Y. Ban

734 total citations
13 papers, 604 citations indexed

About

Y. Ban is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Y. Ban has authored 13 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Y. Ban's work include Plant Physiology and Cultivation Studies (4 papers), Plant Pathogens and Fungal Diseases (4 papers) and Plant Reproductive Biology (4 papers). Y. Ban is often cited by papers focused on Plant Physiology and Cultivation Studies (4 papers), Plant Pathogens and Fungal Diseases (4 papers) and Plant Reproductive Biology (4 papers). Y. Ban collaborates with scholars based in Japan, South Korea and United States. Y. Ban's co-authors include Takatsugu Yamamoto, Tetsuya Kimura, N. Matsuta, Tateki Hayashi, K. Kotobuki, Y. Sawamura, M. Shoda, T. Manabe, Yaron Tomer and Taiji Oashi and has published in prestigious journals such as Theoretical and Applied Genetics, Osteoporosis International and Euphytica.

In The Last Decade

Y. Ban

10 papers receiving 571 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. Ban Japan 7 410 256 188 135 118 13 604
Weidong Chen United States 11 193 0.5× 113 0.4× 69 0.4× 180 1.3× 27 0.2× 14 355
Fabiana Csukasi Spain 11 481 1.2× 388 1.5× 59 0.3× 33 0.2× 27 0.2× 17 645
Kelian Sun United States 11 333 0.8× 341 1.3× 106 0.6× 19 0.1× 40 0.3× 20 580
Yin-Shan Tai United States 6 499 1.2× 422 1.6× 262 1.4× 66 0.5× 17 0.1× 8 1.0k
Han Gerrits Netherlands 6 828 2.0× 218 0.9× 16 0.1× 123 0.9× 36 0.3× 6 1.1k
Joan Barau Brazil 11 309 0.8× 635 2.5× 180 1.0× 33 0.2× 36 0.3× 16 857
Claire S. Kinlaw United States 12 202 0.5× 367 1.4× 112 0.6× 53 0.4× 30 0.3× 14 524

Countries citing papers authored by Y. Ban

Since Specialization
Citations

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

Fields of papers citing papers by Y. Ban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Ban. A scholar is included among the top collaborators of Y. Ban 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. Ban. Y. Ban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Nakamura, Satoshi, et al.. (2024). Development of a dissolution method for analyzing the elemental composition of fuel debris using sodium peroxide fusion technique. Journal of Nuclear Science and Technology. 62(1). 56–64.
2.
Suzuki, Hideya & Y. Ban. (2024). Extraction behaviors of minor actinides and rare earth elements with NTA amide extractants. Journal of Nuclear Science and Technology. 62(2). 157–166. 1 indexed citations
3.
Pandian, Subramani, Y. Ban, Senthil Kumar Thamilarasan, et al.. (2024). Introgression of Herbicide-Resistant Gene from Genetically Modified Brassica napus L. to Brassica rapa through Backcrossing. Plants. 13(20). 2863–2863.
4.
Sasaki, Yuji, Masashi Kaneko, Y. Ban, & Hideya Suzuki. (2023). Mutual separation of Am and Cm using ADAAM (Alkyl DiAmide AMine) and reduction of volumes for liquid waste generated via batch-wise multistage extractions. Journal of Nuclear Science and Technology. 61(7). 883–893. 4 indexed citations
5.
6.
Ito, Yasuki, Shinji Koba, Yukio Yokota, et al.. (2011). 515 SMALL DENSE LDL-CHOLESTEROL IS SUPERIOR TO LDL-CHOLESTEROL FOR DETERMINING SEVERE CORONARY ATHEROSCLEROSIS. Atherosclerosis Supplements. 12(1). 109–110. 1 indexed citations
7.
Kimura, Tetsuya, Chikako Nishitani, Hiroyuki Iketani, Y. Ban, & Takatsugu Yamamoto. (2006). Development of microsatellite markers in rose. Molecular Ecology Notes. 6(3). 810–812. 20 indexed citations
8.
Ban, Y., et al.. (2004). Arginine at position 74 of the HLA-DR β1 chain is associated with Graves' disease. Genes and Immunity. 5(3). 203–208. 113 indexed citations
9.
Kimura, Tetsuya, Hiroyuki Iketani, K. Kotobuki, et al.. (2003). Genetic characterization of pear varieties revealed by chloroplast DNA sequences. The Journal of Horticultural Science and Biotechnology. 78(2). 241–247. 29 indexed citations
10.
Yamamoto, Takatsugu, Tetsuya Kimura, Y. Sawamura, et al.. (2002). Simple sequence repeats for genetic analysis in pear. Euphytica. 124(1). 129–137. 132 indexed citations
11.
Kimura, Tetsuya, Y. Ban, Takuji Yamamoto, et al.. (2002). THE JAPANESE PEAR GENOME PROGRAM I. DEVELOPMENT OF SSR MARKERS AND IDENTIFICATION OF PEARS. Acta Horticulturae. 237–241.
12.
Yamamoto, Takatsugu, Tetsuya Kimura, M. Shoda, et al.. (2002). Development of microsatellite markers in the Japanese pear (Pyrus pyrifolia Nakai). Molecular Ecology Notes. 2(1). 14–16. 123 indexed citations
13.
Yamamoto, Takatsugu, Tetsuya Kimura, Y. Sawamura, et al.. (2001). SSRs isolated from apple can identify polymorphism and genetic diversity in pear. Theoretical and Applied Genetics. 102(6-7). 865–870. 162 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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