Natsuko Kusunoki

42 total papers · 977 total citations
32 papers, 822 citations indexed

About

Natsuko Kusunoki is a scholar working on Pharmacology, Rheumatology and Epidemiology. According to data from OpenAlex, Natsuko Kusunoki has authored 32 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pharmacology, 10 papers in Rheumatology and 9 papers in Epidemiology. Recurrent topics in Natsuko Kusunoki's work include Inflammatory mediators and NSAID effects (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Natsuko Kusunoki is often cited by papers focused on Inflammatory mediators and NSAID effects (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Natsuko Kusunoki collaborates with scholars based in Japan. Natsuko Kusunoki's co-authors include Shinichi Kawai, Ryuta Yamazaki, Shusuke Hashimoto, Takeshi Matsuzaki, Kaichi Kaneko, Tomoko Hasunuma, Toru Suguro, Hirahito Endo, Kanako Kitahara and Toshihiro Nanki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Natsuko Kusunoki

31 papers receiving 808 citations

Author Peers

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

Author						Papers	Cites
Natsuko Kusunoki	247	238	234	212	157	32	822
Kurumi Sasatomi	273 1.1×	275 1.2×	234 1.0×	95 0.4×	185 1.2×	17	1.0k
Manuela Minguzzi	99 0.4×	382 1.6×	177 0.8×	207 1.0×	106 0.7×	33	993
Charlotte Edenius	274 1.1×	278 1.2×	42 0.2×	133 0.6×	116 0.7×	40	1.0k
Kenji Kuwabara	91 0.4×	315 1.3×	52 0.2×	106 0.5×	134 0.9×	23	936
Sauro Lorenzini	157 0.6×	247 1.0×	70 0.3×	250 1.2×	59 0.4×	32	948
Remya Raja	90 0.4×	359 1.5×	66 0.3×	136 0.6×	161 1.0×	29	799
E. Bramm	99 0.4×	326 1.4×	53 0.2×	71 0.3×	219 1.4×	38	962
Tatsuo Katagishi	47 0.2×	235 1.0×	275 1.2×	116 0.5×	144 0.9×	16	952
Hervé Lemaréchal	70 0.3×	352 1.5×	47 0.2×	147 0.7×	112 0.7×	33	957
Tarek H. El‐Metwally	73 0.3×	441 1.9×	116 0.5×	37 0.2×	241 1.5×	42	1000

Countries citing papers authored by Natsuko Kusunoki

Since Specialization

Citations

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

Fields of papers citing papers by Natsuko Kusunoki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natsuko Kusunoki

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