Tomoko Yamamoto

2.6k total citations
89 papers, 1.9k citations indexed

About

Tomoko Yamamoto is a scholar working on Molecular Biology, Ecology and Endocrinology. According to data from OpenAlex, Tomoko Yamamoto has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 20 papers in Ecology and 19 papers in Endocrinology. Recurrent topics in Tomoko Yamamoto's work include Salmonella and Campylobacter epidemiology (16 papers), Vibrio bacteria research studies (13 papers) and Marine Biology and Ecology Research (13 papers). Tomoko Yamamoto is often cited by papers focused on Salmonella and Campylobacter epidemiology (16 papers), Vibrio bacteria research studies (13 papers) and Marine Biology and Ecology Research (13 papers). Tomoko Yamamoto collaborates with scholars based in Japan, United States and Slovakia. Tomoko Yamamoto's co-authors include Akiko Takaya, Toshifumi Tomoyasu, Emiko Isogai, Masahiro Nakaoka, Hidenori Matsui, Mizue Morioka, Takashi Noda, Tomoko Hanawa, Shigeru Kamiya and Akane Tokumitsu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Tomoko Yamamoto

85 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoko Yamamoto Japan 25 790 451 393 370 356 89 1.9k
Carole Dossat France 23 1.3k 1.6× 238 0.5× 108 0.3× 441 1.2× 571 1.6× 31 2.6k
T J Chai United States 22 714 0.9× 296 0.7× 189 0.5× 363 1.0× 309 0.9× 48 1.4k
S Normark Sweden 12 749 0.9× 500 1.1× 132 0.3× 502 1.4× 458 1.3× 14 1.8k
Darrin T. Schultz United States 11 1.3k 1.7× 164 0.4× 149 0.4× 233 0.6× 560 1.6× 21 2.2k
Sergio G. Bartual Spain 19 1.4k 1.7× 401 0.9× 86 0.2× 294 0.8× 627 1.8× 29 2.7k
Béatrice Segurens France 20 1.2k 1.5× 238 0.5× 75 0.2× 465 1.3× 390 1.1× 26 2.1k
Hoda Khouri United States 16 1.3k 1.6× 109 0.2× 96 0.2× 279 0.8× 792 2.2× 18 2.4k
David S. Needleman United States 14 437 0.6× 313 0.7× 240 0.6× 119 0.3× 221 0.6× 37 1.1k
Rüdiger Schmitt Germany 31 1.8k 2.3× 180 0.4× 109 0.3× 798 2.2× 807 2.3× 62 3.0k
Sébastien Rodrigue Canada 32 2.3k 3.0× 201 0.4× 178 0.5× 682 1.8× 1.5k 4.1× 68 3.6k

Countries citing papers authored by Tomoko Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Yamamoto. A scholar is included among the top collaborators of Tomoko Yamamoto 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 Yamamoto. Tomoko Yamamoto 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
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Takaya, Akiko, et al.. (2019). Chaperone-mediated secretion switching from early to middle substrates in the type III secretion system encoded by Salmonella pathogenicity island 2. Journal of Biological Chemistry. 294(10). 3783–3793. 10 indexed citations
3.
Imamura, Katsutoshi, Akiko Takaya, Yoichi Ishida, et al.. (2018). Diminished nuclear RNA decay upon Salmonella infection upregulates antibacterial noncoding RNA s. The EMBO Journal. 37(13). 54 indexed citations
4.
Takai, Noriyuki, Tomoko Yamamoto, Miwa Suzuki, et al.. (2017). Sexual maturation of Girella punctata and G. leonina (Perciformes: Girellidae) in the neritic sea off the Pacific coast of Japan. 40(1). 7–16. 1 indexed citations
5.
Takaya, Akiko, et al.. (2017). Membrane vesicle protein PagC as a novel biomarker for detecting pathogenic <i>Salmonella</i> in the viable but not culturable state. Journal of Veterinary Medical Science. 80(1). 133–137. 8 indexed citations
6.
Yamamoto, Tomoko, et al.. (2015). Population characteristics of Monetaria annulus (Linnaeus, 1758) (Gastropoda: Cypraeidae) from temperate to tropical areas. Aquaculture Science. 63(3). 273–282. 4 indexed citations
7.
Takaya, Akiko, et al.. (2013). Methylation of 23S rRNA Nucleotide G748 by RlmA II Methyltransferase Renders Streptococcus pneumoniae Telithromycin Susceptible. Antimicrobial Agents and Chemotherapy. 57(8). 3789–3796. 17 indexed citations
8.
Yamamoto, Tomoko, Noriyuki Shibata, Yoshiaki Saito, Makiko Ōsawa, & Makio Kobayashi. (2010). Functions of Fukutin, a Gene Responsible for Fukuyama Type Congenital Muscular Dystrophy, in Neuromuscular System and Other Somatic Organs. Central Nervous System Agents in Medicinal Chemistry. 10(2). 169–179. 10 indexed citations
9.
Kitagawa, Ryo, Akiko Takaya, Yoshimitsu Mizunoe, et al.. (2010). Biogenesis of Salmonella enterica Serovar Typhimurium Membrane Vesicles Provoked by Induction of PagC. Journal of Bacteriology. 192(21). 5645–5656. 38 indexed citations
10.
Kage, Hirokazu, et al.. (2008). Coordinated Regulation of Expression ofSalmonellaPathogenicity Island 1 and Flagellar Type III Secretion Systems by ATP-Dependent ClpXP Protease. Journal of Bacteriology. 190(7). 2470–2478. 50 indexed citations
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Yamamoto, Tomoko, Kazue Terasawa, Young‐Min Kim, et al.. (2006). Identification of Catalytic Amino Acids of Cyclodextran Glucanotransferase fromBacillus circulansT-3040. Bioscience Biotechnology and Biochemistry. 70(8). 1947–1953. 17 indexed citations
13.
Saito, Tomomi, Tomoko Yamamoto, & Shinji Tsuchida. (2006). Spongicoloides Iheyaensis, a New Species of Deep-Sea Sponge-Associated Shrimp from the Iheya Ridge, Ryukyu Islands, Southern Japan (Decapoda: Stenopodidea: Spongicolidae). Journal of Crustacean Biology. 26(2). 224–233. 11 indexed citations
14.
Tomoyasu, Toshifumi, Akiko Takaya, Yutaka Handa, Kiyonobu Karata, & Tomoko Yamamoto. (2005). ClpXP controls the expression of LEE genes in enterohaemorrhagic Escherichia coli. FEMS Microbiology Letters. 253(1). 59–66. 29 indexed citations
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Hanawa, Tomoko, Minoru Fukuda, Hayato Kawakami, et al.. (1999). TheListeria monocytogenesDnaK chaperone is required for stress tolerance and efficient phagocytosis with macrophages. Cell Stress and Chaperones. 4(2). 118–128. 2 indexed citations
18.
Kondo, Eri, Kayoko Saito, Tatsushi Toda, et al.. (1996). Prenatal diagnosis of Fukuyama type congenital muscular dystrophy by polymorphism analysis. American Journal of Medical Genetics. 66(2). 169–174. 12 indexed citations
19.
Sakurai, Hiroshi, et al.. (1988). Effects of YM-14673 on the Central Nervous System. 40(4). 464–477. 2 indexed citations
20.
Yamamoto, Tomoko, Masato Watanabe, Kayoko Matsumoto, & Tetsuo Sawai. (1983). Tn2610, a transposon involved in the spread of the carbenicillin-hydrolyzing β-lactamase gene. Molecular and General Genetics MGG. 189(2). 282–288. 14 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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