Tadayuki Wako

68 total papers · 679 total citations
46 papers, 469 citations indexed

About

Tadayuki Wako is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Tadayuki Wako has authored 46 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 4 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Molecular Biology. Recurrent topics in Tadayuki Wako's work include Garlic and Onion Studies (33 papers), Plant Disease Resistance and Genetics (23 papers) and Plant Pathogenic Bacteria Studies (7 papers). Tadayuki Wako is often cited by papers focused on Garlic and Onion Studies (33 papers), Plant Disease Resistance and Genetics (23 papers) and Plant Pathogenic Bacteria Studies (7 papers). Tadayuki Wako collaborates with scholars based in Japan, Denmark and United States. Tadayuki Wako's co-authors include Hikaru Tsukazaki, Akio Kojima, Kenichiro Yamashita, Takayoshi Ohara, Masayoshi Shigyo, Yukari Akashi, Masaharu Masuda, Kenji Kato, Tsukasa Nunome and Hiroyuki Fukuoka and has published in prestigious journals such as Theoretical and Applied Genetics, BMC Genomics and Bioscience Biotechnology and Biochemistry.

In The Last Decade

Tadayuki Wako

45 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
Tadayuki Wako	418	109	76	50	31	46	469
H. M. Munger	421 1.0×	124 1.1×	54 0.7×	62 1.2×	33 1.1×	28	450
Hongli He	432 1.0×	110 1.0×	167 2.2×	74 1.5×	21 0.7×	48	524
M. A. de Queiróz	413 1.0×	156 1.4×	79 1.0×	48 1.0×	18 0.6×	80	467
Guilherme Ferreira Pena	437 1.0×	146 1.3×	40 0.5×	30 0.6×	13 0.4×	44	500
Hira Singh	362 0.9×	73 0.7×	79 1.0×	26 0.5×	17 0.5×	44	462
Turgut Yeşiloğlu	447 1.1×	57 0.5×	156 2.1×	43 0.9×	36 1.2×	69	519
Guilherme da Silva Pereira	425 1.0×	143 1.3×	76 1.0×	43 0.9×	39 1.3×	32	508
Antonio G. Lalusin	410 1.0×	141 1.3×	155 2.0×	28 0.6×	22 0.7×	32	528
V. R. Oliveira	518 1.2×	65 0.6×	65 0.9×	13 0.3×	14 0.5×	63	539
Sudhakar Pandey	404 1.0×	257 2.4×	121 1.6×	114 2.3×	20 0.6×	40	551

Countries citing papers authored by Tadayuki Wako

Since Specialization

Citations

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

Fields of papers citing papers by Tadayuki Wako

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayuki Wako

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