Naoko Kaga

52 total papers · 1.5k total citations
40 papers, 1.1k citations indexed

About

Naoko Kaga is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Naoko Kaga has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Immunology and 9 papers in Physiology. Recurrent topics in Naoko Kaga's work include Sphingolipid Metabolism and Signaling (5 papers), Lipid Membrane Structure and Behavior (4 papers) and RNA and protein synthesis mechanisms (4 papers). Naoko Kaga is often cited by papers focused on Sphingolipid Metabolism and Signaling (5 papers), Lipid Membrane Structure and Behavior (4 papers) and RNA and protein synthesis mechanisms (4 papers). Naoko Kaga collaborates with scholars based in Japan, United States and Italy. Naoko Kaga's co-authors include Sachiko Miyake, Asako Chiba, Daisuke Noto, Miho Mizuno, Hikari Taka, Kimie Murayama, Kazuhisa Iwabuchi, Genryou Umitsuki, Masaaki Wachi and Kazuo Nagai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Naoko Kaga

37 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Naoko Kaga 737 173 173 153 142 40 1.1k
Lihua Sun 647 0.9× 94 0.5× 273 1.6× 126 0.8× 104 0.7× 40 1.4k
Fengming Liu 517 0.7× 104 0.6× 210 1.2× 182 1.2× 72 0.5× 68 1.2k
Hua Ding 769 1.0× 99 0.6× 179 1.0× 177 1.2× 105 0.7× 56 1.4k
Yue Lang 651 0.9× 149 0.9× 189 1.1× 186 1.2× 65 0.5× 74 1.3k
Jamma Trinath 737 1.0× 142 0.8× 378 2.2× 224 1.5× 136 1.0× 26 1.4k
Qingmiao Shi 726 1.0× 121 0.7× 174 1.0× 164 1.1× 65 0.5× 35 1.3k
Tao Long 979 1.3× 363 2.1× 111 0.6× 89 0.6× 189 1.3× 36 1.5k
Weiliang Huang 691 0.9× 81 0.5× 124 0.7× 78 0.5× 163 1.1× 69 1.3k
Deborah G. Murdock 922 1.3× 214 1.2× 63 0.4× 101 0.7× 147 1.0× 38 1.3k
Denise Goh 482 0.7× 360 2.1× 128 0.7× 139 0.9× 173 1.2× 44 1.3k

Countries citing papers authored by Naoko Kaga

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Kaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Kaga

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