Tomoko Shibuya

70 total papers · 665 total citations
38 papers, 511 citations indexed

About

Tomoko Shibuya is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Neurology. According to data from OpenAlex, Tomoko Shibuya has authored 38 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 6 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Neurology. Recurrent topics in Tomoko Shibuya's work include Allelopathy and phytotoxic interactions (7 papers), Weed Control and Herbicide Applications (7 papers) and Botany, Ecology, and Taxonomy Studies (4 papers). Tomoko Shibuya is often cited by papers focused on Allelopathy and phytotoxic interactions (7 papers), Weed Control and Herbicide Applications (7 papers) and Botany, Ecology, and Taxonomy Studies (4 papers). Tomoko Shibuya collaborates with scholars based in Japan, China and United States. Tomoko Shibuya's co-authors include Yoshiharu Fujii, Toshihiko Hara, Bo Li, Yasuhiro Yogo, Tomio Itani, Syuntaro Hiradate, Mohammad Masud Parvez, Yoshihiko Hayakawa, Kazuo Sugahara and T. Tsubokawa and has published in prestigious journals such as Toxicon, Crop Protection and Journal of Plant Research.

In The Last Decade

Tomoko Shibuya

37 papers receiving 462 citations

Author Peers

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

Author						Papers	Cites
Tomoko Shibuya	378	83	74	66	39	38	511
R. L. James	230 0.6×	22 0.3×	118 1.6×	24 0.4×	5 0.1×	41	592
R. M. Patterson	212 0.6×	143 1.7×	74 1.0×	41 0.6×	2 0.1×	34	567
Juanjuan Zhang	133 0.4×	20 0.2×	118 1.6×	24 0.4×	11 0.3×	42	447
Junfeng Liang	405 1.1×	150 1.8×	168 2.3×	16 0.2×	2 0.1×	40	559
Fangfang Huang	238 0.6×	134 1.6×	71 1.0×	116 1.8×	3 0.1×	33	475
Angelo Raffaele Caputo	211 0.6×	8 0.1×	131 1.8×	31 0.5×	7 0.2×	38	491
Jun Kasuga	370 1.0×	36 0.4×	106 1.4×	51 0.8×	2 0.1×	31	534
G. M. Dunn	337 0.9×	71 0.9×	128 1.7×	16 0.2×	2 0.1×	38	481
Qinjun Huang	312 0.8×	11 0.1×	194 2.6×	29 0.4×	5 0.1×	44	456
Pilar Soriano	377 1.0×	121 1.5×	75 1.0×	73 1.1×	1 0.0×	52	547

Countries citing papers authored by Tomoko Shibuya

Since Specialization

Citations

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

Fields of papers citing papers by Tomoko Shibuya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Shibuya

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