Nao Nitta

2.2k total citations
18 papers, 638 citations indexed

About

Nao Nitta is a scholar working on Biophysics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Nao Nitta has authored 18 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biophysics, 7 papers in Biomedical Engineering and 4 papers in Molecular Biology. Recurrent topics in Nao Nitta's work include Cell Image Analysis Techniques (7 papers), Microfluidic and Bio-sensing Technologies (3 papers) and 3D Printing in Biomedical Research (3 papers). Nao Nitta is often cited by papers focused on Cell Image Analysis Techniques (7 papers), Microfluidic and Bio-sensing Technologies (3 papers) and 3D Printing in Biomedical Research (3 papers). Nao Nitta collaborates with scholars based in Japan, United States and China. Nao Nitta's co-authors include Shiro Kanegasaki, Keisuke Goda, Cheng Lei, Takuya Tamatani, Yasuyuki Ozeki, Takuro Ito, Akira Yamauchi, Hideharu Mikami, Yutaka Yatomi and Takeaki Sugimura and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and The Astrophysical Journal.

In The Last Decade

Nao Nitta

18 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nao Nitta Japan 10 186 158 141 132 93 18 638
Xiaowen Mao Hong Kong 17 153 0.8× 188 1.2× 416 3.0× 127 1.0× 36 0.4× 27 892
H. Savage United States 16 229 1.2× 137 0.9× 246 1.7× 206 1.6× 38 0.4× 37 825
Mike C. L. Wu Australia 14 122 0.7× 405 2.6× 268 1.9× 41 0.3× 62 0.7× 20 974
Cristina Ionica Øie Norway 15 210 1.1× 45 0.3× 213 1.5× 178 1.3× 33 0.4× 25 709
Ubirajara Agero Brazil 14 125 0.7× 38 0.2× 176 1.2× 47 0.4× 72 0.8× 28 533
Andreas O. H. Gerstner Germany 20 176 0.9× 69 0.4× 409 2.9× 409 3.1× 64 0.7× 65 1.1k
Catherine Le Quément France 12 213 1.1× 42 0.3× 136 1.0× 193 1.5× 80 0.9× 14 716
Hiroyuki Kawagoe Japan 18 132 0.7× 124 0.8× 562 4.0× 110 0.8× 18 0.2× 36 1.2k
Narasimhan Rajaram United States 21 627 3.4× 55 0.3× 310 2.2× 376 2.8× 90 1.0× 66 1.4k
C. W. Smith United Kingdom 18 200 1.1× 30 0.2× 114 0.8× 106 0.8× 158 1.7× 59 1.2k

Countries citing papers authored by Nao Nitta

Since Specialization
Citations

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

Fields of papers citing papers by Nao Nitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nao Nitta

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

All Works

18 of 18 papers shown
1.
Zhou, Yuqi, Masako Nishikawa, Hiroshi Kanno, et al.. (2022). Long‐term effects of Pfizer‐BioNTech COVID‐19 vaccinations on platelets. Cytometry Part A. 103(2). 162–167. 8 indexed citations
2.
Isozaki, Akihiro, Maik Herbig, Mika Hayashi, et al.. (2022). Intelligent sort‐timing prediction for image‐activated cell sorting. Cytometry Part A. 103(1). 88–97. 9 indexed citations
3.
Matsumura, Hiroki, Maik Herbig, Dan Yuan, et al.. (2022). Deep imaging flow cytometry. Lab on a Chip. 22(5). 876–889. 26 indexed citations
4.
Ozeki, Yasuyuki, Nao Nitta, Takeaki Sugimura, et al.. (2019). Intelligent Image-Activated Cell Sorting and Beyond. Conference on Lasers and Electro-Optics. 141. SM4H.1–SM4H.1. 1 indexed citations
5.
Lei, Cheng, Hirofumi Kobayashi, Yi Wu, et al.. (2018). High-throughput imaging flow cytometry by optofluidic time-stretch microscopy. Nature Protocols. 13(7). 1603–1631. 124 indexed citations
6.
Goda, Keisuke & Nao Nitta. (2018). Intelligent Image-Based Cell Sorting And Beyond. 1 indexed citations
7.
Muñoz, Hector E., Ming Li, Carson T. Riche, et al.. (2018). Single-Cell Analysis of Morphological and Metabolic Heterogeneity in Euglena gracilis by Fluorescence-Imaging Flow Cytometry. Analytical Chemistry. 90(19). 11280–11289. 20 indexed citations
8.
Mikami, Hideharu, Cheng Lei, Nao Nitta, et al.. (2018). High-Speed Imaging Meets Single-Cell Analysis. Chem. 4(10). 2278–2300. 39 indexed citations
9.
Lei, Cheng, Nao Nitta, Yasuyuki Ozeki, & Keisuke Goda. (2018). Optofluidic time-stretch microscopy: recent advances. Optical Review. 25(3). 464–472. 7 indexed citations
10.
Jiang, Yiyue, Cheng Lei, Atsushi Yasumoto, et al.. (2017). Label-free detection of aggregated platelets in blood by machine-learning-aided optofluidic time-stretch microscopy. Lab on a Chip. 17(14). 2426–2434. 66 indexed citations
11.
Nitta, Nao, et al.. (2009). Image analysis of mast cell degranulation in a concentration gradient of stimuli formed in the channel between a glass plate and a silicon substrate. European Journal of Cell Biology. 88(9). 541–549. 5 indexed citations
12.
Saito, Kanako, Mie Torii, Ning Ma, et al.. (2008). Differential Regulatory Function of Resting and Preactivated Allergen-Specific CD4+CD25+ Regulatory T Cells in Th2-Type Airway Inflammation. The Journal of Immunology. 181(10). 6889–6897. 36 indexed citations
13.
Ito, Ayaka, Takayoshi Suganami, Akira Yamauchi, et al.. (2008). Role of CC Chemokine Receptor 2 in Bone Marrow Cells in the Recruitment of Macrophages into Obese Adipose Tissue. Journal of Biological Chemistry. 283(51). 35715–35723. 124 indexed citations
14.
Nitta, Nao, Tomoko Tsuchiya, Akira Yamauchi, Takuya Tamatani, & Shiro Kanegasaki. (2007). Quantitative analysis of eosinophil chemotaxis tracked using a novel optical device — TAXIScan. Journal of Immunological Methods. 320(1-2). 155–163. 50 indexed citations
15.
Nitta, Nao. (2005). Retrovirus-based computer. Natural Computing. 4(2). 127–139. 1 indexed citations
16.
Kanegasaki, Shiro, Yuka Nomura, Nao Nitta, et al.. (2003). A novel optical assay system for the quantitative measurement of chemotaxis. Journal of Immunological Methods. 282(1-2). 1–11. 100 indexed citations
17.
Tsuneta, S., Nao Nitta, Kazuo Makishima, et al.. (1984). Hard X-ray imaging observations of solar hot thermal flares with the HINOTORI spacecraft. The Astrophysical Journal. 284. 827–827. 17 indexed citations
18.
Costa, J. E. R., et al.. (1983). Short-period pulsations observed simultaneously by X-ray and radio waves. Solar Physics. 86(1-2). 237–238. 4 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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