Nao Ota

10 total papers · 414 total citations
7 papers, 240 citations indexed

About

Nao Ota is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Nao Ota has authored 7 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Plant Science. Recurrent topics in Nao Ota's work include Genomics, phytochemicals, and oxidative stress (3 papers), Alcohol Consumption and Health Effects (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Nao Ota is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (3 papers), Alcohol Consumption and Health Effects (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Nao Ota collaborates with scholars based in Japan. Nao Ota's co-authors include Hozumi Motohashi, Kazuhiko Igarashi, Hiroki Shima, Hiroki Sekine, Keito Okazaki, Hiroshi Kitamura, Md. Morshedul Alam, Shohei Murakami, Masayuki Yamamoto and Mitsuhiro Ito and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.

In The Last Decade

Nao Ota

7 papers receiving 240 citations

Author Peers

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

Author						Papers	Cites
Nao Ota	160	27	21	19	19	7	240
Javier Alcácer	142 0.9×	18 0.7×	22 1.0×	30 1.6×	46 2.4×	11	290
Austin P. So	172 1.1×	21 0.8×	21 1.0×	21 1.1×	11 0.6×	9	245
Jian Chen	145 0.9×	29 1.1×	11 0.5×	38 2.0×	19 1.0×	11	268
Marina P. Gehring	139 0.9×	13 0.5×	16 0.8×	39 2.1×	22 1.2×	10	273
Emilie Desruelles	108 0.7×	18 0.7×	12 0.6×	12 0.6×	12 0.6×	10	247
Vikram J. Tallapragada	138 0.9×	36 1.3×	12 0.6×	7 0.4×	15 0.8×	12	320
Nicole Renaud	116 0.7×	42 1.6×	6 0.3×	16 0.8×	11 0.6×	9	274
Tsuyoshi Umeda	175 1.1×	17 0.6×	6 0.3×	32 1.7×	30 1.6×	8	236
Yingyi Zhang	87 0.5×	30 1.1×	11 0.5×	20 1.1×	18 0.9×	11	259
Marcelo J. Sakiyama	129 0.8×	27 1.0×	11 0.5×	13 0.7×	29 1.5×	9	282

Countries citing papers authored by Nao Ota

Since Specialization

Citations

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

Fields of papers citing papers by Nao Ota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nao Ota

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