Aiko Sada

1.2k total citations
22 papers, 928 citations indexed

About

Aiko Sada is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Aiko Sada has authored 22 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Genetics. Recurrent topics in Aiko Sada's work include Skin Protection and Aging (5 papers), Reproductive Biology and Fertility (4 papers) and Sperm and Testicular Function (4 papers). Aiko Sada is often cited by papers focused on Skin Protection and Aging (5 papers), Reproductive Biology and Fertility (4 papers) and Sperm and Testicular Function (4 papers). Aiko Sada collaborates with scholars based in Japan, United States and Thailand. Aiko Sada's co-authors include Yumiko Saga, Hitomi Suzuki, Atsushi Suzuki, Shosei Yoshida, Tudorita Tumbar, Sherry S. Wang, Kazuteru Hasegawa, Eva Leung, Fadi Jacob and Brian S. White and has published in prestigious journals such as Science, PLoS ONE and Nature Cell Biology.

In The Last Decade

Aiko Sada

21 papers receiving 915 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aiko Sada Japan	13	447	372	344	306	113	22	928
Kyle Howerton United States	7	537 1.2×	214 0.6×	290 0.8×	115 0.4×	259 2.3×	8	942
Durba Mukhopadhyay United States	8	353 0.8×	137 0.4×	250 0.7×	83 0.3×	400 3.5×	12	832
K. Yoshinaga Japan	8	233 0.5×	139 0.4×	139 0.4×	87 0.3×	194 1.7×	11	610
Frédérique Vidal France	11	370 0.8×	70 0.2×	57 0.2×	149 0.5×	315 2.8×	16	725
Marat Gorivodsky Israel	17	806 1.8×	43 0.1×	226 0.7×	322 1.1×	99 0.9×	25	1.2k
Anna‐Carin Hägglund Sweden	13	206 0.5×	68 0.2×	71 0.2×	101 0.3×	57 0.5×	16	465
Shawna Tan Singapore	6	363 0.8×	69 0.2×	91 0.3×	85 0.3×	35 0.3×	7	560
Patrizia Paterna Italy	7	198 0.4×	12 0.0×	651 1.9×	194 0.6×	147 1.3×	8	1.1k
Eduardo Mitrani Israel	19	852 1.9×	100 0.3×	150 0.4×	390 1.3×	271 2.4×	51	1.2k

Countries citing papers authored by Aiko Sada

Since Specialization

Citations

This map shows the geographic impact of Aiko Sada'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 Aiko Sada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiko Sada more than expected).

Fields of papers citing papers by Aiko Sada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aiko Sada. 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 Aiko Sada. The network helps show where Aiko Sada may publish in the future.

Co-authorship network of co-authors of Aiko Sada

This figure shows the co-authorship network connecting the top 25 collaborators of Aiko Sada. A scholar is included among the top collaborators of Aiko Sada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aiko Sada. Aiko Sada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Sada, Aiko, et al.. (2025). New insights into signaling networks coordinating epidermal stem cell regulation in skin regeneration and aging. Current Opinion in Cell Biology. 97. 102594–102594.

2.

Cabezas‐Wallscheid, Nina, et al.. (2025). Retinoic Acid Signaling Alters the Balance of Epidermal Stem Cell Populations in the Skin. Journal of Investigative Dermatology. 1 indexed citations

3.

Raja, Erna, et al.. (2022). The extracellular matrix fibulin 7 maintains epidermal stem cell heterogeneity during skin aging. EMBO Reports. 23(12). e55478–e55478. 12 indexed citations

4.

Kabata, Mio, Hiroyasu Kidoya, Fumitaka Muramatsu, et al.. (2021). Vasculature-driven stem cell population coordinates tissue scaling in dynamic organs. Science Advances. 7(7). 11 indexed citations

5.

Suzuki, Ayako, et al.. (2021). Isolation and Culture of Primary Oral Keratinocytes from the Adult Mouse Palate. Journal of Visualized Experiments. 2 indexed citations

6.

