Takashi Kadono

1.6k total citations
67 papers, 1.2k citations indexed

About

Takashi Kadono is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, Takashi Kadono has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Electronic, Optical and Magnetic Materials and 15 papers in Condensed Matter Physics. Recurrent topics in Takashi Kadono's work include Plant Stress Responses and Tolerance (12 papers), Protist diversity and phylogeny (10 papers) and Microbial Community Ecology and Physiology (10 papers). Takashi Kadono is often cited by papers focused on Plant Stress Responses and Tolerance (12 papers), Protist diversity and phylogeny (10 papers) and Microbial Community Ecology and Physiology (10 papers). Takashi Kadono collaborates with scholars based in Japan, France and China. Takashi Kadono's co-authors include Tomonori Kawano, Takuya Furuichi, Toshikazu Kosaka, Shoshi Muto, Hiroshi Hosoya, Frédéric Lapeyrie, Masao Adachi, K. Shimada, M. Taniguchi and K. Miyamoto and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and PLoS ONE.

In The Last Decade

Takashi Kadono

62 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takashi Kadono Japan 20 291 287 279 276 223 67 1.2k
Gergely Nagy Hungary 21 582 2.0× 359 1.3× 294 1.1× 249 0.9× 169 0.8× 79 1.4k
Alexandr Lukyanov Russia 17 259 0.9× 142 0.5× 46 0.2× 393 1.4× 60 0.3× 40 1.5k
He Zhang China 20 252 0.9× 85 0.3× 121 0.4× 884 3.2× 42 0.2× 61 1.6k
Francesco Lenci Spain 25 913 3.1× 41 0.1× 297 1.1× 272 1.0× 112 0.5× 81 1.9k
Chunhong Li China 18 284 1.0× 60 0.2× 496 1.8× 213 0.8× 134 0.6× 43 1.4k
Nikolaos Ioannidis Greece 29 1.4k 4.8× 339 1.2× 586 2.1× 682 2.5× 21 0.1× 95 2.8k
Samantha J. O. Hardman United Kingdom 24 762 2.6× 132 0.5× 155 0.6× 737 2.7× 13 0.1× 61 1.7k
Eiji Suzuki Japan 25 545 1.9× 38 0.1× 170 0.6× 605 2.2× 17 0.1× 89 1.9k
J. Chen United States 15 50 0.2× 106 0.4× 48 0.2× 112 0.4× 159 0.7× 20 560
Wei Wei Chen China 23 245 0.8× 78 0.3× 975 3.5× 419 1.5× 60 0.3× 71 1.8k

Countries citing papers authored by Takashi Kadono

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Kadono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Kadono

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Kadono. A scholar is included among the top collaborators of Takashi Kadono 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 Takashi Kadono. Takashi Kadono 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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Tran, Daniel, Arnaud Lehner, Patrice Meimoun, et al.. (2021). Biphasic activation of survival and death pathways in Arabidopsis thaliana cultured cells by sorbitol-induced hyperosmotic stress. Plant Science. 305. 110844–110844. 1 indexed citations
4.
Saitoh, Y., H. Fujiwara, Akira Yasui, et al.. (2020). Insight into Kondo screening in the intermediate-valence compound SmOs4Sb12 uncovered by soft x-ray magnetic circular dichroism. Physical review. B.. 102(16). 1 indexed citations
5.
Tran, Daniel, Takashi Kadono, Patrice Meimoun, et al.. (2020). Early Cellular Responses Induced by Sedimentary Calcite-Processed Particles in Bright Yellow 2 Tobacco Cultured Cells. International Journal of Molecular Sciences. 21(12). 4279–4279. 3 indexed citations
6.
Yamaguchi, Haruo, et al.. (2020). Effects of temperature, salinity, and light intensity on the growth of the diatom Rhizosolenia setigera in Japan. Phycologia. 59(6). 551–555. 5 indexed citations
7.
Kadono, Takashi, Yuji Tomaru, Liyuan Hou, et al.. (2015). Characterization of marine diatom-infecting virus promoters in the model diatom Phaeodactylum tricornutum. Scientific Reports. 5(1). 18708–18708. 36 indexed citations
8.
Kadono, Takashi, et al.. (2012). Heme Redox Cycling in Soybean Peroxidase: Hypothetical Model and Supportive Data. Sensors and Materials. 87–87. 2 indexed citations
9.
Tran, Daniel, Takashi Kadono, Rafik Errakhi, et al.. (2012). A role for oxalic acid generation in ozone‐induced signallization in Arabidopis cells. Plant Cell & Environment. 36(3). 569–578. 15 indexed citations
10.
Bouteau, François, et al.. (2012). Peroxyacetyl nitrate-induced oxidative and calcium signaling events leading to cell death in ozone-sensitive tobacco cell-line. Plant Signaling & Behavior. 7(1). 113–120. 16 indexed citations
11.
Yokawa, Ken, Takashi Kadono, Yusuke Suzuki, et al.. (2011). DNA-Mediated Sensitive Detection and Quantification of Rare Earth Ions Using Polymerase Chain Reaction. Sensors and Materials. 219–219. 1 indexed citations
12.
Ohkawa, Hiroshi, Naoko Hashimoto, Shunsuke Furukawa, Takashi Kadono, & Tomonori Kawano. (2011). Forced symbiosis betweenSynechocystisspp. PCC 6803 and apo-symbioticParamecium bursariaas an experimental model for evolutionary emergence of primitive photosynthetic eukaryotes. Plant Signaling & Behavior. 6(6). 773–776. 14 indexed citations
13.
Furukawa, Shunsuke, et al.. (2010). A Green Paramecium Strain with Abnormal Growth of Symbiotic Algae. Zeitschrift für Naturforschung C. 65(11-12). 681–687. 4 indexed citations
14.
Kadono, Takashi, Daniel Tran, Rafik Errakhi, et al.. (2010). Increased Anion Channel Activity Is an Unavoidable Event in Ozone-Induced Programmed Cell Death. PLoS ONE. 5(10). e13373–e13373. 40 indexed citations
15.
Kadono, Takashi, et al.. (2006). Ozone-Induced Cell Death Mediated with Oxidative and Calcium Signaling Pathways in Tobacco Bel-W3 and Bel-B Cell Suspension Cultures. Plant Signaling & Behavior. 1(6). 312–322. 22 indexed citations
16.
Kadono, Takashi, Takuya Suzuki, Kazuharu Yoshizuka, et al.. (2006). Mechanism for temperature-shift-responsive acute Ca^ uptake in suspension-cultured tobacco and rice cells. 52(2). 83–89. 4 indexed citations
17.
Minkov, Dorian, et al.. (2006). Theory and characteristics of transition radiation emitted by low-energy storage-ring synchrotrons for use in X-ray lithography. Journal of Synchrotron Radiation. 13(4). 336–342. 5 indexed citations
18.
Kawano, Tomonori, Takashi Kadono, Katsumi Fumoto, et al.. (2004). Aluminum as a specific inhibitor of plant TPC1 Ca2+ channels. Biochemical and Biophysical Research Communications. 324(1). 40–45. 45 indexed citations
19.
Tanaka, Miho, Maki Murata‐Hori, Takashi Kadono, et al.. (2002). Complete elimination of endosymbiotic algae from Paramecium bursaria and its confirmation by diagnostic PCR. Acta Protozoologica. 41(3). 255–261. 16 indexed citations
20.
Takahashi, Kunio, et al.. (1999). UTILIZATION OF FLY-ASH CEMENT MIXTURE FOR BACKFILLS OF QUAY. Doboku Gakkai Ronbunshu. 1999(637). 137–148. 1 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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