Y. Takikawa

2.3k total citations
100 papers, 1.4k citations indexed

About

Y. Takikawa is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Y. Takikawa has authored 100 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Plant Science, 54 papers in Cell Biology and 10 papers in Molecular Biology. Recurrent topics in Y. Takikawa's work include Plant Pathogenic Bacteria Studies (78 papers), Plant-Microbe Interactions and Immunity (69 papers) and Plant Pathogens and Fungal Diseases (54 papers). Y. Takikawa is often cited by papers focused on Plant Pathogenic Bacteria Studies (78 papers), Plant-Microbe Interactions and Immunity (69 papers) and Plant Pathogens and Fungal Diseases (54 papers). Y. Takikawa collaborates with scholars based in Japan, United States and Indonesia. Y. Takikawa's co-authors include Masao GOTO, Shinji Tsuyumu, Takeshi Ichikawa, Setsuo SERIZAWA, Yasuhiro Inoue, Hiroyuki Sawada, J. M. Young, Louis Gardan, D. E. Stead and Hiroyuki IEKI and has published in prestigious journals such as Applied Microbiology and Biotechnology, Annual Review of Phytopathology and Soft Matter.

In The Last Decade

Y. Takikawa

92 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Takikawa Japan 20 1.3k 582 148 63 36 100 1.4k
Ramón Penyalver Spain 15 691 0.5× 287 0.5× 181 1.2× 44 0.7× 27 798
Junjie Yu China 16 612 0.5× 195 0.3× 291 2.0× 23 0.4× 2 0.1× 66 797
Gabriel Rincón‐Enríquez Mexico 10 446 0.4× 221 0.4× 114 0.8× 31 0.5× 61 632
Fang Ji China 13 691 0.5× 288 0.5× 135 0.9× 14 0.2× 27 813
D. F. Ritchie United States 15 718 0.6× 300 0.5× 129 0.9× 66 1.0× 38 813
Anupama Ghosh India 8 587 0.5× 165 0.3× 263 1.8× 15 0.2× 1 0.0× 15 733
Guozhen Zhang China 13 393 0.3× 276 0.5× 187 1.3× 49 0.8× 35 586
Teresa Sawyer United States 8 332 0.3× 202 0.3× 131 0.9× 31 0.5× 10 438
Shiwen Huang China 12 553 0.4× 102 0.2× 162 1.1× 14 0.2× 31 756
Pierre Cambier Belgium 12 232 0.2× 27 0.0× 123 0.8× 13 0.2× 10 0.3× 15 404

Countries citing papers authored by Y. Takikawa

Since Specialization
Citations

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

Fields of papers citing papers by Y. Takikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Takikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Takikawa. A scholar is included among the top collaborators of Y. Takikawa 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 Y. Takikawa. Y. Takikawa 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.
Wu, Jing, Junhong Wang, Jae‐Hoon Choi, et al.. (2023). Bioactive Compounds from the Mushroom-Forming Fungus Chlorophyllum molybdites. Antibiotics. 12(3). 596–596. 5 indexed citations
2.
3.
Inoue, Yasuhiro, Takashi Fujikawa, & Y. Takikawa. (2021). Detection and identification of Xanthomonas campestris pv. campestris and pv. raphani by multiplex polymerase chain reaction using specific primers. Applied Microbiology and Biotechnology. 105(5). 1991–2002. 8 indexed citations
4.
Inoue, Yasuhiro & Y. Takikawa. (2021). Primers for specific detection and identification of Pseudomonas syringae pv. maculicola and P. cannabina pv. alisalensis. Applied Microbiology and Biotechnology. 105(4). 1575–1584. 4 indexed citations
5.
Sawada, Hiroyuki, et al.. (2019). Multiplex PCR assay to identify Pseudomonas grimontii and P. marginalis simultaneously. Journal of General Plant Pathology. 86(2). 81–85. 2 indexed citations
6.
Sawada, Hiroyuki, et al.. (2019). Pseudomonas grimontii, causal agent of turnip bacterial rot disease in Japan. Journal of General Plant Pathology. 85(6). 413–423. 18 indexed citations
7.
Kunita, Itsuki, Y. Takikawa, Daisuke Takeuchi, et al.. (2017). Direct observation of orientation distributions of actin filaments in a solution undergoing shear banding. Soft Matter. 13(14). 2708–2716. 5 indexed citations
8.
Takikawa, Y., et al.. (2017). Comparison among Japanese isolates of Pseudomonas savastanoi pv. savastanoi, causal agent of olive knot disease. Journal of General Plant Pathology. 83(3). 152–161. 10 indexed citations
9.
Kato, Kenji, et al.. (2012). Isolation and plant host range of Rhizobacter dauci, causal agent of carrot bacterial gall.. Japanese Journal of Phytopathology. 78(4). 293–300. 2 indexed citations
10.
Takikawa, Y., et al.. (2011). Effect of W-addition on pinning property of MgB2. Physica C Superconductivity. 471(21-22). 905–907. 15 indexed citations
11.
Nakamura, Masaya, et al.. (2010). Hypersensitive response symptom on tea caused by avirulent bacteria after heavy storm.. Japanese Journal of Phytopathology. 76(4). 259–268.
12.
13.
Takikawa, Y., Hirofumi Mori, Teruo Nonomura, et al.. (2002). Rapid detection of phylloplane bacterium Enterobacter cloacae based on chitinase gene transformation and lytic infection by specific bacteriophages. Journal of Applied Microbiology. 93(6). 1042–1050. 10 indexed citations
14.
GOTO, Masao, et al.. (1994). Effect of Benomyl on Seedling Rot of Rice(Pseudomonas glumae) and Microbial Interactions on Germinating Rice Seeds.. Japanese Journal of Phytopathology. 60(1). 74–81. 3 indexed citations
15.
GOTO, Masao, et al.. (1993). Characterization of Bacteriocins Produced by Pseudomonas solanacearum.. Japanese Journal of Phytopathology. 59(2). 114–122. 14 indexed citations
16.
Higuchi, Hiroshi, et al.. (1992). Bacterial gall disease of sharinbai (Rhaphiolepis umbellata Makino) caused by Pseudomonas syringae pv. rhaphiolepidis pv. nov. Journal of the Japanese Forest Society. 74(4). 308–313. 2 indexed citations
17.
Tamura, Katsunori, Y. Takikawa, Shinji Tsuyumu, Masao GOTO, & Minoru Watanabe. (1992). Coronatine Production by Xanthomonas campestris pv. phormiicola.. Japanese Journal of Phytopathology. 58(2). 276–281. 18 indexed citations
18.
Young, J. M., J. F. Bradbury, Louis Gardan, et al.. (1991). Comment on the Reinstatement of Xanthomonas citri (ex Hasse 1915) Gabriel et al. 1989 and X. phaseoli (ex Smith 1897) Gabriel et al. 1989: Indication of the Need for Minimal Standards for the Genus Xanthomonas. International Journal of Systematic Bacteriology. 41(1). 172–177. 19 indexed citations
19.
SERIZAWA, Setsuo, Takeshi Ichikawa, Y. Takikawa, Shinji Tsuyumu, & Masao GOTO. (1989). Occurrence of bacterial canker of kiwifruit in Japan: Description of symptoms, isolation of the pathogen and screening of bactericides.. Japanese Journal of Phytopathology. 55(4). 427–436. 137 indexed citations
20.
Tsuyumu, Shinji, et al.. (1985). Presence of DNA damaging agents in plants as the possible inducers of pectin lyases of soft-rot Erwinia.. Japanese Journal of Phytopathology. 51(3). 294–302. 9 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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