Mami Okada
Impact in
- Parasitology top 2%
- Parasitic Infections and Diagnostics
- Infectious Diseases top 5%
- Amoebic Infections and Treatments
Papers in
-
- Amoebic Infections and Treatments 5
-
- Neural dynamics and brain function 3
- Co-authors
- Tomoyoshi Nozaki (5 shared papers)Barbara J. Mann (3 shared papers)William A. Petri (3 shared papers)Kiyoshi Kita (2 shared papers)Christopher D. Huston (2 shared papers)Yuji Ikegaya (4 shared papers)Brian M. Cooke (1 shared paper)Christine Scheidig‐Benatar (1 shared paper)
- Journals
- Molecular and Biochemical Parasitology (2 papers)PLoS ONE (2 papers)Journal of Neurophysiology (1 paper)FEBS Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Mami Okada
20 papers receiving 594 citations
Peers
Comparison fields: 5 of 85
- Parasitology 214
- Infectious Diseases 320
- Surgery 207
- Behavioral Neuroscience 13
- Endocrinology 18
Countries citing papers authored by Mami Okada
This map shows the geographic impact of Mami Okada'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 Mami Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mami Okada more than expected).
Fields of papers citing papers by Mami Okada
This network shows the impact of papers produced by Mami Okada. 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 Mami Okada. The network helps show where Mami Okada may publish in the future.
Co-authors
The 25 scholars most cited alongside Mami Okada, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 134 | |
| 2 | 2005 | 108 | |
| 3 | 2005 | 73 | |
| 4 | 2010 | 70 | |
| 5 | 2018 | 49 | |
| 6 | 2005 | 37 | |
| 7 | 2006 | 30 | |
| 8 | 2010 | 21 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 14 | |
| 11 | 2013 | 12 | |
| 12 | 2016 | 10 | |
| 13 | 2002 | 7 | |
| 14 | 2022 | 3 | |
| 15 | 2012 | 3 | |
| 16 | 2010 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2006 | 1 | |
| 19 | 2021 | 1 | |
| 20 | Polyamine Distribution Profiles among Some Members within Delta-and Epsilon-Subclasses of Proteobacteria | 2004 | 1 |
About Mami Okada
Mami Okada is a scholar working on Infectious Diseases, Cognitive Neuroscience, Parasitology, Molecular Biology and Surgery, having authored 21 papers that have together received 597 indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (5 papers), Parasitic Infections and Diagnostics (5 papers), Neural dynamics and brain function (3 papers), Medical Imaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Neonatal Health and Biochemistry (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Parasitology (214 citations), Infectious Diseases (320 citations), Surgery (207 citations), Behavioral Neuroscience (13 citations) and Endocrinology (18 citations). Mami Okada has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tomoyoshi Nozaki, Barbara J. Mann, William A. Petri, Kiyoshi Kita, Christopher D. Huston, Yuji Ikegaya, Brian M. Cooke, Christine Scheidig‐Benatar, Marta C. Nunes and Artur Scherf. Their work appears in journals such as Molecular and Biochemical Parasitology, PLoS ONE, Journal of Neurophysiology, FEBS Letters and Nature Communications.
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.