K. P. McNatty

5.4k total citations · 1 hit paper
83 papers, 4.4k citations indexed

About

K. P. McNatty is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, K. P. McNatty has authored 83 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Agronomy and Crop Science, 45 papers in Public Health, Environmental and Occupational Health and 29 papers in Genetics. Recurrent topics in K. P. McNatty's work include Reproductive Physiology in Livestock (49 papers), Reproductive Biology and Fertility (43 papers) and Genetic and phenotypic traits in livestock (20 papers). K. P. McNatty is often cited by papers focused on Reproductive Physiology in Livestock (49 papers), Reproductive Biology and Fertility (43 papers) and Genetic and phenotypic traits in livestock (20 papers). K. P. McNatty collaborates with scholars based in New Zealand, United States and United Kingdom. K. P. McNatty's co-authors include R. S. SAWERS, N. L. Hudson, Jennifer L. Juengel, K. M. Henderson, D. A. Heath, Peter R. Smith, A. S. McNeilly, S. Lun, D. T. Baird and M. Gibb and has published in prestigious journals such as Nature, Annals of the New York Academy of Sciences and Human Reproduction.

In The Last Decade

K. P. McNatty

83 papers receiving 4.1k citations

Hit Papers

A possible role for prolactin in control of steroid secre... 1974 2026 1991 2008 1974 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. P. McNatty New Zealand 36 2.6k 1.8k 1.6k 1.4k 950 83 4.4k
Danielle Monniaux France 41 3.5k 1.4× 2.4k 1.3× 1.9k 1.2× 1.7k 1.2× 1.2k 1.2× 124 5.3k
James J. Ireland United States 43 3.4k 1.3× 3.8k 2.1× 1.8k 1.1× 2.4k 1.7× 968 1.0× 106 6.2k
Christopher A. Price Canada 37 1.7k 0.6× 1.3k 0.7× 813 0.5× 1.0k 0.7× 1.2k 1.2× 161 3.6k
J. E. Fortune United States 51 4.9k 1.9× 4.5k 2.4× 2.4k 1.5× 3.1k 2.3× 1.2k 1.3× 104 7.7k
M.M. Bevers Netherlands 48 4.6k 1.8× 2.3k 1.3× 3.4k 2.2× 1.4k 1.0× 1.4k 1.4× 170 6.6k
M. Terqui France 33 1.1k 0.4× 1.3k 0.7× 815 0.5× 1.2k 0.9× 575 0.6× 113 3.1k
M. G. Hunter United Kingdom 33 1.3k 0.5× 1.7k 0.9× 702 0.5× 1.0k 0.8× 549 0.6× 119 3.3k
P. G. Knight United Kingdom 45 4.3k 1.7× 2.5k 1.4× 2.3k 1.5× 2.0k 1.4× 2.9k 3.1× 152 7.9k
H. R. Sawyer United States 25 1.1k 0.4× 1.4k 0.8× 665 0.4× 772 0.6× 537 0.6× 53 2.5k
D. A. Heath New Zealand 34 2.5k 1.0× 1.3k 0.7× 913 0.6× 1.2k 0.9× 1.1k 1.2× 73 3.3k

Countries citing papers authored by K. P. McNatty

Since Specialization
Citations

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

Fields of papers citing papers by K. P. McNatty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. P. McNatty. 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 K. P. McNatty. The network helps show where K. P. McNatty may publish in the future.

