T. Mutsvangwa
- Agronomy and Crop Science top 0.2%
- Genetics top 5%
- Animal Science and Zoology top 1%
- Small Animals top 2%
- Nutrition and Dietetics top 10%
- Co-authors
- G.B. PennerK. A. BeaucheminG.N. GozhoB.W. McBrideGwinyai E ChibisaDavid A. ChristensenT.F. DuffieldJ. H. Topps
- Topics
- Ruminant Nutrition and Digestive Physiology (51 papers)Reproductive Physiology in Livestock (36 papers)Genetic and phenotypic traits in livestock (21 papers)
- Partner nations
- CanadaSouth AfricaUnited States
In The Last Decade
T. Mutsvangwa
59 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 84
- Agronomy and Crop Science 1.4k
- Genetics 551
- Animal Science and Zoology 373
- Small Animals 201
- Nutrition and Dietetics 153
Countries citing papers authored by T. Mutsvangwa
This map shows the geographic impact of T. Mutsvangwa'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 T. Mutsvangwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Mutsvangwa more than expected).
Fields of papers citing papers by T. Mutsvangwa
This network shows the impact of papers produced by T. Mutsvangwa. 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 T. Mutsvangwa. The network helps show where T. Mutsvangwa may publish in the future.
Co-authorship network of co-authors of T. Mutsvangwa
This figure shows the co-authorship network connecting the top 25 collaborators of T. Mutsvangwa. A scholar is included among the top collaborators of T. Mutsvangwa 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 T. Mutsvangwa. T. Mutsvangwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 36 | |
| 8 | 43 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 28 | |
| 12 | Effects of feeding canola meal (CM) and wheat dried distillers grains with solubles (W-DDGS) as the major protein source in low or high crude protein diets on ruminal nitrogen utilization, omasal nutrient flow, and milk production in dairy cows | 0 |
| 13 | 18 | |
| 14 | 20 | |
| 15 | 11 | |
| 16 | 75 | |
| 17 | 37 | |
| 18 | 243 | |
| 19 | 25 | |
| 20 | A note on comparison of reproductive performance in dairy cows bred before and after 60 days post partum | 1 |
About T. Mutsvangwa
T. Mutsvangwa is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (51 papers), Reproductive Physiology in Livestock (36 papers) and Genetic and phenotypic traits in livestock (21 papers). The work is most often cited by research in Agronomy and Crop Science (1.4k citations), Animal Science and Zoology (373 citations) and Small Animals (201 citations). T. Mutsvangwa has collaborated with scholars based in Canada, South Africa and United States. Frequent co-authors include G.B. Penner, K. A. Beauchemin, G.N. Gozho, B.W. McBride, Gwinyai E Chibisa, David A. Christensen, T.F. Duffield, J. H. Topps, I. E. S. Edwards and J. J. McKinnon. Their work appears in journals such as Journal of Nutrition, Journal of Dairy Science 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.