Tetsuya Noguchi
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology
- Genetics
- Co-authors
- Tetsuro SugisakiKen TakamatsuYasuzo TsukadaShigeharu SaitohMasaaki KobayashiMotoshige KudoSimon FreedMasayuki Miura
- Topics
- Growth Hormone and Insulin-like Growth Factors (8 papers)Neuroscience and Neuropharmacology Research (8 papers)Adipose Tissue and Metabolism (6 papers)
- Cited by
- Developmental NeuroscienceEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Tetsuya Noguchi
42 papers receiving 785 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 420
- Cellular and Molecular Neuroscience 263
- Endocrinology, Diabetes and Metabolism 241
- Physiology 180
- Genetics 89
Countries citing papers authored by Tetsuya Noguchi
This map shows the geographic impact of Tetsuya Noguchi'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 Tetsuya Noguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Noguchi more than expected).
Fields of papers citing papers by Tetsuya Noguchi
This network shows the impact of papers produced by Tetsuya Noguchi. 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 Tetsuya Noguchi. The network helps show where Tetsuya Noguchi may publish in the future.
Co-authorship network of co-authors of Tetsuya Noguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Noguchi. A scholar is included among the top collaborators of Tetsuya Noguchi 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 Tetsuya Noguchi. Tetsuya Noguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 5 | |
| 5 | 26 | |
| 6 | 28 | |
| 7 | 16 | |
| 8 | 66 | |
| 9 | 16 | |
| 10 | 90 | |
| 11 | 3 | |
| 12 | 25 | |
| 13 | 6 | |
| 14 | 17 | |
| 15 | 14 | |
| 16 | 35 | |
| 17 | 14 | |
| 18 | 10 | |
| 19 | 43 | |
| 20 | 25 |
About Tetsuya Noguchi
Tetsuya Noguchi is a scholar working on Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 818 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Neuroscience and Neuropharmacology Research (8 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Developmental Neuroscience (83 citations), Endocrinology, Diabetes and Metabolism (241 citations) and Cellular and Molecular Neuroscience (263 citations). Tetsuya Noguchi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Tetsuro Sugisaki, Ken Takamatsu, Yasuzo Tsukada, Shigeharu Saitoh, Masaaki Kobayashi, Motoshige Kudo, Simon Freed, Masayuki Miura, Masaaki Kobayashi and Masayuki Watanabe. Their work appears in journals such as Chemical Communications, Brain Research and Biochemical and Biophysical Research Communications.
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.