M. F. HAY

1.8k citations
40 papers · 1.4k indexed · h-index 24
Topics
Reproductive Physiology in Livestock (16 papers)Reproductive Biology and Fertility (13 papers)Genetic and phenotypic traits in livestock (8 papers)

In The Last Decade

M. F. HAY

40 papers receiving 1.3k citations

Peers

M. F. HAY
Comparison fields: 5 of 104
  • Agronomy and Crop Science 594
  • Public Health, Environmental and Occupational Health 566
  • Genetics 337
  • Molecular Biology 306
  • Reproductive Medicine 299
Replace R. R. Maurer with:
R. R. Maurer United States
J. D. O'Shea Australia
M Igarashi Japan
Karl‐Heinz Wrobel Germany
L. G. Moore New Zealand
H. M. Fraser United Kingdom
William C. Okulicz United States
Werner Amselgruber Germany
Helena T. A. van Tol Netherlands
J. K. Findlay Australia
M. F. HAY relative to R. R. Maurer United States R. R. Maurer's profile →
Citations per field
00.5×1.7×
R. R. Maurer · 1×
Citations per year

Countries citing papers authored by M. F. HAY

Since Specialization
Citations

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

Fields of papers citing papers by M. F. HAY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. F. HAY

This figure shows the co-authorship network connecting the top 25 collaborators of M. F. HAY. A scholar is included among the top collaborators of M. F. HAY 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. F. HAY. M. F. HAY 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
#WorkIndexed citations
1 42
2 67
3 31
4 35
5 80
6 51
7 23
8 47
9 23
10 49
11 2
12 22
13 9
14 14
15 60
16 14
17 28
18 2
19 31
20 37

About M. F. HAY

M. F. HAY is a scholar working on Agronomy and Crop Science, Developmental Biology and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (16 papers), Reproductive Biology and Fertility (13 papers) and Genetic and phenotypic traits in livestock (8 papers). The work is most often cited by research in Agronomy and Crop Science (594 citations), Reproductive Medicine (299 citations) and Public Health, Environmental and Occupational Health (566 citations). M. F. HAY has collaborated with scholars based in United Kingdom, Italy and Slovakia. Frequent co-authors include R. M. Moor, D. G. Cran, H. M. Dott, R. V. Short, J. D. O'Shea, Cecilia Lutwak‐Mann, L. E. A. ROWSON, Helen Wendler Deane, C. E. Adams and Umberto De Boni. Their work appears in journals such as Development, The Journal of Physiology and The Journal of Comparative Neurology.

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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