Yasujiro Kiyota

959 total citations
14 papers, 389 citations indexed

About

Yasujiro Kiyota is a scholar working on Molecular Biology, Biomedical Engineering and Biophysics. According to data from OpenAlex, Yasujiro Kiyota has authored 14 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Biomedical Engineering and 4 papers in Biophysics. Recurrent topics in Yasujiro Kiyota's work include Pluripotent Stem Cells Research (7 papers), 3D Printing in Biomedical Research (6 papers) and Cell Image Analysis Techniques (4 papers). Yasujiro Kiyota is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), 3D Printing in Biomedical Research (6 papers) and Cell Image Analysis Techniques (4 papers). Yasujiro Kiyota collaborates with scholars based in Japan and United States. Yasujiro Kiyota's co-authors include Ryuji Kato, Hiroyuki Honda, Ichiro Takeuchi, Hideki Agata, Hideaki Kagami, Fumiko Matsuoka, Kei Kanie, Mai Okada, Takayuki Uozumi and Miho Furue and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Yasujiro Kiyota

13 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yasujiro Kiyota Japan	9	210	194	107	67	43	14	389
John Ramunas Canada	10	117 0.6×	275 1.4×	45 0.4×	52 0.8×	42 1.0×	13	544
Marzena Zychowicz Poland	13	175 0.8×	178 0.9×	18 0.2×	79 1.2×	64 1.5×	22	411
Young‐tae Kim United States	10	178 0.8×	168 0.9×	24 0.2×	28 0.4×	36 0.8×	32	425
Despina Soteriou Germany	12	103 0.5×	233 1.2×	30 0.3×	32 0.5×	117 2.7×	18	542
Max Endele Switzerland	12	99 0.5×	372 1.9×	148 1.4×	50 0.7×	51 1.2×	15	652
Yantao Fan United States	9	366 1.7×	75 0.4×	28 0.3×	100 1.5×	45 1.0×	15	467
Noa Urman United States	7	210 1.0×	111 0.6×	38 0.4×	220 3.3×	40 0.9×	36	488
Erwin Gorjup Germany	12	148 0.7×	215 1.1×	67 0.6×	152 2.3×	42 1.0×	15	513
Lívia Eiselleová Czechia	7	114 0.5×	332 1.7×	18 0.2×	47 0.7×	27 0.6×	8	412
Maxime Feyeux France	11	246 1.2×	403 2.1×	78 0.7×	28 0.4×	38 0.9×	13	679

Countries citing papers authored by Yasujiro Kiyota

Since Specialization

Citations

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

Fields of papers citing papers by Yasujiro Kiyota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasujiro Kiyota

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Matsui, Takahiro, Masafumi Mimura, Seiji Taniguchi, et al.. (2022). Label‐free multiphoton excitation imaging as a promising diagnostic tool for breast cancer. Cancer Science. 113(8). 2916–2925. 6 indexed citations

Nelson, J. Daniel, Takayuki Uozumi, Yasujiro Kiyota, et al.. (2022). Automated algorithm development to assess survival of human neurons using longitudinal single-cell tracking: Application to synucleinopathy. SLAS TECHNOLOGY. 28(2). 63–69.

Matsui, Takahiro, Masafumi Mimura, Seiji Taniguchi, et al.. (2020). Nonlinear Optics with Near-Infrared Excitation Enable Real-Time Quantitative Diagnosis of Human Cervical Cancers. Cancer Research. 80(17). 3745–3754. 12 indexed citations

Ahfeldt, Tim, Alban Ordureau, Christina Bell, et al.. (2020). Pathogenic Pathways in Early-Onset Autosomal Recessive Parkinson's Disease Discovered Using Isogenic Human Dopaminergic Neurons. Stem Cell Reports. 14(1). 75–90. 37 indexed citations

Shin, Hye Young, Kathleen L. Pfaff, Lance S. Davidow, et al.. (2018). Using Automated Live Cell Imaging to Reveal Early Changes during Human Motor Neuron Degeneration. eNeuro. 5(3). ENEURO.0001–18.2018. 7 indexed citations

Suga, Mika, Naoko Ueda, Takako Nakano, et al.. (2018). A morphology-based assay platform for neuroepithelial-like cells differentiated from human pluripotent stem cells. The International Journal of Developmental Biology. 62(9-10). 613–621. 3 indexed citations

Kanie, Kei, et al.. (2017). Morphology-based non-invasive quantitative prediction of the differentiation status of neural stem cells. Journal of Bioscience and Bioengineering. 124(3). 351–358. 14 indexed citations

Matsumoto, Megumi, Mai Okada, Kei Kanie, et al.. (2017). Visualization of morphological categories of colonies for monitoring of effect on induced pluripotent stem cell culture status. Regenerative Therapy. 6. 41–51. 35 indexed citations

Kato, Ryuji, Megumi Matsumoto, Mai Okada, et al.. (2016). Parametric analysis of colony morphology of non-labelled live human pluripotent stem cells for cell quality control. Scientific Reports. 6(1). 34009–34009. 54 indexed citations

10.

Suga, Mika, et al.. (2015). Development of a Monitoring Method for Nonlabeled Human Pluripotent Stem Cell Growth by Time-Lapse Image Analysis. Stem Cells Translational Medicine. 4(7). 720–730. 22 indexed citations

11.

Matsuoka, Fumiko, Ichiro Takeuchi, Hideki Agata, et al.. (2014). Characterization of time‐course morphological features for efficient prediction of osteogenic potential in human mesenchymal stem cells. Biotechnology and Bioengineering. 111(7). 1430–1439. 25 indexed citations

12.

Takeuchi, Ichiro, Mai Okada, Rumi Sawada, et al.. (2014). Label-Free Morphology-Based Prediction of Multiple Differentiation Potentials of Human Mesenchymal Stem Cells for Early Evaluation of Intact Cells. PLoS ONE. 9(4). e93952–e93952. 46 indexed citations

13.

Matsuoka, Fumiko, Ichiro Takeuchi, Hideki Agata, et al.. (2013). Morphology-Based Prediction of Osteogenic Differentiation Potential of Human Mesenchymal Stem Cells. PLoS ONE. 8(2). e55082–e55082. 126 indexed citations

14.

Kiyota, Yasujiro. (1996). New applications of the infrared CCD camera. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2744. 632–632. 2 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.

Explore authors with similar magnitude of impact