Mami Ishida
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
Papers in
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- Axon Guidance and Neuronal Signaling 8
- Neuroscience and Neuropharmacology Research 6
- Neurobiology and Insect Physiology Research 2
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- Biochemical and Structural Characterization 2
- Co-authors
- Yasuyoshi Arimatsu (9 shared papers)Hiroshi Takahashi (5 shared papers)Kaoru Takahashi (4 shared papers)Sachiyo Ichinose (1 shared paper)Akira Omori (1 shared paper)Takeshi Kaneko (1 shared paper)Hajime Komano (1 shared paper)Keiko Takiguchi‐Hayashi (2 shared papers)
In The Last Decade
Mami Ishida
33 papers receiving 606 citations
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 124
- Cellular and Molecular Neuroscience 248
- Cognitive Neuroscience 102
- Sensory Systems 24
- Developmental Biology 9
Countries citing papers authored by Mami Ishida
This map shows the geographic impact of Mami Ishida'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 Ishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mami Ishida more than expected).
Fields of papers citing papers by Mami Ishida
This network shows the impact of papers produced by Mami Ishida. 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 Ishida. The network helps show where Mami Ishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Mami Ishida, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 78 | |
| 2 | 2008 | 57 | |
| 3 | 1991 | 52 | |
| 4 | 2009 | 44 | |
| 5 | 1999 | 41 | |
| 6 | 1999 | 35 | |
| 7 | 1994 | 34 | |
| 8 | 2015 | 32 | |
| 9 | 2003 | 30 | |
| 10 | 2002 | 26 | |
| 11 | 2020 | 25 | |
| 12 | 1998 | 22 | |
| 13 | 1998 | 21 | |
| 14 | 2008 | 16 | |
| 15 | 2006 | 15 | |
| 16 | 2005 | 11 | |
| 17 | 2009 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2009 | 8 | |
| 20 | 2012 | 8 |
About Mami Ishida
Mami Ishida is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Nephrology, Developmental Neuroscience and Epidemiology, having authored 36 papers that have together received 619 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Renal Diseases and Glomerulopathies (5 papers), Neurobiology and Insect Physiology Research (2 papers), Pain Mechanisms and Treatments (2 papers), Biochemical and Structural Characterization (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Developmental Neuroscience (124 citations), Cellular and Molecular Neuroscience (248 citations), Cognitive Neuroscience (102 citations), Sensory Systems (24 citations) and Developmental Biology (9 citations). Mami Ishida has collaborated with scholars based in Japan, Taiwan and Sweden. Frequent co-authors include Yasuyoshi Arimatsu, Hiroshi Takahashi, Kaoru Takahashi, Sachiyo Ichinose, Akira Omori, Takeshi Kaneko, Hajime Komano, Keiko Takiguchi‐Hayashi, Yoshihiko Uratani and Hidemitsu Kobayashi. Their work appears in journals such as Neuroscience, Brain Research, Biochemical and Biophysical Research Communications, Infection and Immunity and Clinical Nephrology.
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.