J. Takayasu

18 total papers · 612 total citations
12 papers, 520 citations indexed

About

J. Takayasu is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, J. Takayasu has authored 12 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Organic Chemistry. Recurrent topics in J. Takayasu's work include Cancer Treatment and Pharmacology (2 papers), Plant biochemistry and biosynthesis (2 papers) and Estrogen and related hormone effects (2 papers). J. Takayasu is often cited by papers focused on Cancer Treatment and Pharmacology (2 papers), Plant biochemistry and biosynthesis (2 papers) and Estrogen and related hormone effects (2 papers). J. Takayasu collaborates with scholars based in Japan, United States and France. J. Takayasu's co-authors include Hoyoku Nishino, Akio Iwashima, Atsuko Nishino, Haruhiko Tokuda, Takeshi Hasegawa, K. Hirabayashi, Shoji Shibata, Teiko Hasegawa, Teruhiro Okuyama and Michiaki Murakoshi and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Letters and Pure and Applied Chemistry.

In The Last Decade

J. Takayasu

11 papers receiving 493 citations

Author Peers

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

Author						Papers	Cites
J. Takayasu	308	136	91	66	59	12	520
Teiko Hasegawa	243 0.8×	123 0.9×	94 1.0×	101 1.5×	75 1.3×	10	455
Preethi G. Anantharaju	242 0.8×	160 1.2×	137 1.5×	65 1.0×	49 0.8×	11	565
Yuu Osanai	268 0.9×	95 0.7×	79 0.9×	40 0.6×	69 1.2×	12	517
Kumiko Satoh	253 0.8×	123 0.9×	82 0.9×	43 0.7×	97 1.6×	14	460
Hala U. Gali	236 0.8×	124 0.9×	78 0.9×	38 0.6×	44 0.7×	12	517
K Horváthová	351 1.1×	126 0.9×	116 1.3×	48 0.7×	51 0.9×	10	545
Selvaraj Aranganathan	247 0.8×	105 0.8×	58 0.6×	37 0.6×	56 0.9×	13	491
Filip Vlavcheski	243 0.8×	128 0.9×	54 0.6×	70 1.1×	42 0.7×	18	595
Nu Ry Song	304 1.0×	105 0.8×	65 0.7×	42 0.6×	104 1.8×	15	584
Rana M. Merghany	172 0.6×	123 0.9×	128 1.4×	47 0.7×	42 0.7×	15	574

Countries citing papers authored by J. Takayasu

Since Specialization

Citations

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

Fields of papers citing papers by J. Takayasu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Takayasu

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