C. Navanukraw

1.1k total citations
40 papers, 906 citations indexed

About

C. Navanukraw is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, C. Navanukraw has authored 40 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Agronomy and Crop Science, 18 papers in Public Health, Environmental and Occupational Health and 10 papers in Genetics. Recurrent topics in C. Navanukraw's work include Reproductive Physiology in Livestock (25 papers), Reproductive Biology and Fertility (17 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). C. Navanukraw is often cited by papers focused on Reproductive Physiology in Livestock (25 papers), Reproductive Biology and Fertility (17 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). C. Navanukraw collaborates with scholars based in Thailand, United States and Taiwan. C. Navanukraw's co-authors include Metha Wanapat, Dale A. Redmer, Anna T. Grazul‐Bilska, Lawrence P. Reynolds, P. Pakdee, P. Kongmun, J. D. Kirsch, Mary L. Johnson, P.M. Fricke and Zhongtang Yu and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Reproduction.

In The Last Decade

C. Navanukraw

39 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Navanukraw Thailand 16 684 276 239 123 122 40 906
Marco Antônio Sundfeld da Gama Brazil 16 296 0.4× 132 0.5× 101 0.4× 57 0.5× 125 1.0× 68 746
D.J. Carroll United States 13 763 1.1× 488 1.8× 95 0.4× 34 0.3× 150 1.2× 15 927
G. A. Apgar United States 14 272 0.4× 113 0.4× 161 0.7× 67 0.5× 209 1.7× 24 573
H. Atashi Iran 17 365 0.5× 450 1.6× 48 0.2× 68 0.6× 312 2.6× 75 828
Ciro Alexandre Alves Torres Brazil 14 314 0.5× 232 0.8× 358 1.5× 57 0.5× 134 1.1× 78 722
K. Rezayazdi Iran 14 309 0.5× 119 0.4× 42 0.2× 113 0.9× 95 0.8× 40 523
M.J. de Veth United States 21 1.2k 1.7× 391 1.4× 34 0.1× 66 0.5× 232 1.9× 27 1.5k
E. Dirandeh Iran 17 470 0.7× 287 1.0× 83 0.3× 46 0.4× 160 1.3× 64 666
Hamid Kohram Iran 25 504 0.7× 461 1.7× 866 3.6× 156 1.3× 255 2.1× 88 1.7k
J. L. Pate United States 13 488 0.7× 131 0.5× 147 0.6× 54 0.4× 119 1.0× 19 816

Countries citing papers authored by C. Navanukraw

Since Specialization
Citations

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

Fields of papers citing papers by C. Navanukraw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Navanukraw. 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 C. Navanukraw. The network helps show where C. Navanukraw may publish in the future.

Co-authorship network of co-authors of C. Navanukraw

This figure shows the co-authorship network connecting the top 25 collaborators of C. Navanukraw. A scholar is included among the top collaborators of C. Navanukraw 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 C. Navanukraw. C. Navanukraw 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.
Navanukraw, C., et al.. (2024). Exploring Alternative Sweeteners: Consumer Perspectives and Product Development for Healthier and Affordable Choices. Journal of Health Science and Medical Research. 20241132–20241132.
2.
Navanukraw, C., et al.. (2022). Dietary organic trace mineral supplement affects steroid hormone, antioxidant enzyme concentrations, and reproductive performances in dairy cows. Veterinary Integrative Sciences. 20(3). 609–624. 3 indexed citations
3.
Navanukraw, C., et al.. (2021). Effects of FSH treatment and withdrawal during proestrus on uterine proliferation and steroid hormone receptor expression in beef heifers. Animal Science Journal. 92(1). e13621–e13621. 2 indexed citations
4.
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Grazul‐Bilska, Anna T., et al.. (2018). Placental development during early pregnancy in sheep: nuclear estrogen and progesterone receptor mRNA expression in the utero-placental compartments. Domestic Animal Endocrinology. 66. 27–34. 9 indexed citations
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Redmer, Dale A., et al.. (2017). Corpora lutea in superovulated ewes fed different planes of nutrition. Domestic Animal Endocrinology. 62. 16–23. 13 indexed citations
9.
Navanukraw, C., et al.. (2016). Assessment of caprine corpora lutea growth, progesterone concentration, and eNOS expression: effect of a compensatory gain model. Domestic Animal Endocrinology. 56. 48–56. 1 indexed citations
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11.
Navanukraw, C., et al.. (2016). Lipid droplets in cultured luteal cells in non-pregnant sheep fed different planes of nutrition. Acta Histochemica. 118(6). 553–559. 9 indexed citations
12.
Grazul‐Bilska, Anna T., et al.. (2016). Lipid droplets in the ovine uterus during the estrous cycle: Effects of nutrition, arginine, and FSH. Theriogenology. 87. 212–220. 11 indexed citations
13.
Navanukraw, C., et al.. (2015). Synchronization of ovulation with human chorionic gonadotropin in lactating dairy cows with ovarian cysts during heat stress. Tropical Animal Health and Production. 47(5). 945–951. 5 indexed citations
14.
Moonmanee, Tossapol, et al.. (2013). Relationships among vasculature, mitotic activity, and endothelial nitric oxide synthase (eNOS) in bovine antral follicles of the first follicular wave. Domestic Animal Endocrinology. 45(1). 11–21. 20 indexed citations
15.
Huyen, Nguyen Thi, Metha Wanapat, & C. Navanukraw. (2012). Effect of Mulberry leaf pellet (MUP) supplementation on rumen fermentation and nutrient digestibility in beef cattle fed on rice straw-based diets. Animal Feed Science and Technology. 175(1-2). 8–15. 43 indexed citations
16.
Wanapat, Metha, et al.. (2010). Effects of Pelleted Cassava Chip and Raw Banana (Cass-Bann) on Rumen Fermentation and Utilization in Lactating Dairy Cows. Journal of Animal and Veterinary Advances. 9(17). 2239–2245. 6 indexed citations
17.
Luther, J. S., Anna T. Grazul‐Bilska, J. D. Kirsch, et al.. (2006). The effect of GnRH, eCG and progestin type on estrous synchronization following laparoscopic AI in ewes. Small Ruminant Research. 72(2-3). 227–231. 32 indexed citations
18.
Grazul‐Bilska, Anna T., Disha Pant, J. S. Luther, et al.. (2005). Pregnancy rates and gravid uterine parameters in single, twin and triplet pregnancies in naturally bred ewes and ewes after transfer of in vitro produced embryos. Animal Reproduction Science. 92(3-4). 268–283. 32 indexed citations
19.
Navanukraw, C., Dale A. Redmer, Lawrence P. Reynolds, et al.. (2004). A Modified Presynchronization Protocol Improves Fertility to Timed Artificial Insemination in Lactating Dairy Cows. Journal of Dairy Science. 87(5). 1551–1557. 118 indexed citations
20.
Redmer, Dale A., C. Navanukraw, Michelle Toutges, et al.. (2001). Effects of follicle stimulating hormone (FSH) on follicular development, oocyte retrieval, and in vitro fertilization (IVF) in ewes during breeding season and seasonal anestrus. Theriogenology. 56(1). 51–64. 47 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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