Tsuyoshi Iida
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
Papers in
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- Pluripotent Stem Cells Research 8
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- Respiratory viral infections research 3
- Co-authors
- Kevin Catt (7 shared papers)Stanko S. Stojilković (6 shared papers)F Merelli (3 shared papers)Hideyuki Okano (9 shared papers)Masaya Nakamura (9 shared papers)Jun Kohyama (7 shared papers)Keiko Sugai (6 shared papers)Go Itakura (6 shared papers)
- Journals
- Endocrinology (2 papers)Stem Cells (2 papers)Stem Cells Translational Medicine (2 papers)Stem Cell Reports (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tsuyoshi Iida
39 papers receiving 960 citations
Peers
Comparison fields: 5 of 96
- Developmental Neuroscience 116
- Reproductive Medicine 141
- Cellular and Molecular Neuroscience 244
- Genetics 134
- Microbiology 60
Countries citing papers authored by Tsuyoshi Iida
This map shows the geographic impact of Tsuyoshi Iida'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 Tsuyoshi Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Iida more than expected).
Fields of papers citing papers by Tsuyoshi Iida
This network shows the impact of papers produced by Tsuyoshi Iida. 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 Tsuyoshi Iida. The network helps show where Tsuyoshi Iida may publish in the future.
Co-authors
The 25 scholars most cited alongside Tsuyoshi Iida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 97 | |
| 2 | 2018 | 95 | |
| 3 | 2016 | 75 | |
| 4 | 1992 | 72 | |
| 5 | 1991 | 67 | |
| 6 | 2018 | 65 | |
| 7 | 1992 | 57 | |
| 8 | 1991 | 43 | |
| 9 | 1991 | 42 | |
| 10 | 2017 | 37 | |
| 11 | 1971 | 35 | |
| 12 | 2017 | 31 | |
| 13 | 1992 | 27 | |
| 14 | 2020 | 24 | |
| 15 | 2017 | 22 | |
| 16 | 1990 | 22 | |
| 17 | 1963 | 19 | |
| 18 | 1992 | 18 | |
| 19 | 1956 | 16 | |
| 20 | 1965 | 15 |
About Tsuyoshi Iida
Tsuyoshi Iida is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Physiology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 998 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Bacterial Infections and Vaccines (4 papers), Mesenchymal stem cell research (3 papers), Hypothalamic control of reproductive hormones (3 papers), Parasites and Host Interactions (3 papers), Respiratory viral infections research (3 papers), Vector-borne infectious diseases (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (116 citations), Reproductive Medicine (141 citations), Cellular and Molecular Neuroscience (244 citations), Genetics (134 citations) and Microbiology (60 citations). Tsuyoshi Iida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kevin Catt, Stanko S. Stojilković, F Merelli, Hideyuki Okano, Masaya Nakamura, Jun Kohyama, Keiko Sugai, Go Itakura, Morio Matsumoto and Narihito Nagoshi. Their work appears in journals such as Endocrinology, Stem Cells, Stem Cells Translational Medicine, Stem Cell Reports and Journal of Biological Chemistry.
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.