Kazushi Okada

61 total papers · 790 total citations
35 papers, 662 citations indexed

About

Kazushi Okada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kazushi Okada has authored 35 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kazushi Okada's work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (9 papers) and Hypothalamic control of reproductive hormones (6 papers). Kazushi Okada is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (9 papers) and Hypothalamic control of reproductive hormones (6 papers). Kazushi Okada collaborates with scholars based in Japan, United States and Italy. Kazushi Okada's co-authors include Susumu Imaoka, Yoshihiko Funae, Bao Ting Zhu, Masayuki Fukui, Toyoko Hiroi, Ki Sung Kang, Yasuyuki Shimohigashi, Takeru Nose, Mayuko Osada and Shoko Hashimoto and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Kazushi Okada

35 papers receiving 657 citations

Author Peers

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

Author						Papers	Cites
Kazushi Okada	328	141	134	87	75	35	662
Fiona E. Mitchell	458 1.4×	44 0.3×	169 1.3×	80 0.9×	64 0.9×	13	766
Shyamali Mukherjee	293 0.9×	45 0.3×	164 1.2×	72 0.8×	21 0.3×	55	754
Kylie A. Scoggan	382 1.2×	170 1.2×	66 0.5×	39 0.4×	20 0.3×	24	628
Ami Oguro	196 0.6×	41 0.3×	81 0.6×	85 1.0×	35 0.5×	44	607
Li Zhang	280 0.9×	41 0.3×	53 0.4×	92 1.1×	108 1.4×	25	685
Jennifer E. Foreman	452 1.4×	33 0.2×	96 0.7×	177 2.0×	99 1.3×	30	793
Hideharu Ikebuchi	207 0.6×	53 0.4×	85 0.6×	33 0.4×	37 0.5×	52	634
Mary d'Arcy Doherty	274 0.8×	38 0.3×	39 0.3×	43 0.5×	37 0.5×	18	590
Robert A. Schatz	273 0.8×	114 0.8×	30 0.2×	54 0.6×	26 0.3×	38	602
Yijiao Xu	255 0.8×	54 0.4×	110 0.8×	66 0.8×	26 0.3×	27	597

Countries citing papers authored by Kazushi Okada

Since Specialization

Citations

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

Fields of papers citing papers by Kazushi Okada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazushi Okada

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