I. Nonaka

1.4k citations
52 papers · 1.1k indexed · h-index 14

Impact in

Papers in

I. Nonaka

47 papers receiving 1.0k citations

Peers

I. Nonaka
Comparison fields: 5 of 91
  • Agronomy and Crop Science 668
  • Animal Science and Zoology 384
  • Small Animals 144
  • Forestry 75
  • Nutrition and Dietetics 102
Replace Sarah J. Meale with:
Sarah J. Meale Australia
M. Spanghero Italy
P. A. Ludden United States
Daniel Sauvant France
Thierry Ribeiro Tomich Brazil
J. T. Vasconcelos United States
Peter Lebzien Germany
Sarah E. Hook Canada
Fenja Klevenhusen Austria
Naifeng Zhang China
I. Nonaka relative to Sarah J. Meale Australia Sarah J. Meale's profile →
Citations per field
00.5×1.7×
Sarah J. Meale · 1×
Citations per year

Countries citing papers authored by I. Nonaka

Since Specialization
Citations

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

Fields of papers citing papers by I. Nonaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20243
5 20234
6 202114
7 20141
8 201316
9 20120
10 2011114
11 20103
12 20102
13 2009280
14 200766
15 200620
16 200413
17 20032
18 20034
19
[Myositis and rhabdomyolysis with influenza infection].
20007
20
[Cardiomyopathy in Becker muscular dystrophy].
199017

About I. Nonaka

I. Nonaka is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Clinical Biochemistry, Genetics and Cell Biology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (20 papers), Effects of Environmental Stressors on Livestock (13 papers), Muscle Physiology and Disorders (7 papers), Reproductive Physiology in Livestock (7 papers), Agriculture Sustainability and Environmental Impact (7 papers), Genetic and phenotypic traits in livestock (6 papers), Meat and Animal Product Quality (6 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Agronomy and Crop Science (668 citations), Animal Science and Zoology (384 citations), Small Animals (144 citations), Forestry (75 citations) and Nutrition and Dietetics (102 citations). I. Nonaka has collaborated with scholars based in Japan, Australia and South Korea. Frequent co-authors include Mitsunori KURIHARA, Kiyoshi Tajima, A. Takénaka, O. Enishi, Raghavendra Bhatta, N. Takusari, Koji Higuchi, Yutaka Uyeno, Makoto Mitsumori and Hachiro Kamada. Their work appears in journals such as Animal Science Journal, Asian-Australasian Journal of Animal Sciences, Journal of Dairy Science, The Journal of Agricultural Science and Scientific Reports.

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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