Keiko Yamada
- Biochemistry top 2%
- Cell Biology top 2%
- Skin and Cellular Biology Research 3
- Calpain Protease Function and Regulation 3
- Immunology top 10%
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling 9
- Lipid Membrane Structure and Behavior 4
- Peroxisome Proliferator-Activated Receptors 3
- Microbiology top 5%
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- Ocular Surface and Contact Lens 5
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- Corneal Surgery and Treatments 4
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- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Fumio SakaneHideo KanohNorio MatsushimaShin-ichi ImaiTakanori TanakaYoshio KurokiTomoko MikamiPurevjav Enkhbayar
- Cited by
- BiochemistryCell BiologyImmunology
- Journals
- Journal of Biological Chemistry (4 papers)British Journal of Ophthalmology (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Keiko Yamada
43 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 95
- Biochemistry 256
- Cell Biology 518
- Immunology 387
- Molecular Biology 1.2k
- Microbiology 92
Countries citing papers authored by Keiko Yamada
This map shows the geographic impact of Keiko Yamada'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 Keiko Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Yamada more than expected).
Fields of papers citing papers by Keiko Yamada
This network shows the impact of papers produced by Keiko Yamada. 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 Keiko Yamada. The network helps show where Keiko Yamada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keiko Yamada, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 0 | |
| 5 | 2019 | 7 | |
| 6 | 2015 | 7 | |
| 7 | 2014 | 8 | |
| 8 | 2009 | 16 | |
| 9 | 2007 | 71 | |
| 10 | 2004 | 54 | |
| 11 | 2002 | 85 | |
| 12 | 2001 | 25 | |
| 13 | 1999 | 34 | |
| 14 | 1996 | 58 | |
| 15 | 1995 | 11 | |
| 16 | 1994 | 7 | |
| 17 | Sequential MR images of uterus after Gd-DTPA injection | 1993 | 1 |
| 18 | 1991 | 46 | |
| 19 | 1989 | 110 | |
| 20 | 1989 | 46 |
About Keiko Yamada
Keiko Yamada is a scholar working on Biochemistry, Cell Biology and Developmental Neuroscience, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Ocular Surface and Contact Lens (5 papers), Corneal Surgery and Treatments (4 papers), Lipid Membrane Structure and Behavior (4 papers), Skin and Cellular Biology Research (3 papers), Calpain Protease Function and Regulation (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Biochemistry (256 citations), Cell Biology (518 citations) and Immunology (387 citations). Keiko Yamada has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Fumio Sakane, Hideo Kanoh, Norio Matsushima, Shin-ichi Imai, Takanori Tanaka, Yoshio Kuroki, Tomoko Mikami, Purevjav Enkhbayar, Terukatsu Sasaki and Tadashi Tanabe. Their work appears in journals such as Journal of Biological Chemistry, British Journal of Ophthalmology, Biochemical and Biophysical Research Communications, Biochimica et Biophysica Acta (BBA) - Biomembranes and FEBS Letters.
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.