Akira Ishikawa
- Genetics top 2%
- Molecular Biology top 10%
- Surgery top 10%
- Physiology top 10%
- Neurology top 5%
- Co-authors
- Hiroshi MienoTakao NAMIKAWAGiichi TomizawaMichio AmagasaTetsuo ShigaMotoko SasakiHitoshi TakahashiMasaoki Tsudzuki
- Topics
- Genetic Mapping and Diversity in Plants and Animals (46 papers)Genetic and phenotypic traits in livestock (36 papers)Animal Nutrition and Physiology (21 papers)
- Journals
- Journal of Biological ChemistryNature GeneticsSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Akira Ishikawa
198 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Genetics 820
- Molecular Biology 707
- Surgery 434
- Physiology 349
- Neurology 292
Countries citing papers authored by Akira Ishikawa
This map shows the geographic impact of Akira Ishikawa'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 Akira Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Ishikawa more than expected).
Fields of papers citing papers by Akira Ishikawa
This network shows the impact of papers produced by Akira Ishikawa. 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 Akira Ishikawa. The network helps show where Akira Ishikawa may publish in the future.
Co-authorship network of co-authors of Akira Ishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Ishikawa. A scholar is included among the top collaborators of Akira Ishikawa 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 Akira Ishikawa. Akira Ishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 38 | |
| 6 | 0 | |
| 7 | Effectiveness of a Community-based Periodontal Disease Prevention Program Focused on the Use of Interdental Brushes | 1 |
| 8 | 17 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | An Event-Based Semantics for Japanese Emphatic Particles | 1 |
| 13 | 41 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | Validity of the Cross Test to Evaluate the Equilibrium Function Test | 0 |
| 18 | [An analysis of recent regional fertility changes: effect of changes in marital structure] | 1 |
| 19 | [Occupational differences in life expectancy for males: 1980]. | 2 |
| 20 | [A study on family types and the employment status of married women in Japan]. | 3 |
About Akira Ishikawa
Akira Ishikawa is a scholar working on Aging, Genetics and Animal Science and Zoology, having authored 223 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (46 papers), Genetic and phenotypic traits in livestock (36 papers) and Animal Nutrition and Physiology (21 papers). The work is most often cited by research in Genetics (820 citations), Periodontics (128 citations) and Animal Science and Zoology (243 citations). Akira Ishikawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroshi Mieno, Takao NAMIKAWA, Giichi Tomizawa, Michio Amagasa, Tetsuo Shiga, Motoko Sasaki, Hitoshi Takahashi, Masaoki Tsudzuki, Shusaku Ohira and Yasunori Sato. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and SHILAP Revista de lepidopterología.
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.