M. J. Bryant
- Genetics top 2%
- Agronomy and Crop Science top 0.5%
- Ecology top 2%
- Ecology, Evolution, Behavior and Systematics top 1%
- Nature and Landscape Conservation top 2%
- Co-authors
- David N. ReznickH.J.D. RosaFarrah BasheyDonald L. KramerRoger EwbankMichael SymondsM. A. LomaxCameron K. Ghalambor
- Topics
- Genetic and phenotypic traits in livestock (42 papers)Reproductive Physiology in Livestock (40 papers)Ruminant Nutrition and Digestive Physiology (24 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
M. J. Bryant
104 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 168
- Genetics 1.1k
- Agronomy and Crop Science 1.0k
- Ecology 758
- Ecology, Evolution, Behavior and Systematics 729
- Nature and Landscape Conservation 664
Countries citing papers authored by M. J. Bryant
This map shows the geographic impact of M. J. Bryant'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 M. J. Bryant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Bryant more than expected).
Fields of papers citing papers by M. J. Bryant
This network shows the impact of papers produced by M. J. Bryant. 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 M. J. Bryant. The network helps show where M. J. Bryant may publish in the future.
Co-authorship network of co-authors of M. J. Bryant
This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Bryant. A scholar is included among the top collaborators of M. J. Bryant 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 M. J. Bryant. M. J. Bryant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | FIGURING IT OUT: MATHEMATICAL LEARNING AS GUIDED SEMIOTIC DISAMBIGUATION OF USEFUL YET INITIALLY ENTANGLED INTUITIONS | 4 |
| 3 | 5 | |
| 4 | Comparative long-term mark-recapture studies of guppies (Poecilia reticulata): differences among high and low predation localities in growth and survival | 28 |
| 5 | 15 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 318 | |
| 10 | 28 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 80 | |
| 14 | 68 | |
| 15 | 385 | |
| 16 | 13 | |
| 17 | 25 | |
| 18 | 7 | |
| 19 | 73 | |
| 20 | 22 |
About M. J. Bryant
M. J. Bryant is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Small Animals, having authored 105 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (42 papers), Reproductive Physiology in Livestock (40 papers) and Ruminant Nutrition and Digestive Physiology (24 papers). The work is most often cited by research in Aging (193 citations), Agronomy and Crop Science (1.0k citations) and Animal Science and Zoology (655 citations). M. J. Bryant has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David N. Reznick, H.J.D. Rosa, Farrah Bashey, Donald L. Kramer, Roger Ewbank, Michael Symonds, M. A. Lomax, Cameron K. Ghalambor, Derek A. Roff and R. J. Esslemont. Their work appears in journals such as Nature, Science and Ecology.
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.