M. A. Blackberry

1.6k citations
52 papers · 1.3k · h-index 23

Impact in

Papers in

M. A. Blackberry

51 papers receiving 1.2k citations

Peers

M. A. Blackberry
Comparison fields: 5 of 78
  • Agronomy and Crop Science 611
  • Endocrine and Autonomic Systems 233
  • Reproductive Medicine 281
  • Small Animals 190
  • Animal Science and Zoology 212
Replace K. K. Schillo with:
K. K. Schillo United States
G. Kann France
F. Stormshak United States
E. Seren Italy
J.P. Ravault France
T. E. Kiser United States
E. L. Sheldrick United Kingdom
A. S. McNeilly United Kingdom
Kellie M. Breen United States
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Citations per field
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Citations per year

Countries citing papers authored by M. A. Blackberry

Since Specialization
Citations

This map shows the geographic impact of M. A. Blackberry'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. A. Blackberry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Blackberry more than expected).

Fields of papers citing papers by M. A. Blackberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Blackberry. 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. A. Blackberry. The network helps show where M. A. Blackberry may publish in the future.

Co-authors

The 25 scholars most cited alongside M. A. Blackberry, 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. A. Blackberry Line = papers co-authored together M. A. Blackberry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200083
2 200480
3 200379
4 199476
5 199772
6 200270
7 199458
8 199550
9 199849
10 200745
11 200042
12 201040
13 200233
14 200131
15 199731
16 200029
17 200529
18 200528
19 199728
20 201425

About M. A. Blackberry

M. A. Blackberry is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (23 papers), Genetic and phenotypic traits in livestock (11 papers), Hypothalamic control of reproductive hormones (8 papers), Regulation of Appetite and Obesity (8 papers), Effects of Environmental Stressors on Livestock (7 papers), Animal Behavior and Reproduction (5 papers), Wildlife Ecology and Conservation (4 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Agronomy and Crop Science (611 citations), Endocrine and Autonomic Systems (233 citations), Reproductive Medicine (281 citations), Small Animals (190 citations) and Animal Science and Zoology (212 citations). M. A. Blackberry has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Graeme B. Martin, Dominique Blache, Stephen W. Walkden‐Brown, María José Hötzel, Philip E. Vercoe, Caroline M. Markey, Jennifer Cummins, Aris Junaidi, L.M. Chagas and Song Zhang. Their work appears in journals such as Reproduction Fertility and Development, Reproduction, Animal Reproduction Science, animal and Domestic Animal Endocrinology.

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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