P. Akamine
Impact in
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- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Biochemical and Molecular Research
- Chemical Synthesis and Analysis
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- Microtubule and mitosis dynamics
Papers in
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- Chemical Synthesis and Analysis 2
- Protein Kinase Regulation and GTPase Signaling 2
- Enzyme function and inhibition 1
- Biochemical and Molecular Research 1
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- Enzyme Structure and Function 3
- Co-authors
- Susan S. Taylor (4 shared papers)M. D. Madhusudan (2 shared papers)Nguyen‐Huu Xuong (2 shared papers)Jian Wu (3 shared papers)Lynn F. Ten Eyck (1 shared paper)Qingsong Lin (1 shared paper)Ganesh S. Anand (2 shared papers)Kunchithapadam Swaminathan (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (1 paper)Journal of Molecular Biology (1 paper)Nature Structural Biology (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
P. Akamine
4 papers receiving 354 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 329
- Cell Biology 49
- Computational Theory and Mathematics 39
- Materials Chemistry 109
- Spectroscopy 30
Countries citing papers authored by P. Akamine
This map shows the geographic impact of P. Akamine'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 P. Akamine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Akamine more than expected).
Fields of papers citing papers by P. Akamine
This network shows the impact of papers produced by P. Akamine. 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 P. Akamine. The network helps show where P. Akamine may publish in the future.
Co-authors
The 11 scholars most cited alongside P. Akamine, 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 | 2002 | 173 | |
| 2 | 2003 | 119 | |
| 3 | 2010 | 58 | |
| 4 | Cyclicamp Analog Blocks Kinase Activation by Stabilizing Inactive Conformation: Conformational Selection Highlights a New Concept in Allosteric Inhibitor Design | 2013 | 5 |
About P. Akamine
P. Akamine is a scholar working on Molecular Biology, Materials Chemistry, Pathology and Forensic Medicine, Toxicology and Spectroscopy, having authored 4 papers that have together received 355 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), Chemical Synthesis and Analysis (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Enzyme function and inhibition (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Mass Spectrometry Techniques and Applications (1 paper), Biochemical and Molecular Research (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Molecular Biology (329 citations), Cell Biology (49 citations), Computational Theory and Mathematics (39 citations), Materials Chemistry (109 citations) and Spectroscopy (30 citations). P. Akamine has collaborated with scholars based in United States and Singapore. Frequent co-authors include Susan S. Taylor, M. D. Madhusudan, Nguyen‐Huu Xuong, Jian Wu, Lynn F. Ten Eyck, Qingsong Lin, Ganesh S. Anand, Kunchithapadam Swaminathan, Choel Kim and Mark Ritchie. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Molecular Biology, Nature Structural Biology and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.