Shingo Goto

2.5k total citations
46 papers, 1.9k citations indexed

About

Shingo Goto is a scholar working on Molecular Biology, Plant Science and Pathology and Forensic Medicine. According to data from OpenAlex, Shingo Goto has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 19 papers in Plant Science and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Shingo Goto's work include Plant-Microbe Interactions and Immunity (9 papers), Plant tissue culture and regeneration (9 papers) and Plant Pathogenic Bacteria Studies (6 papers). Shingo Goto is often cited by papers focused on Plant-Microbe Interactions and Immunity (9 papers), Plant tissue culture and regeneration (9 papers) and Plant Pathogenic Bacteria Studies (6 papers). Shingo Goto collaborates with scholars based in Japan, Colombia and Netherlands. Shingo Goto's co-authors include Mamoru Isemura, Monira Pervin, Yoriyuki Nakamura, Tomokazu Ohishi, Hiroshi Takatsuji, Akane Matsushita, Shoji Sugano, Nagao Hayashi, Haruhiko Inoue and Chang‐Jie Jiang and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Shingo Goto

44 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shingo Goto Japan 23 933 773 280 150 142 46 1.9k
Mamdooh Ghoneum United States 29 364 0.4× 732 0.9× 131 0.5× 144 1.0× 120 0.8× 110 2.2k
Baoming Tian China 25 844 0.9× 928 1.2× 83 0.3× 166 1.1× 115 0.8× 123 1.9k
Kang Sun China 22 449 0.5× 559 0.7× 346 1.2× 89 0.6× 121 0.9× 33 1.3k
Ali H. El‐Far Egypt 27 392 0.4× 509 0.7× 183 0.7× 113 0.8× 92 0.6× 106 2.0k
Shahid Ali Rajput China 24 785 0.8× 701 0.9× 75 0.3× 128 0.9× 148 1.0× 55 2.0k
Jianhua Zhu China 30 764 0.8× 1.4k 1.8× 87 0.3× 123 0.8× 77 0.5× 139 3.1k
Jae Ho Park South Korea 25 358 0.4× 1.5k 1.9× 215 0.8× 328 2.2× 192 1.4× 119 2.4k
Ali A. Moazzami Sweden 23 381 0.4× 584 0.8× 121 0.4× 209 1.4× 58 0.4× 52 1.4k
Yuzhong Zheng China 27 262 0.3× 1.1k 1.4× 122 0.4× 144 1.0× 102 0.7× 119 2.1k
Abhay Harsulkar India 27 863 0.9× 1.1k 1.5× 72 0.3× 88 0.6× 54 0.4× 68 2.1k

