Tetsushi Iwasaki
- Reproductive Medicine top 2%
- Sperm and Testicular Function 16
- Physiology top 2%
- Telomeres, Telomerase, and Senescence 4
- Aging top 5%
- Biochemistry top 5%
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- Reproductive Biology and Fertility 19
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- Protein Kinase Regulation and GTPase Signaling 7
- Cell death mechanisms and regulation 6
- Melanoma and MAPK Pathways 4
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- Cytokine Signaling Pathways and Interactions 6
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- Microtubule and mitosis dynamics 4
- Co-authors
- Yasuo FukamiAlexander A. TokmakovKen‐ichi SatoKenichi SatoK. OgawaChikako NishigoriMasahiro OkaKeiichi Sakakibara
- Cited by
- Reproductive MedicinePhysiologyAging
- Journals
- Journal of Biological Chemistry (6 papers)Development (1 paper)Scientific Reports (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tetsushi Iwasaki
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Reproductive Medicine 372
- Physiology 117
- Aging 42
- Biochemistry 128
- Public Health, Environmental and Occupational Health 410
Countries citing papers authored by Tetsushi Iwasaki
This map shows the geographic impact of Tetsushi Iwasaki'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 Tetsushi Iwasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsushi Iwasaki more than expected).
Fields of papers citing papers by Tetsushi Iwasaki
This network shows the impact of papers produced by Tetsushi Iwasaki. 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 Tetsushi Iwasaki. The network helps show where Tetsushi Iwasaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsushi Iwasaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2021 | 9 | |
| 4 | 2019 | 75 | |
| 5 | 2019 | 1 | |
| 6 | 2017 | 42 | |
| 7 | 2016 | 5 | |
| 8 | 2012 | 85 | |
| 9 | 2009 | 9 | |
| 10 | 2005 | 51 | |
| 11 | 2005 | 46 | |
| 12 | 2005 | 7 | |
| 13 | CELL BEHAVIOR DATABASE (1) : ITS CONSTRUCTION AND USAGE IN RESEARCH AND EDUCATION(Cell Biology and Morphology,Abstracts of papers presented at the 75^ Annual Meeting of the Zoological Society of Japan) | 2004 | 2 |
| 14 | 2004 | 25 | |
| 15 | 2003 | 67 | |
| 16 | 2002 | 6 | |
| 17 | 2002 | 10 | |
| 18 | 2001 | 45 | |
| 19 | 2000 | 111 | |
| 20 | 1999 | 77 |
About Tetsushi Iwasaki
Tetsushi Iwasaki is a scholar working on Reproductive Medicine, Physiology and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (19 papers), Sperm and Testicular Function (16 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Cell death mechanisms and regulation (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Microtubule and mitosis dynamics (4 papers), Melanoma and MAPK Pathways (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Reproductive Medicine (372 citations), Physiology (117 citations) and Aging (42 citations). Tetsushi Iwasaki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yasuo Fukami, Alexander A. Tokmakov, Ken‐ichi Sato, Kenichi Sato, K. Ogawa, Chikako Nishigori, Masahiro Oka, Keiichi Sakakibara, Shino Hirahara and Yasuhiro Iwao. Their work appears in journals such as Journal of Biological Chemistry, Development 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.