Saya Kishimoto

491 total citations
11 papers, 337 citations indexed

About

Saya Kishimoto is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Saya Kishimoto has authored 11 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aging, 7 papers in Endocrine and Autonomic Systems and 4 papers in Molecular Biology. Recurrent topics in Saya Kishimoto's work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Circadian rhythm and melatonin (7 papers) and Aging and Gerontology Research (3 papers). Saya Kishimoto is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (8 papers), Circadian rhythm and melatonin (7 papers) and Aging and Gerontology Research (3 papers). Saya Kishimoto collaborates with scholars based in Japan. Saya Kishimoto's co-authors include Masaharu Uno, Eisuke Nishida, Emiko Okabe, Mitsuhiro Matsuda, Kunihiro Matsumoto, Miki Ebisuya, Takuya Yamamoto, Sakiko Honjoh, Chisato M. Yamazaki and Hiroyuki Endo and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Scientific Reports.

In The Last Decade

Saya Kishimoto

10 papers receiving 335 citations

Peers

Saya Kishimoto

AGING

MB

PHYSI

EAS

PS

Christian Latza Germany

Eva Bang Harvald Denmark

Andrea Scharf Germany

Ilya Solovev Russia

Carolina Ibáñez‐Ventoso United States

Rebecca E. W. Kaplan United States

Atsushi Ebata United States

Meghan Lee Arnold United States

Nicholas J. Palmisano United States

Saravanapriah Nadarajan United States

Christian Latza Germany

Saya Kishimoto

156 ×0.9

AGING

144 ×0.9

MB

66 ×1.0

PHYSI

51 ×0.9

EAS

15 ×0.5

PS

Citations per year, relative to Saya Kishimoto Saya Kishimoto (= 1×) peers Christian Latza

Countries citing papers authored by Saya Kishimoto

Since Specialization

Citations

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

Fields of papers citing papers by Saya Kishimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saya Kishimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Saya Kishimoto. A scholar is included among the top collaborators of Saya Kishimoto 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 Saya Kishimoto. Saya Kishimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Uno, Masaharu, Chika Takahashi, Saya Kishimoto, et al.. (2025). A Transition From Interindividual Uniformity to Diversity in Appearance and Transcriptional Features at Midlife in Caenorhabditis elegans . Genes to Cells. 30(1). e13187–e13187.

2.

Takahashi, Chika, Emiko Okabe, Saya Kishimoto, et al.. (2024). Single housing of juveniles accelerates early-stage growth but extends adult lifespan in African turquoise killifish. Aging. 16(18). 12443–12472. 1 indexed citations

3.

Kishimoto, Saya, et al.. (2024). Lactobacillus paracasei subsp. paracasei 2004 improves health and lifespan in Caenorhabditis elegans. Scientific Reports. 14(1). 10453–10453. 2 indexed citations

4.

Okabe, Emiko, Masaharu Uno, Saya Kishimoto, & Eisuke Nishida. (2021). Intertissue small RNA communication mediates the acquisition and inheritance of hormesis in Caenorhabditis elegans. Communications Biology. 4(1). 207–207. 10 indexed citations

5.

Uno, Masaharu, Emiko Okabe, Saya Kishimoto, et al.. (2021). Neuronal DAF-16-to-intestinal DAF-16 communication underlies organismal lifespan extension in C. elegans. iScience. 24(7). 102706–102706. 34 indexed citations

6.

Kishimoto, Saya, et al.. (2020). Intestine-to-Germline Transmission of Epigenetic Information Intergenerationally Ensures Systemic Stress Resistance in C. elegans. Cell Reports. 30(10). 3207–3217.e4. 15 indexed citations

7.

Kishimoto, Saya, Masaharu Uno, & Eisuke Nishida. (2018). Molecular mechanisms regulating lifespan and environmental stress responses. Inflammation and Regeneration. 38(1). 22–22. 15 indexed citations

8.

Kishimoto, Saya, et al.. (2017). Environmental stresses induce transgenerationally inheritable survival advantages via germline-to-soma communication in Caenorhabditis elegans. Nature Communications. 8(1). 125 indexed citations

9.

Uno, Masaharu, Sakiko Honjoh, Mitsuhiro Matsuda, et al.. (2013). A Fasting-Responsive Signaling Pathway that Extends Life Span in C. elegans. Cell Reports. 3(1). 79–91. 86 indexed citations

10.

Yamazaki, Chisato M., Ikuhiko Nakase, Hiroyuki Endo, et al.. (2013). Collagen‐like Cell‐Penetrating Peptides. Angewandte Chemie International Edition. 52(21). 5497–5500. 41 indexed citations

11.

Yamazaki, Chisato M., Ikuhiko Nakase, Hiroyuki Endo, et al.. (2013). Collagen‐like Cell‐Penetrating Peptides. Angewandte Chemie. 125(21). 5607–5610. 8 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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