Countries citing papers authored by Shingo Goto

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Goto. A scholar is included among the top collaborators of Shingo Goto 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 Shingo Goto. Shingo Goto 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.
Watanabe, Tomoaki, Yoshihiro Kawahara, Kenta Shirasawa, et al.. (2025). LAYLA: development of a comprehensive and cross-sample program for detecting structural variants and its application to citrus cultivars. Breeding Science. 75(5). 442–454.
2.
3.
Shimada, Takehiko, Tomoko Endo, Ana Rodríguez, et al.. (2017). Ectopic accumulation of linalool confers resistance toXanthomonas citrisubsp. citriin transgenic sweet orange plants. Tree Physiology. 37(5). 654–664. 15 indexed citations
4.
Goto, Shingo, et al.. (2016). Segregation and Heritability of Male Sterility in Populations Derived from Progeny of Satsuma Mandarin. PLoS ONE. 11(9). e0162408–e0162408. 17 indexed citations
5.
Shimizu, Tokurou, Akira Kitajima, Keisuke Nonaka, et al.. (2016). Hybrid Origins of Citrus Varieties Inferred from DNA Marker Analysis of Nuclear and Organelle Genomes. PLoS ONE. 11(11). e0166969–e0166969. 80 indexed citations
6.
Goto, Shingo, et al.. (2015). Development of disease‐resistant rice by pathogen‐responsive expression of WRKY45. Plant Biotechnology Journal. 14(4). 1127–1138. 32 indexed citations
7.
Nishimura, Toshihide, et al.. (2015). Umami compounds enhance the intensity of retronasal sensation of aromas from model chicken soups. Food Chemistry. 196. 577–583. 51 indexed citations
8.
9.
Ahmad, Aftab, Yasuo Niwa, Shingo Goto, et al.. (2015). bHLH106 Integrates Functions of Multiple Genes through Their G-Box to Confer Salt Tolerance on Arabidopsis. PLoS ONE. 10(5). e0126872–e0126872. 46 indexed citations
10.
Nakayama, Akira, Setsuko Fukushima, Shingo Goto, et al.. (2013). Genome-wide identification of WRKY45-regulated genes that mediate benzothiadiazole-induced defense responses in rice. BMC Plant Biology. 13(1). 150–150. 90 indexed citations
11.
Yoshida, Riichiro, Mitsuko Kishi‐Kaboshi, Akane Matsushita, et al.. (2013). MAP kinases phosphorylate rice WRKY45. Plant Signaling & Behavior. 8(6). e24510–e24510. 39 indexed citations
12.
Nakashima, Kazuo, Asad Jan, Daisuke Todaka, et al.. (2013). Comparative functional analysis of six drought-responsive promoters in transgenic rice. Planta. 239(1). 47–60. 53 indexed citations
13.
Matsushita, Akane, Haruhiko Inoue, Shingo Goto, et al.. (2012). Nuclear ubiquitin proteasome degradation affects WRKY45 function in the rice defense program. The Plant Journal. 73(2). 302–313. 101 indexed citations
14.
Tanabe, Hiroki, Noriyuki Miyoshi, Takuji Suzuki, et al.. (2011). Effects of (-)-epigallocatechin-3-O-gallate on expression of gluconeogenesisrelated genes in the mouse duodenum. Biomedical Research. 32(5). 313–320. 16 indexed citations
15.
Goto, Shingo, et al.. (2007). Prevention of PathogenicEscherichia coliInfection in Mice and Stimulation of Macrophage Activation in Rats by an Oral Administration of ProbioticLactobacillus caseiI-5. Bioscience Biotechnology and Biochemistry. 71(4). 866–873. 29 indexed citations
16.
Goto, Shingo, et al.. (2004). Isolation and identification of lactic acid bacteria with effect of immune protection to Eschericia coli in mice. BioFactors. 21(1-4). 155–158. 2 indexed citations
17.
Yoshida, Masaki, Takaaki Akaike, Akito Inadome, et al.. (1998). The possible effect of nitric oxide on relaxation and noradrenaline release in the isolated rabbit urethra. European Journal of Pharmacology. 357(2-3). 213–219. 20 indexed citations
18.
Takahashi, Wataru, Masaki Yoshida, Yoshihiro Wada, et al.. (1997). Effect of estrogen on nitric oxide-induced relaxation of the rabbit urethra. European Journal of Pharmacology. 339(2-3). 165–171. 14 indexed citations
19.
Yoshida, Masaki, Takaaki Akaike, Shingo Goto, et al.. (1997). EFFECT OF THE NO SCAVENGER CARBOXY-PTIO ON ENDOTHELIUM-DEPENDENT VASORELAXATION OF VARIOUS BLOOD VESSELS FROM RABBITS. Life Sciences. 62(3). 203–211. 20 indexed citations
20.
Makiyama, Kazuya, Shingo Goto, K Murase, et al.. (1996). Impairment of Antioxidants in Colonic Epithelial Cells Isolated from Trinitrobenzene Sulphonic Acid-Induced Colitis Rats Protective Effect of Rebamipide. Scandinavian Journal of Gastroenterology. 31(10). 985–992. 35 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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