Tadayuki Wako

682 total citations
46 papers, 473 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 473 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, Vietnam and Denmark. Tadayuki Wako's co-authors include Akio Kojima, Hikaru Tsukazaki, Kenichiro Yamashita, Takayoshi Ohara, Masayoshi Shigyo, Masaharu Masuda, Yukari Akashi, 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 438 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tadayuki Wako Japan 13 421 109 77 50 31 46 473
H. M. Munger United States 11 418 1.0× 124 1.1× 54 0.7× 62 1.2× 33 1.1× 28 452
Nihat Guner United States 9 285 0.7× 164 1.5× 75 1.0× 53 1.1× 5 0.2× 19 327
M. Newman United States 10 443 1.1× 187 1.7× 110 1.4× 23 0.5× 91 2.9× 12 522
I.W. Boukema Netherlands 11 363 0.9× 48 0.4× 57 0.7× 7 0.1× 36 1.2× 29 378
Gertraud Stift Austria 9 432 1.0× 248 2.3× 131 1.7× 31 0.6× 22 0.7× 9 516
M. P. Bretó Spain 8 350 0.8× 74 0.7× 149 1.9× 46 0.9× 29 0.9× 8 386
Yan R. Tomason United States 11 287 0.7× 214 2.0× 95 1.2× 61 1.2× 7 0.2× 18 355
Marta Ruiz Spain 8 289 0.7× 25 0.2× 135 1.8× 21 0.4× 7 0.2× 13 324
Shinobu Nakayama Japan 7 380 0.9× 49 0.4× 180 2.3× 22 0.4× 25 0.8× 9 454
Mehdi Nasr Esfahani Iran 12 407 1.0× 36 0.3× 53 0.7× 24 0.5× 36 1.2× 39 432

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

20 of 20 papers shown
1.
Akyol, Turgut Yigit, Tadayuki Wako, Kenichiro Yamashita, et al.. (2021). Construction of a high-density linkage map and graphical representation of the arrangement of transcriptome-based unigene markers on the chromosomes of onion, Allium cepa L.. BMC Genomics. 22(1). 481–481. 14 indexed citations
2.
3.
Tsukazaki, Hikaru, Shusei Sato, Hideki Hirakawa, et al.. (2015). Development of transcriptome shotgun assembly-derived markers in bunching onion (Allium fistulosum). Molecular Breeding. 35(1). 30 indexed citations
4.
Wako, Tadayuki, Kenichiro Yamashita, Hikaru Tsukazaki, et al.. (2015). Screening and incorporation of rust resistance from Allium cepa into bunching onion (Allium fistulosum) via alien chromosome addition. Genome. 58(4). 135–142. 8 indexed citations
5.
Ueda, Hiroshi, Atsuko Takeuchi, & Tadayuki Wako. (2013). Activation of Immune Responses in Mice by an Oral Administration of Bunching Onion (Allium fistulosum) Mucus. Bioscience Biotechnology and Biochemistry. 77(9). 1809–1813. 14 indexed citations
6.
7.
Wako, Tadayuki, Akio Kojima, Kenichiro Yamashita, et al.. (2010). Breeding and Characteristics of a Bunching Onion (Allium fistulosum L.) Cultivar ‘Fuyuwarabe’ with Short Leaf Sheath. Horticultural Research (Japan). 9(3). 279–285. 4 indexed citations
8.
Wako, Tadayuki & Kiichi Fukui. (2010). Higher Organization and Histone Modification of the Plant Nucleus and Chromosome. Cytogenetic and Genome Research. 129(1-3). 55–63. 4 indexed citations
9.
Tsukazaki, Hikaru, Masanori Honjo, Kenichiro Yamashita, et al.. (2010). Classification and identification of bunching onion (Allium fistulosum) varieties based on SSR markers. Breeding Science. 60(2). 139–152. 12 indexed citations
10.
11.
Tsukazaki, Hikaru, Kenichiro Yamashita, Hiroyuki Fukuoka, et al.. (2008). Construction of SSR-based chromosome map in bunching onion (Allium fistulosum). Theoretical and Applied Genetics. 117(8). 1213–1223. 28 indexed citations
12.
Kuroki, Shinichiro, et al.. (2008). Detection of Textural Difference between Cultivars of Bunching Onion using the Device for Acoustic Measurement of Food Texture. Journal of the Japanese Society for Horticultural Science. 77(4). 440–446. 3 indexed citations
13.
Tsukazaki, Hikaru, Tsukasa Nunome, Hiroyuki Fukuoka, et al.. (2008). APPLICATIONS OF DNA MARKER TECHNOLOGY IN JAPANESE BUNCHING ONION BREEDING. Acta Horticulturae. 153–158. 2 indexed citations
14.
Yamauchi, Naoki, et al.. (2006). Chromosomal Locations of Microsatellites in Onion. HortScience. 41(2). 315–318. 14 indexed citations
15.
Ohara, Takayoshi, Tadayuki Wako, Tsukasa Nunome, & Akio Kojima. (2005). Relationship between Heterosis and Genetic Distances as Revealed by AFLP Markers in Intervarietal F1 Hybrids of Bunching Onion (Allium fistulosum). Journal of the Japanese Society for Horticultural Science. 74(1). 68–77. 4 indexed citations
16.
Shigyo, Masayoshi, Tadayuki Wako, A. Kojima, Naoki Yamauchi, & Yosuke Tashiro. (2003). Transmission of alien chromosomes from selfed progenies of a complete set of Allium monosomic additions: the development of a reliable method for the maintenance of a monosomic addition set. Genome. 46(6). 1098–1103. 10 indexed citations
17.
18.
Kato, Kiyoaki, Yukari Akashi, Tanaka Kenta, Tadayuki Wako, & Masaharu Masuda. (2002). GENETIC CHARACTERIZATION OF EAST AND SOUTH ASIAN MELONS, CUCUMIS MELO, BY THE ANALYSIS OF MOLECULAR POLYMORPHISMS AND MORPHOLOGICAL CHARACTERS. Acta Horticulturae. 217–222. 2 indexed citations
19.
Wako, Tadayuki, et al.. (1999). Varietal differences in rust resistance of bunching onion at the adult plant and the seedling stages. 68(1). 80. 1 indexed citations
20.
Wako, Tadayuki, et al.. (1991). Unique DNA plasmid pRS64 associated with chromosomal DNAs of the plant pathogenic fungus Rhizoctonia solani. Journal of General Microbiology. 137(12). 2817–2821. 6 indexed citations

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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