Nao Nitta

58 total papers · 2.1k total citations
18 papers, 634 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 634 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, Takuya Tamatani, Yasuyuki Ozeki, Cheng Lei, Takuro Ito, Akira Yamauchi, Hideharu Mikami, Takeaki Sugimura and Yutaka Yatomi 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 625 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nao Nitta 183 158 141 131 93 18 634
Yoonha Hwang 93 0.5× 147 0.9× 253 1.8× 44 0.3× 51 0.5× 20 702
Kevin G. Phillips 175 1.0× 231 1.5× 94 0.7× 69 0.5× 81 0.9× 36 747
B Schwab 99 0.5× 188 1.2× 189 1.3× 29 0.2× 82 0.9× 10 669
Cristina Ionica Øie 209 1.1× 45 0.3× 213 1.5× 177 1.4× 33 0.4× 25 703
José A. Rivera 224 1.2× 50 0.3× 201 1.4× 76 0.6× 28 0.3× 22 783
Meredith E. Fay 133 0.7× 46 0.3× 101 0.7× 35 0.3× 71 0.8× 26 578
Hiroaki Machiyama 110 0.6× 158 1.0× 316 2.2× 110 0.8× 56 0.6× 23 611
Mordechai Deutsch 222 1.2× 92 0.6× 215 1.5× 92 0.7× 37 0.4× 33 599
Gary Laevsky 143 0.8× 59 0.4× 307 2.2× 55 0.4× 51 0.5× 15 644
Fuqu Yu 185 1.0× 117 0.7× 172 1.2× 11 0.1× 93 1.0× 15 708

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

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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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