Co-authorship network of co-authors of K. P. McNatty

This figure shows the co-authorship network connecting the top 25 collaborators of K. P. McNatty. A scholar is included among the top collaborators of K. P. McNatty 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 K. P. McNatty. K. P. McNatty 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.
McNatty, K. P., et al.. (2013). Ranking and selection of MII oocytes in human ICSI cycles using gene expression levels from associated cumulus cells. Human Reproduction. 28(11). 2930–2942. 48 indexed citations
2.
Shorten, Paul R., A. J. Peterson, Anne R. O’Connell, et al.. (2010). A mathematical model of pregnancy recognition in mammals. Journal of Theoretical Biology. 266(1). 62–69. 13 indexed citations
3.
Juengel, Jennifer L. & K. P. McNatty. (2005). The role of proteins of the transforming growth factor-β superfamily in the intraovarian regulation of follicular development. Human Reproduction Update. 11(2). 144–161. 278 indexed citations
4.
Smith, Peter R., et al.. (1997). Ovarian Morphology and Endocrine Characteristics of Female Sheep Fetuses that are Heterozygous or Homozygous for the Inverdale Prolificacy Gene(fecX'. Biology of Reproduction. 57(5). 1183–1192. 32 indexed citations
5.
Hudson, N. L., et al.. (1996). Peripheral and ovarian IGF-I concentrations during the ovine oestrous cycle. Journal of Endocrinology. 148(2). 281–289. 35 indexed citations
6.
Clark, D.E., D. J. Tisdall, Andrew E. Fidler, & K. P. McNatty. (1996). Localization of mRNA encoding c-kit during the initiation of folliculogenesis in ovine fetal ovaries. Reproduction. 106(2). 329–335. 41 indexed citations
7.
Shackell, G. H., N. L. Hudson, D. A. Heath, et al.. (1993). Plasma Gonadotropin Concentrations and Ovarian Characteristics in Inverdale Ewes that are Heterozygous for a Major Gene (FecX1) on the X Chromosome that Influences Ovulation Rate. Biology of Reproduction. 48(5). 1150–1156. 64 indexed citations
9.
McNatty, K. P., K. M. Henderson, Jean S. Fleming, Christopher A. Price, & Iain J. Clarke. (1990). How does the F gene influence ovulation rates in booroola ewes? A 1990 perspective. Proceedings of the New Zealand Society of Animal Production. 50. 135–140. 2 indexed citations
12.
McNatty, K. P., L. E. O’Keeffe, K. M. Henderson, D. A. Heath, & S. Lun. (1986). 125I-labelled hCG binding characteristics in theca interna and other tissues from Romney ewes and from Booroola × Romney ewes with and without a major gene influencing their ovulation rate. Reproduction. 77(2). 477–488. 13 indexed citations
13.
14.
Henderson, K. M., et al.. (1985). Gonadotrophin-stimulated cyclic AMP production by granulosa cells from Booroola × Romney ewes with and without a fecundity gene. Reproduction. 75(1). 111–120. 39 indexed citations
15.
McNatty, K. P., N. L. Hudson, M. Gibb, et al.. (1985). FSH influences follicle viability, oestradiol biosynthesis and ovulation rate in Romney ewes. Reproduction. 75(1). 121–131. 72 indexed citations
16.
McNatty, K. P., N. L. Hudson, K. M. Henderson, et al.. (1984). Changes in gonadotrophin secretion and ovarian antral follicular activity in seasonally breeding sheep throughout the year. Reproduction. 70(1). 309–321. 60 indexed citations
17.
Gibb, M., D.C. Thurley, & K. P. McNatty. (1981). Active immunisation of Romney ewes with an androstenedione–protein conjugate. New Zealand Journal of Agricultural Research. 24(1). 5–9. 6 indexed citations
18.
Baird, David T., T. G. Baker, K. P. McNatty, & P. Neal. (1975). RELATIONSHIP BETWEEN THE SECRETION OF THE CORPUS LUTEUM AND THE LENGTH OF THE FOLLICULAR PHASE OF THE OVARIAN CYCLE. Reproduction. 45(3). 611–619. 86 indexed citations
19.
McNatty, K. P., A. J. Allison, & D.C. Thurley. (1972). Progesterone levels in peripheral plasma of romney ewes during pregnancy. New Zealand Journal of Agricultural Research. 15(4). 131–137. 4 indexed citations
20.
Allison, A. J. & K. P. McNatty. (1972). Levels of progesterone in peripheral blood plasma of romney and merino ewes during the oestrous cycle. New Zealand Journal of Agricultural Research. 15(4). 825–830. 3 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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