M. J. Bryant

5.6k citations
105 papers · 4.3k indexed · h-index 29

M. J. Bryant

104 papers receiving 4.0k citations

Peers

M. J. Bryant
Comparison fields: 5 of 168
  • Aging 193
  • Agronomy and Crop Science 1.0k
  • Animal Science and Zoology 655
  • Small Animals 426
  • Nature and Landscape Conservation 664
Replace R. V. Short with:
R. V. Short Australia
Robert L. Lochmiller United States
Olivier Chastel France
F. H. Bronson United States
Gabriele Sorci France
Tony D. Williams Canada
Daniel H. Nussey United Kingdom
Olav T. Oftedal United States
A. W. Illius United Kingdom
Kimberly A. Hammond United States
M. J. Bryant relative to R. V. Short Australia R. V. Short's profile →
Citations per field
00.5×4.2×
R. V. Short · 1×
Citations per year

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

The 25 scholars most cited alongside M. J. Bryant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. J. Bryant Line = papers co-authored together M. J. Bryant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200968
2
FIGURING IT OUT: MATHEMATICAL LEARNING AS GUIDED SEMIOTIC DISAMBIGUATION OF USEFUL YET INITIALLY ENTANGLED INTUITIONS
20094
3 20085
4
Comparative long-term mark-recapture studies of guppies (Poecilia reticulata): differences among high and low predation localities in growth and survival
200728
5 200515
6 200517
7 20054
8 20044
9 2004318
10 200428
11 20044
12 20034
13 200380
14 199768
15 1990385
16 199013
17 198925
18 19877
19 198673
20 197422

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), Ruminant Nutrition and Digestive Physiology (24 papers), Animal Behavior and Welfare Studies (17 papers), Effects of Environmental Stressors on Livestock (14 papers), Animal Nutrition and Physiology (12 papers), Animal Behavior and Reproduction (8 papers) and Fish Ecology and Management Studies (6 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.

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