Kimura, Kenichi, et al.. (2021). Contribution of PDGFRα-positive cells in maintenance and injury responses in mouse large vessels. Scientific Reports. 11(1). 8683–8683. 7 indexed citations

7.

Yanagisawa, Hiromi, et al.. (2020). Defining compartmentalized stem cell populations with distinct cell division dynamics in the ocular surface epithelium. Development. 147(24). 12 indexed citations

8.

Kang, Sangjo, et al.. (2019). Histone H3 K4/9/27 Trimethylation Levels Affect Wound Healing and Stem Cell Dynamics in Adult Skin. Stem Cell Reports. 14(1). 34–48. 23 indexed citations

9.

Ramírez, Karina, et al.. (2019). Wild-type and SAMP8 mice show age-dependent changes in distinct stem cell compartments of the interfollicular epidermis. PLoS ONE. 14(5). e0215908–e0215908. 9 indexed citations

10.

Sugiura, Hidekazu, Aktar Ali, Aiko Sada, et al.. (2018). Fibulin-7, a heparin binding matricellular protein, promotes renal tubular calcification in mice. Matrix Biology. 74. 5–20. 14 indexed citations

11.

Sada, Aiko, Fadi Jacob, Eva Leung, et al.. (2016). Defining the cellular lineage hierarchy in the interfollicular epidermis of adult skin. Nature Cell Biology. 18(6). 619–631. 148 indexed citations

12.

Zhou, Zhi, Takayuki Shirakawa, Kazuyuki Ohbo, et al.. (2015). RNA Binding Protein Nanos2 Organizes Post-transcriptional Buffering System to Retain Primitive State of Mouse Spermatogonial Stem Cells. Developmental Cell. 34(1). 96–107. 58 indexed citations

13.

Lee, Song Eun, Aiko Sada, Meng Zhang, et al.. (2014). High Runx1 Levels Promote a Reversible, More-Differentiated Cell State in Hair-Follicle Stem Cells during Quiescence. Cell Reports. 6(3). 499–513. 28 indexed citations

14.

Lee, Song Eun, Aiko Sada, Meng Zhang, et al.. (2014). High Runx1 Levels Promote a Reversible, More-Differentiated Cell State in Hair-Follicle Stem Cells during Quiescence. Cell Reports. 6(3). 592–592. 1 indexed citations

15.

Sada, Aiko & Tudorita Tumbar. (2012). New Insights into Mechanisms of Stem Cell Daughter Fate Determination in Regenerative Tissues. International review of cell and molecular biology. 300. 1–50. 16 indexed citations

16.

Suzuki, Hitomi, Rie Saba, Aiko Sada, & Yumiko Saga. (2010). The Nanos3-3′UTR Is Required for Germ Cell Specific NANOS3 Expression in Mouse Embryos. PLoS ONE. 5(2). e9300–e9300. 17 indexed citations

17.

Suzuki, Hitomi, Aiko Sada, Shosei Yoshida, & Yumiko Saga. (2009). The heterogeneity of spermatogonia is revealed by their topology and expression of marker proteins including the germ cell-specific proteins Nanos2 and Nanos3. Developmental Biology. 336(2). 222–231. 155 indexed citations

18.

Sada, Aiko, Atsushi Suzuki, Hitomi Suzuki, & Yumiko Saga. (2009). The RNA-Binding Protein NANOS2 Is Required to Maintain Murine Spermatogonial Stem Cells. Science. 325(5946). 1394–1398. 244 indexed citations

19.

Saba, Rie, Atsushi Suzuki, Hitomi Suzuki, Aiko Sada, & Yumiko Saga. (2009). 17-P034 Nanos2 regulates the transcriptome in the embryonic male germ cells. Mechanisms of Development. 126. S280–S280. 1 indexed citations

20.

Sada, Aiko, Tohru Niwa, M. Tomizawa, et al.. (2006). Suppression of C/EBPα expression in periportal hepatoblasts may stimulate biliary cell differentiation through increasedHnf6andHnf1bexpression. Development. 133(21). 4233–4243. 74 indexed citations

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.

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