Saeko Ishida
Impact in
- Psychiatry and Mental health top 5%
- Epilepsy research and treatment
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
- Genomics and Rare Diseases
Papers in
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- CRISPR and Genetic Engineering 6
- Ion channel regulation and function 4
- Pluripotent Stem Cells Research 3
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- Cellular transport and secretion 4
- Co-authors
- Stéphanie Baulac (8 shared papers)Éric Leguern (6 shared papers)Fabienne Picard (3 shared papers)Elise Marsan (4 shared papers)Tomoji Mashimo (13 shared papers)Richard Miles (3 shared papers)Maïlys Daniau (2 shared papers)Michel Baulac (2 shared papers)
- Journals
- Human Molecular Genetics (2 papers)Neurobiology of Disease (2 papers)Cell Reports (1 paper)Experimental Hematology (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Saeko Ishida
19 papers receiving 739 citations
Peers
Comparison fields: 5 of 66
- Psychiatry and Mental health 182
- Genetics 286
- Cellular and Molecular Neuroscience 174
- Cell Biology 89
- Molecular Biology 358
Countries citing papers authored by Saeko Ishida
This map shows the geographic impact of Saeko 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 Saeko Ishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeko Ishida more than expected).
Fields of papers citing papers by Saeko Ishida
This network shows the impact of papers produced by Saeko 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 Saeko Ishida. The network helps show where Saeko Ishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Saeko 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 201 | |
| 2 | 2013 | 170 | |
| 3 | 2016 | 75 | |
| 4 | 2012 | 59 | |
| 5 | 2018 | 41 | |
| 6 | 2014 | 40 | |
| 7 | 2012 | 31 | |
| 8 | 2011 | 27 | |
| 9 | 2015 | 25 | |
| 10 | 2021 | 18 | |
| 11 | 2008 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2014 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2026 | 0 |
About Saeko Ishida
Saeko Ishida is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Genetics and Neurology, having authored 21 papers that have together received 743 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Ion channel regulation and function (4 papers), Cellular transport and secretion (4 papers), Pluripotent Stem Cells Research (3 papers), Epilepsy research and treatment (2 papers) and Autoimmune Neurological Disorders and Treatments (2 papers). The work is most often cited by research in Psychiatry and Mental health (182 citations), Genetics (286 citations), Cellular and Molecular Neuroscience (174 citations), Cell Biology (89 citations) and Molecular Biology (358 citations). Saeko Ishida has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Stéphanie Baulac, Éric Leguern, Fabienne Picard, Elise Marsan, Tomoji Mashimo, Richard Miles, Maïlys Daniau, Michel Baulac, Virginie Lambrecq and Arnaud Biraben. Their work appears in journals such as Human Molecular Genetics, Neurobiology of Disease, Cell Reports, Experimental Hematology and ACS Synthetic Biology.
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.