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Yamagishi, Takahiro
71
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1
Datasheet1_Use of the index of pulmonary vascular disease f..:
Ayako Chida-Nagai
;
Naoki Masaki
;
Kay Maeda
...
doi:10.3389/fcvm.2023.1212882.s001. , 2024
Link:
https://doi.org/10.3389/..
?
2
Datasheet1_Use of the index of pulmonary vascular disease f..:
Ayako Chida-Nagai
;
Naoki Masaki
;
Kay Maeda
...
doi:10.3389/fcvm.2023.1212882.s001. , 2024
Link:
https://doi.org/10.3389/..
?
3
Comparative analysis of reconstructed ancestral proteins wi..:
Takayuki Fujikawa
;
Takahiro Sasamoto
;
Fangzheng Zhao
..
https://doi.org/10.1038/s41598-023-50828-4. , 2024
Link:
https://doi.org/10.1038/..
?
4
Datasheet1_Use of the index of pulmonary vascular disease f..:
Ayako Chida-Nagai
;
Naoki Masaki
;
Kay Maeda
...
https://figshare.com/articles/dataset/Datasheet1_Use_of_the_index_of_pulmonary_vascular_disease_for_predicting_long-term_outcome_of_pulmonary_arterial_hypertension_associated_with_congenital_heart_disease_docx/25125569. , 2024
Link:
https://doi.org/10.3389/..
?
5
Datasheet1_Use of the index of pulmonary vascular disease f..:
Ayako Chida-Nagai
;
Naoki Masaki
;
Kay Maeda
...
doi:10.3389/fcvm.2023.1212882.s001. , 2024
Link:
https://doi.org/10.3389/..
?
6
Datasheet1_Use of the index of pulmonary vascular disease f..:
Ayako Chida-Nagai
;
Naoki Masaki
;
Kay Maeda
...
https://figshare.com/articles/dataset/Datasheet1_Use_of_the_index_of_pulmonary_vascular_disease_for_predicting_long-term_outcome_of_pulmonary_arterial_hypertension_associated_with_congenital_heart_disease_docx/25125539. , 2024
Link:
https://doi.org/10.3389/..
?
7
Datasheet1_Use of the index of pulmonary vascular disease f..:
Ayako Chida-Nagai
;
Naoki Masaki
;
Kay Maeda
...
doi:10.3389/fcvm.2023.1212882.s001. , 2024
Link:
https://doi.org/10.3389/..
?
8
Use of the index of pulmonary vascular disease for predicti..:
Ayako Chida-Nagai
;
Naoki Masaki
;
Kay Maeda
...
https://www.frontiersin.org/articles/10.3389/fcvm.2023.1212882/full. , 2023
Link:
https://doi.org/10.3389/..
?
9
The complete mitochondrial genome of water flea Ceriodaphni..:
Kyoshiro Hiki
;
Kenta Oka
;
Nobuyoshi Nakajima
...
http://dx.doi.org/10.1080/23802359.2023.2241663. , 2023
Link:
https://doi.org/10.1080/..
?
10
Longitudinal trajectories of smoking status using 25 year a..:
Yamada, Keiko
;
Imano, Hironori
;
Tabuchi, Takahiro
...
37328036. , 2023
Link:
https://tsukuba.repo.nii..
?
11
Datasheet1_Use of the index of pulmonary vascular disease f..:
Ayako Chida-Nagai
;
Naoki Masaki
;
Kay Maeda
...
doi:10.3389/fcvm.2023.1212882.s001. , 2023
Link:
https://doi.org/10.3389/..
?
12
CAMSAP2 organizes a γ-tubulin-independent microtubule nucle..:
Tsuyoshi Imasaki
;
Satoshi Kikkawa
;
Shinsuke Niwa
...
https://elifesciences.org/articles/77365. , 2022
Link:
https://doi.org/10.7554/..
?
13
Fission yeast Dis1 is an unconventional TOG/XMAP215 that in..:
Yuichi Murase
;
Masahiko Yamagishi
;
Naoyuki Okada
...
https://doi.org/10.1038/s42003-022-04271-2. , 2022
Link:
https://doi.org/10.1038/..
?
14
RAISING is a high-performance method for identifying random..:
Yusaku Wada
;
Tomoo Sato
;
Hiroo Hasegawa
...
https://doi.org/10.1038/s42003-022-03467-w. , 2022
Link:
https://doi.org/10.1038/..
?
15
Clinical Impact of Dual Time Point 18F-Fluorodeoxyglucose P..:
Takahiro Einama
;
Yoji Yamagishi
;
Yasuhiro Takihata
...
Cancer Biomarkers. , 2022
Link:
https://doi.org/10.3390/..
1-15