense in East African Zebu cattle under high tsetse challenge | 3 |
| 16 | 20 | |
| 17 | 11 | |
| 18 | 16 | |
| 19 | A possible use of blood analysis in the selection of beef animals with superior growth potential. | 5 |
| 20 | 12 |
About G.J. Rowlands
G.J. Rowlands is a scholar working on Agronomy and Crop Science, Small Animals and Parasitology, having authored 106 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (38 papers), Trypanosoma species research and implications (24 papers) and Reproductive Physiology in Livestock (24 papers). The work is most often cited by research in Agronomy and Crop Science (1.5k citations), Small Animals (758 citations) and Animal Science and Zoology (507 citations). G.J. Rowlands has collaborated with scholars based in United States, Kenya and Italy. Frequent co-authors include Anne‐Marie Russell, R. Manston, Simon Lucey, Sally M. Dew, S.G.A. Leak, G.D.M. D'Ieteren, Woudyalew Mulatu, W. Little, W. Thorpe and Brent Swallow. Their work appears in journals such as Infection and Immunity, Statistics in Medicine and British Journal Of Nutrition.
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.