Makiko Seimiya
- Aging top 10%
- Molecular Biology top 10%
- Developmental Biology and Gene Regulation 9
- Retinal Development and Disorders 4
- Single-cell and spatial transcriptomics 3
- Pluripotent Stem Cells Research 2
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- Neurobiology and Insect Physiology Research 4
- Paleontology top 10%
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ 4
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- Invertebrate Immune Response Mechanisms 3
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- Marine Ecology and Invasive Species 3
- Co-authors
- Walter J. GehringRenato ParoFederico ComoglioSusanne FlisterJorge Polo BlancoYoshikazu KurosawaYoko WATANABETomonori Katsuyama
- Journals
- Development (5 papers)European Journal of Biochemistry (2 papers)Nature Communications (2 papers)
- Partner nations
- SwitzerlandJapanDenmark
In The Last Decade
Makiko Seimiya
23 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Aging 31
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 228
- Paleontology 88
- Cell Biology 157
Countries citing papers authored by Makiko Seimiya
This map shows the geographic impact of Makiko Seimiya'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 Makiko Seimiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makiko Seimiya more than expected).
Fields of papers citing papers by Makiko Seimiya
This network shows the impact of papers produced by Makiko Seimiya. 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 Makiko Seimiya. The network helps show where Makiko Seimiya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makiko Seimiya, 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 | 2025 | 8 | |
| 2 | 2025 | 9 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 9 | |
| 6 | Inferring and perturbing cell fate regulomes in human brain organoidsbreakdown → | 2022 | 145 |
| 7 | 2018 | 9 | |
| 8 | 2016 | 194 | |
| 9 | 2015 | 94 | |
| 10 | 2014 | 12 | |
| 11 | 2013 | 52 | |
| 12 | 2010 | 34 | |
| 13 | 2009 | 36 | |
| 14 | 2004 | 39 | |
| 15 | 2000 | 168 | |
| 16 | 1999 | 124 | |
| 17 | 1998 | 11 | |
| 18 | 1997 | 31 | |
| 19 | 1996 | 19 | |
| 20 | 1994 | 86 |
About Makiko Seimiya
Makiko Seimiya is a scholar working on Aging, Cell Biology and Paleontology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (9 papers), Neurobiology and Insect Physiology Research (4 papers), Retinal Development and Disorders (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Single-cell and spatial transcriptomics (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Marine Ecology and Invasive Species (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Aging (31 citations), Molecular Biology (1.1k citations) and Cellular and Molecular Neuroscience (228 citations). Makiko Seimiya has collaborated with scholars based in Switzerland, Japan and Denmark. Frequent co-authors include Walter J. Gehring, Renato Paro, Federico Comoglio, Walter J. Gehring, Susanne Flister, Jorge Polo Blanco, Yoshikazu Kurosawa, Yoko WATANABE, Tomonori Katsuyama and Urs Kloter. Their work appears in journals such as Development, European Journal of Biochemistry, Nature Communications, Nature and Developmental 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.