Naoki Nishino
- Molecular Biology top 5%
- Agronomy and Crop Science top 0.2%
- Cellular and Molecular Neuroscience top 2%
- Food Science top 1%
- Animal Science and Zoology top 1%
- Co-authors
- Chikako TanakaJames C. PowersTakeshi HashimotoTatsuo MitaTsutomu NishidaHisao NakaiTakeshi TsurutaYanbing Li
- Topics
- Ruminant Nutrition and Digestive Physiology (52 papers)Probiotics and Fermented Foods (31 papers)Gut microbiota and health (20 papers)
In The Last Decade
Naoki Nishino
141 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.6k
- Agronomy and Crop Science 1.4k
- Cellular and Molecular Neuroscience 850
- Food Science 707
- Animal Science and Zoology 463
Countries citing papers authored by Naoki Nishino
This map shows the geographic impact of Naoki Nishino'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 Naoki Nishino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Nishino more than expected).
Fields of papers citing papers by Naoki Nishino
This network shows the impact of papers produced by Naoki Nishino. 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 Naoki Nishino. The network helps show where Naoki Nishino may publish in the future.
Co-authorship network of co-authors of Naoki Nishino
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Nishino. A scholar is included among the top collaborators of Naoki Nishino 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 Naoki Nishino. Naoki Nishino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 19 | |
| 4 | 10 | |
| 5 | 91 | |
| 6 | 9 | |
| 7 | Potential nutritive value of selected browse species from Kenya using in vitro gas production technique and polyethylene glycol | 13 |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 81 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | Effects of cell wall degrading enzymes and lactic acid bacteria on the fermentation of rhodes grass silage stored at various ambient temperature（共著） | 0 |
| 14 | 10 | |
| 15 | 0 | |
| 16 | Nitrogen Utilization of Goats Fed Silage with or without Supplements Having Different Rumen Degradability(共著) | 2 |
| 17 | 5 | |
| 18 | 41 | |
| 19 | 1 | |
| 20 | 3 |
About Naoki Nishino
Naoki Nishino is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Food Science, having authored 146 papers that have together received 4.2k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (52 papers), Probiotics and Fermented Foods (31 papers) and Gut microbiota and health (20 papers). The work is most often cited by research in Agronomy and Crop Science (1.4k citations), Cellular and Molecular Neuroscience (850 citations) and Animal Science and Zoology (463 citations). Naoki Nishino has collaborated with scholars based in Japan, China and Vietnam. Frequent co-authors include Chikako Tanaka, James C. Powers, Takeshi Hashimoto, Tatsuo Mita, Tsutomu Nishida, Hisao Nakai, Takeshi Tsuruta, Yanbing Li, Satoru Nakai and Masaaki Takano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.
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.