H. Itabashi
- Agronomy and Crop Science top 1%
- Molecular Biology
- Animal Science and Zoology top 5%
- Genetics
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- N. MohammedZeenat Ara LilaR. OnoderaT. KamadaYuzo KurokawaKoji HaraHiroshi MinatoTakashi Yasui
- Topics
- Ruminant Nutrition and Digestive Physiology (20 papers)Biofuel production and bioconversion (4 papers)Analytical Chemistry and Chromatography (3 papers)
In The Last Decade
H. Itabashi
45 papers receiving 699 citations
Peers
Comparison fields: 5 of 87
- Agronomy and Crop Science 518
- Molecular Biology 157
- Animal Science and Zoology 127
- Genetics 121
- Ecology, Evolution, Behavior and Systematics 94
Countries citing papers authored by H. Itabashi
This map shows the geographic impact of H. Itabashi'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 H. Itabashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Itabashi more than expected).
Fields of papers citing papers by H. Itabashi
This network shows the impact of papers produced by H. Itabashi. 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 H. Itabashi. The network helps show where H. Itabashi may publish in the future.
Co-authorship network of co-authors of H. Itabashi
This figure shows the co-authorship network connecting the top 25 collaborators of H. Itabashi. A scholar is included among the top collaborators of H. Itabashi 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 H. Itabashi. H. Itabashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 32 | |
| 4 | Use of combined ion-exclusion and cation-exchange chromatography to study photooxidation of ionic nitrogen compounds on a titanium dioxide photocatalyst | 5 |
| 5 | 7 | |
| 6 | 22 | |
| 7 | 30 | |
| 8 | 106 | |
| 9 | 97 | |
| 10 | 43 | |
| 11 | 120 | |
| 12 | 0 | |
| 13 | Peptide metabolism and its efficiency in ruminant production | 6 |
| 14 | The role of carbohydrate supplementation in microbial protein synthesis in the rumen. | 4 |
| 15 | 8 | |
| 16 | Effects of ethanol on rumen fermentation pattern in steers fed a diet high in concentrate | 2 |
| 17 | Effect of protozoa on nutritional characteristics of ruminant. | 3 |
| 18 | The nutritional significance of rumen protozoa. | 8 |
| 19 | 45 | |
| 20 | 13 |
About H. Itabashi
H. Itabashi is a scholar working on Agronomy and Crop Science, Bioengineering and Industrial and Manufacturing Engineering, having authored 48 papers that have together received 770 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (20 papers), Biofuel production and bioconversion (4 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Agronomy and Crop Science (518 citations), Animal Science and Zoology (127 citations) and Forestry (43 citations). H. Itabashi has collaborated with scholars based in Japan and Malaysia. Frequent co-authors include N. Mohammed, Zeenat Ara Lila, R. Onodera, T. Kamada, Yuzo Kurokawa, Koji Hara, Hiroshi Minato, Takashi Yasui, Katsuhiko Mikuni and S. Hoshino. Their work appears in journals such as Development, Journal of Dairy Science and British Journal Of Nutrition.
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.