Dai Shiba

1.3k total citations
21 papers, 365 citations indexed

About

Dai Shiba is a scholar working on Physiology, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Dai Shiba has authored 21 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 6 papers in Molecular Biology and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Dai Shiba's work include Spaceflight effects on biology (16 papers), High Altitude and Hypoxia (4 papers) and Circadian rhythm and melatonin (4 papers). Dai Shiba is often cited by papers focused on Spaceflight effects on biology (16 papers), High Altitude and Hypoxia (4 papers) and Circadian rhythm and melatonin (4 papers). Dai Shiba collaborates with scholars based in Japan, United States and United Kingdom. Dai Shiba's co-authors include Masaki Shirakawa, Satoru Takahashi, Takashi Kudo, Hironobu Morita, Michito Hamada, Masafumi Muratani, Michihiko Shimomura, Hiroshi Asahara, Masahiro Shinohara and Tsukasa Tominari and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Dai Shiba

20 papers receiving 358 citations

Peers

Dai Shiba

PHYSI

GENET

AGING

Masaki Shirakawa Japan

Nina C. Nishiyama United States

Heather Quiriarte United States

Judith‐Irina Buchheim Germany

Timo Frett Germany

A. I. Grigoriev Russia

H.A.A. de Jong Netherlands

Duc Tran United States

Sara S. Mason United States

P. A. Colloton United States

Masaki Shirakawa Japan

Dai Shiba

407 ×1.4

PHYSI

104 ×1.0

GENET

116 ×1.3

112 ×1.9

57 ×1.2

AGING

Citations per year, relative to Dai Shiba Dai Shiba (= 1×) peers Masaki Shirakawa

Countries citing papers authored by Dai Shiba

Since Specialization

Citations

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

Fields of papers citing papers by Dai Shiba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Shiba

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Shiba. A scholar is included among the top collaborators of Dai Shiba 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 Dai Shiba. Dai Shiba 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

Iwazu, Yoshitaka, Hideyuki Mukai, Takahiro Kuchimaru, et al.. (2026). Bone mineral loss damages renal tubules in mice. Communications Biology. 9(1). 1 indexed citations

Shiba, Dai, et al.. (2024). Release of CD36-associated cell-free mitochondrial DNA and RNA as a hallmark of space environment response. Nature Communications. 15(1). 4814–4814. 2 indexed citations

Fujita, Ryo, Ayano Nakamura, Michito Hamada, et al.. (2023). Large Maf transcription factor family is a major regulator of fast type IIb myofiber determination. Cell Reports. 42(4). 112289–112289. 12 indexed citations

Shimizu, Ritsuko, Ikuo Hirano, Atsushi Hasegawa, et al.. (2023). Nrf2 alleviates spaceflight-induced immunosuppression and thrombotic microangiopathy in mice. Communications Biology. 6(1). 875–875. 5 indexed citations

Yoshikawa, Masaaki, Chihiro Ishikawa, Haiyan Li, et al.. (2022). Comparing effects of microgravity and amyotrophic lateral sclerosis in the mouse ventral lumbar spinal cord. Molecular and Cellular Neuroscience. 121. 103745–103745. 5 indexed citations

Suzuki, Norio, Koichiro Kato, Akihito Otsuki, et al.. (2021). Gene expression changes related to bone mineralization, blood pressure and lipid metabolism in mouse kidneys after space travel. Kidney International. 101(1). 92–105. 16 indexed citations

Kudo, Takashi, Ryo Fujita, Michito Hamada, et al.. (2021). Nuclear factor E2-related factor 2 (NRF2) deficiency accelerates fast fibre type transition in soleus muscle during space flight. Communications Biology. 4(1). 787–787. 17 indexed citations

Shimomura, Michihiko, Takashi Kudo, Masaki Shirakawa, et al.. (2021). Study of mouse behavior in different gravity environments. Scientific Reports. 11(1). 2665–2665. 3 indexed citations

Yoshida, Keisuke, Ayako Isotani, Takashi Kudo, et al.. (2021). Intergenerational effect of short-term spaceflight in mice. iScience. 24(7). 102773–102773. 16 indexed citations

10.

Matsuda, Chie, Tamotsu Kato, Jun Kikuchi, et al.. (2019). Dietary intervention of mice using an improved Multiple Artificial-gravity Research System (MARS) under artificial 1 g. npj Microgravity. 5(1). 16–16. 14 indexed citations

11.

Horie, Kenta, Hiroki Sasanuma, Takashi Kudo, et al.. (2019). Down-regulation of GATA1-dependent erythrocyte-related genes in the spleens of mice exposed to a space travel. Scientific Reports. 9(1). 7654–7654. 15 indexed citations

12.

Tominari, Tsukasa, Masaki Shirakawa, Chiho Matsumoto, et al.. (2019). Hypergravity and microgravity exhibited reversal effects on the bone and muscle mass in mice. Scientific Reports. 9(1). 6614–6614. 48 indexed citations

13.

Horie, Kenta, Tamotsu Kato, Takashi Kudo, et al.. (2019). Impact of spaceflight on the murine thymus and mitigation by exposure to artificial gravity during spaceflight. Scientific Reports. 9(1). 23 indexed citations

14.

Horie, Kenta, Takashi Kudo, Nobuko Akiyama, et al.. (2018). Long-term hindlimb unloading causes a preferential reduction of medullary thymic epithelial cells expressing autoimmune regulator (Aire). Biochemical and Biophysical Research Communications. 501(3). 745–750. 13 indexed citations

15.

Mao, Xiao Wen, Stephanie D. Byrum, Nina C. Nishiyama, et al.. (2018). Impact of Spaceflight and Artificial Gravity on the Mouse Retina: Biochemical and Proteomic Analysis. International Journal of Molecular Sciences. 19(9). 2546–2546. 44 indexed citations

16.

Morita, Hironobu, et al.. (2017). Impact of a simulated gravity load for atmospheric reentry, 10 g for 2 min, on conscious mice. The Journal of Physiological Sciences. 67(4). 531–537. 7 indexed citations

17.

Ishikawa, Chihiro, Haiyan Li, Yuko Yoshimura, et al.. (2017). Effects of gravity changes on gene expression of BDNF and serotonin receptors in the mouse brain. PLoS ONE. 12(6). e0177833–e0177833. 20 indexed citations

18.

Shiba, Dai, Michihiko Shimomura, Hironobu Morita, et al.. (2017). Development of new experimental platform ‘MARS’—Multiple Artificial-gravity Research System—to elucidate the impacts of micro/partial gravity on mice. Scientific Reports. 7(1). 10837–10837. 66 indexed citations

19.

Tateishi, Ryosuke, Nobuko Akiyama, Maki Miyauchi, et al.. (2015). Hypergravity Provokes a Temporary Reduction in CD4+CD8+ Thymocyte Number and a Persistent Decrease in Medullary Thymic Epithelial Cell Frequency in Mice. PLoS ONE. 10(10). e0141650–e0141650. 8 indexed citations

20.

Morita, Hironobu, Koji Obata, Chikara Abe, et al.. (2015). Feasibility of a Short-Arm Centrifuge for Mouse Hypergravity Experiments. PLoS ONE. 10(7). e0133981–e0133981. 28 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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