C. Navanukraw

1.1k citations
39 papers · 937 · h-index 16

Impact in

Papers in

C. Navanukraw

39 papers receiving 891 citations

Peers

C. Navanukraw
Comparison fields: 5 of 72
  • Agronomy and Crop Science 691
  • Forestry 52
  • Animal Science and Zoology 123
  • Genetics 281
  • Reproductive Medicine 79
Replace H. Atashi with:
H. Atashi Iran
D.J. Carroll United States
K. Rezayazdi Iran
R.S. Kensinger United States
Marco Antônio Sundfeld da Gama Brazil
Pedram Rezamand United States
G. A. Apgar United States
Arlindo Saran Netto Brazil
J. Proulx Canada
B.S. Oldick United States
C. Navanukraw relative to H. Atashi Iran H. Atashi's profile →
Citations per field
00.5×5.8×
H. Atashi · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009129
2 2004121
3 201083
4 200750
5 200147
6 200345
7 201244
8 201239
9 200639
10 200533
11 200633
12 200726
13 201024
14 201320
15 202119
16 200418
17 201715
18 201714
19 201813
20 201612

About C. Navanukraw

C. Navanukraw is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Genetics, Immunology and Reproductive Medicine, having authored 39 papers that have together received 937 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (25 papers), Reproductive Biology and Fertility (17 papers), Ruminant Nutrition and Digestive Physiology (9 papers), Genetic and phenotypic traits in livestock (8 papers), Reproductive System and Pregnancy (6 papers), Ovarian function and disorders (5 papers), Agroforestry and silvopastoral systems (4 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Agronomy and Crop Science (691 citations), Forestry (52 citations), Animal Science and Zoology (123 citations), Genetics (281 citations) and Reproductive Medicine (79 citations). C. Navanukraw has collaborated with scholars based in Thailand, United States and Taiwan. Frequent 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. Their work appears in journals such as Theriogenology, Livestock Science, Domestic Animal Endocrinology, Animal Reproduction Science and Acta Histochemica.

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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