Tadashi Noguchi
- Molecular Biology top 10%
- Nutrition and Dietetics top 2%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Animal Science and Zoology top 2%
- Co-authors
- Hiroshi NaitoH. KatoZhengwei FuYeon Sook LeeShin‐Ichiro TakahashiAsako TakenakaYutaka MiuraMakoto KANDATSU
- Topics
- Growth Hormone and Insulin-like Growth Factors (27 papers)Muscle metabolism and nutrition (26 papers)Metabolism, Diabetes, and Cancer (15 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Tadashi Noguchi
106 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.1k
- Nutrition and Dietetics 464
- Physiology 389
- Endocrinology, Diabetes and Metabolism 386
- Animal Science and Zoology 319
Countries citing papers authored by Tadashi Noguchi
This map shows the geographic impact of Tadashi 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 Tadashi Noguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Noguchi more than expected).
Fields of papers citing papers by Tadashi Noguchi
This network shows the impact of papers produced by Tadashi 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 Tadashi Noguchi. The network helps show where Tadashi Noguchi may publish in the future.
Co-authorship network of co-authors of Tadashi Noguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Noguchi. A scholar is included among the top collaborators of Tadashi 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 Tadashi Noguchi. Tadashi 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 | 10 | |
| 2 | 17 | |
| 3 | 2 | |
| 4 | 82 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 17 | |
| 8 | Mutagenicity Study of Carbon Tetrachloride and Chloroform with Microbial Mutagenicity Test and Rat Liver Micronucleus Test | 2 |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 75 | |
| 13 | 34 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 26 | |
| 17 | 25 | |
| 18 | 4 | |
| 19 | 18 | |
| 20 | 9 |
About Tadashi Noguchi
Tadashi Noguchi is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism and Chemical Health and Safety, having authored 106 papers that have together received 2.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (27 papers), Muscle metabolism and nutrition (26 papers) and Metabolism, Diabetes, and Cancer (15 papers). The work is most often cited by research in Animal Science and Zoology (319 citations), Nutrition and Dietetics (464 citations) and Endocrinology, Diabetes and Metabolism (386 citations). Tadashi Noguchi has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Hiroshi Naito, H. Kato, Zhengwei Fu, Yeon Sook Lee, Shin‐Ichiro Takahashi, Asako Takenaka, Yutaka Miura, Makoto KANDATSU, Yuichi Oishi and A. H. Cantor. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Scientific Reports.
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.