M. J. Bryant

5.6k total citations
105 papers, 4.3k citations indexed

About

M. J. Bryant is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, M. J. Bryant has authored 105 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Agronomy and Crop Science, 46 papers in Genetics and 29 papers in Animal Science and Zoology. Recurrent topics in M. J. Bryant's work include Genetic and phenotypic traits in livestock (42 papers), Reproductive Physiology in Livestock (40 papers) and Ruminant Nutrition and Digestive Physiology (24 papers). M. J. Bryant is often cited by papers focused on Genetic and phenotypic traits in livestock (42 papers), Reproductive Physiology in Livestock (40 papers) and Ruminant Nutrition and Digestive Physiology (24 papers). M. J. Bryant collaborates with scholars based in United Kingdom, United States and Canada. M. J. Bryant's 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 and has published in prestigious journals such as Nature, Science and Ecology.

In The Last Decade

M. J. Bryant

104 papers receiving 4.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. J. Bryant United Kingdom 29 1.1k 1.0k 758 729 664 105 4.3k
R. V. Short Australia 49 2.1k 1.9× 1.5k 1.4× 1.1k 1.5× 1.2k 1.7× 159 0.2× 181 8.1k
Olav T. Oftedal United States 41 768 0.7× 449 0.4× 2.5k 3.3× 826 1.1× 359 0.5× 105 5.3k
Robert L. Lochmiller United States 28 676 0.6× 337 0.3× 2.3k 3.1× 1.6k 2.1× 471 0.7× 168 4.7k
Luděk Bartoš Czechia 27 639 0.6× 270 0.3× 1.0k 1.4× 452 0.6× 285 0.4× 156 2.4k
B. L. Lasley United States 41 1.2k 1.1× 1.4k 1.3× 789 1.0× 757 1.0× 88 0.1× 178 6.1k
Steven L. Monfort United States 41 1.3k 1.2× 878 0.8× 2.6k 3.4× 1.8k 2.5× 277 0.4× 116 5.7k
Gareth Arnott United Kingdom 31 856 0.8× 276 0.3× 698 0.9× 1.3k 1.7× 284 0.4× 107 3.3k
Edward O. Price United States 32 1.6k 1.4× 886 0.8× 716 0.9× 477 0.7× 146 0.2× 117 3.8k
Mauri Nieminen Finland 29 564 0.5× 420 0.4× 1.5k 2.0× 539 0.7× 111 0.2× 194 2.9k
Samuel K. Wasser United States 46 1.5k 1.4× 591 0.6× 4.5k 5.9× 1.5k 2.1× 388 0.6× 118 7.4k

Countries citing papers authored by M. J. Bryant

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Gordon, Swanne P., David N. Reznick, Michael T. Kinnison, et al.. (2009). Adaptive Changes in Life History and Survival following a New Guppy Introduction. The American Naturalist. 174(1). 34–45. 68 indexed citations
2.
Abrahamson, Dor, et al.. (2009). FIGURING IT OUT: MATHEMATICAL LEARNING AS GUIDED SEMIOTIC DISAMBIGUATION OF USEFUL YET INITIALLY ENTANGLED INTUITIONS. 1–8. 4 indexed citations
3.
4.
Reznick, David N. & M. J. Bryant. (2007). Comparative long-term mark-recapture studies of guppies (Poecilia reticulata): differences among high and low predation localities in growth and survival. Annales Zoologici Fennici. 44(2). 152–160. 28 indexed citations
5.
Swai, Emmanuel S., M. J. Bryant, Esron D. Karimuribo, et al.. (2005). A Cross-sectional Study of Reproductive Performance of Smallholder Dairy Cows in Coastal Tanzania. Tropical Animal Health and Production. 37(6). 513–525. 15 indexed citations
6.
Taylor, Victoria, D. E. Beever, M. J. Bryant, & D.C. Wathes. (2005). Pre-pubertal measurements of the somatotrophic axis as predictors of milk production in Holstein–Friesian dairy cows. Domestic Animal Endocrinology. 31(1). 1–18. 17 indexed citations
7.
Bryant, M. J., et al.. (2005). Some Factors Affecting Reproductive Success in Crossbred Dairy Cows on Smallholder Farms in Coastal North-East Tanzania. Tropical Animal Health and Production. 37(5). 413–426. 4 indexed citations
8.
Bryant, M. J., et al.. (2004). Effects of Cottonseed Cake-based Diets Supplemented with Blood Meal, alone or with lysine, on the Growth of Pigs. Tropical Animal Health and Production. 36(4). 385–395. 4 indexed citations
9.
Reznick, David N., et al.. (2004). Effect of extrinsic mortality on the evolution of senescence in guppies. Nature. 431(7012). 1095–1099. 318 indexed citations
10.
Ogden, N. H., Emmanuel S. Swai, Guy Beauchamp, et al.. (2004). Risk factors for tick attachment to smallholder dairy cattle in Tanzania. Preventive Veterinary Medicine. 67(2-3). 157–170. 28 indexed citations
11.
Bryant, M. J., et al.. (2004). Productivity of Crossbred Dairy Cows Suckling their Calves for 12 or 24 Weeks Post Calving. Tropical Animal Health and Production. 36(8). 763–773. 4 indexed citations
12.
Bryant, M. J., et al.. (2003). The Survival, Growth and Carcase Characteristics of Crossbred Beef Cattle in Tanzania. Tropical Animal Health and Production. 35(5). 441–454. 4 indexed citations
13.
Taylor, Victoria, David E. Beever, M. J. Bryant, & D.C. Wathes. (2003). Metabolic profiles and progesterone cycles in first lactation dairy cows. Theriogenology. 59(7). 1661–1677. 80 indexed citations
14.
Clarke, Lynne, M. J. Bryant, Michael A. Lomax, & Michael Symonds. (1997). Maternal manipulation of brown adipose tissue and liver development in the ovine fetus during late gestation. British Journal Of Nutrition. 77(6). 871–883. 68 indexed citations
15.
Rosen, Leora N., Steven D. Targum, Michael Terman, et al.. (1990). Prevalence of seasonal affective disorder at four latitudes. Psychiatry Research. 31(2). 131–144. 385 indexed citations
16.
Symonds, Michael, M. J. Bryant, & M. A. Lomax. (1990). Metabolic adaptation during lactation in winter-shorn sheep. The Journal of Agricultural Science. 114(2). 201–205. 13 indexed citations
17.
Symonds, Michael, M. J. Bryant, & M. A. Lomax. (1989). Lipid metabolism in shorn and unshorn pregnant sheep. British Journal Of Nutrition. 62(1). 35–49. 25 indexed citations
18.
Stansfield, S. C., et al.. (1987). Involvement of endogenous opioid peptides in the neuroendocrine response of ewe lambs to the introduction of a ram. Journal of Endocrinology. 115(2). 333–339. 7 indexed citations
19.
Symonds, Michael, M. J. Bryant, & M. A. Lomax. (1986). The effect of shearing on the energy metabolism of the pregnant ewe. British Journal Of Nutrition. 56(3). 635–643. 73 indexed citations
20.
Bryant, M. J., et al.. (1974). OESTROUS BEHAVIOUR OF THE EWE AND THE INFLUENCE OF TREATMENT WITH PROGESTAGEN. Reproduction. 41(1). 121–132. 22 indexed citations

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.

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