Ryutaro Fujinaga
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Genetics
- Behavioral Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Koh ShinodaAkie YanaiMayumi TanakaYukio TakeshitaChangjiu ZhaoJune KawanoYoshifumi WatanabeMir Rubayet Jahan
- Topics
- Genetic Neurodegenerative Diseases (7 papers)Mitochondrial Function and Pathology (6 papers)Hypothalamic control of reproductive hormones (5 papers)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Ryutaro Fujinaga
21 papers receiving 491 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 216
- Molecular Biology 141
- Genetics 139
- Behavioral Neuroscience 84
- Endocrinology, Diabetes and Metabolism 66
Countries citing papers authored by Ryutaro Fujinaga
This map shows the geographic impact of Ryutaro Fujinaga'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 Ryutaro Fujinaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryutaro Fujinaga more than expected).
Fields of papers citing papers by Ryutaro Fujinaga
This network shows the impact of papers produced by Ryutaro Fujinaga. 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 Ryutaro Fujinaga. The network helps show where Ryutaro Fujinaga may publish in the future.
Co-authorship network of co-authors of Ryutaro Fujinaga
This figure shows the co-authorship network connecting the top 25 collaborators of Ryutaro Fujinaga. A scholar is included among the top collaborators of Ryutaro Fujinaga 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 Ryutaro Fujinaga. Ryutaro Fujinaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 33 | |
| 3 | Histomorphological study on prenatal development of the lymphoid organs of native chickens of Bangladesh. | 6 |
| 4 | 20 | |
| 5 | 14 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 19 | |
| 10 | 22 | |
| 11 | 21 | |
| 12 | 44 | |
| 13 | 53 | |
| 14 | IA-11 Comparative distributions of Huntingtin-associated protein 1 (HAP1) and androgen receptor (AR) in the rat brain and their functional interaction in vitro(THE 46TH ANNUAL MEETING OF THE JAPAN SOCIETY OF HISTOCHEMISTRY AND CYTOCHEMISTRY) : | 3 |
| 15 | 94 | |
| 16 | 40 | |
| 17 | 20 | |
| 18 | 3 | |
| 19 | 11 | |
| 20 | 22 |
About Ryutaro Fujinaga
Ryutaro Fujinaga is a scholar working on Reproductive Medicine, Aging and Behavioral Neuroscience, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers) and Hypothalamic control of reproductive hormones (5 papers). The work is most often cited by research in Behavioral Neuroscience (84 citations), Cellular and Molecular Neuroscience (216 citations) and Developmental Neuroscience (47 citations). Ryutaro Fujinaga has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Koh Shinoda, Akie Yanai, Mayumi Tanaka, Yukio Takeshita, Changjiu Zhao, June Kawano, Yoshifumi Watanabe, Mir Rubayet Jahan, Md Nabiul Islam and Ken‐ichi Nakahama. Their work appears in journals such as The Journal of Comparative Neurology, Neuroscience and Human Molecular Genetics.
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.