Hajime Ohyanagi

1.2k total citations
17 papers, 790 citations indexed

About

Hajime Ohyanagi is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Hajime Ohyanagi has authored 17 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 11 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Hajime Ohyanagi's work include Genomics and Phylogenetic Studies (7 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Plant responses to water stress (3 papers). Hajime Ohyanagi is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Plant responses to water stress (3 papers). Hajime Ohyanagi collaborates with scholars based in Japan, Saudi Arabia and United States. Hajime Ohyanagi's co-authors include Hiroshi Ikawa, Nobukazu Namiki, Hiroshi Minami, Yutaka Sato, Baltazar A. Antonio, Hinako Takehisa, Yoshiaki Nagamura, Kazuhiko Sugimoto, Nori Kurata and Katsutoshi Tsuda and has published in prestigious journals such as Nucleic Acids Research, The Plant Cell and Diabetes.

In The Last Decade

Hajime Ohyanagi

17 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hajime Ohyanagi Japan	13	614	442	152	41	28	17	790
In Sun Yoon South Korea	18	1.2k 2.0×	460 1.0×	153 1.0×	42 1.0×	30 1.1×	43	1.3k
Trent Newman New Zealand	10	399 0.6×	574 1.3×	120 0.8×	23 0.6×	23 0.8×	16	788
Kanako Kurita Japan	14	541 0.9×	384 0.9×	130 0.9×	58 1.4×	12 0.4×	17	695
Tian Tian China	16	558 0.9×	303 0.7×	68 0.4×	59 1.4×	19 0.7×	62	732
Shirong Zhou China	15	960 1.6×	460 1.0×	228 1.5×	25 0.6×	18 0.6×	28	1.1k
Tsunakazu Fujishiro Japan	11	622 1.0×	368 0.8×	114 0.8×	40 1.0×	58 2.1×	12	828
Seunghee Lee South Korea	13	732 1.2×	615 1.4×	133 0.9×	74 1.8×	29 1.0×	25	951
Motoki Kanekatsu Japan	15	515 0.8×	362 0.8×	56 0.4×	21 0.5×	21 0.8×	44	713
Zhengge Zhu China	17	1.0k 1.7×	712 1.6×	122 0.8×	20 0.5×	13 0.5×	31	1.2k

Countries citing papers authored by Hajime Ohyanagi

Since Specialization

Citations

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

Fields of papers citing papers by Hajime Ohyanagi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Ohyanagi

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

All Works

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17 of 17 papers shown

Chujo, Daisuke, Tsutomu Sato, Norio Ohmagari, et al.. (2023). 298-OR: Safety and Efficacy of Immunomodulatory Therapy Using Antithymocyte Globulin and Pegfilgrastim in Japanese Patients with Type 1 Diabetes—A Pilot Randomized Clinical Trial. Diabetes. 72(Supplement_1). 1 indexed citations

Abulfaraj, Aala A., Hajime Ohyanagi, Katsuhiko Mineta, et al.. (2022). Comprehensive evolutionary analysis and nomenclature of plant G3BPs. Life Science Alliance. 5(9). e202101328–e202101328. 2 indexed citations

Kajiya‐Kanegae, Hiromi, Hajime Ohyanagi, Yasuhiro Tanizawa, et al.. (2021). OryzaGenome2.1: Database of Diverse Genotypes in Wild Oryza Species. Rice. 14(1). 24–24. 22 indexed citations

Kobayashi, Masaaki, Tomoyuki Takano, Keiko Kobayashi, et al.. (2019). Complete chloroplast genome sequence and phylogenetic analysis of wasabi (Eutrema japonicum) and its relatives. Scientific Reports. 9(1). 14377–14377. 12 indexed citations

Nishitani, Chikako, et al.. (2019). TRANSNAP: a web database providing comprehensive information on Japanese pear transcriptome. Scientific Reports. 9(1). 18922–18922. 9 indexed citations

Lehmann, Robert, Damien J. Lightfoot, Celia Schunter, et al.. (2018). Finding Nemo’s Genes: A chromosome‐scale reference assembly of the genome of the orange clownfish Amphiprion percula. Molecular Ecology Resources. 19(3). 570–585. 38 indexed citations

Pabuayon, Isaiah Catalino M., Hajime Ohyanagi, Masahiro Fujita, et al.. (2018). Potential of Oryza officinalis to augment the cold tolerance genetic mechanisms of Oryza sativa by network complementation. Scientific Reports. 8(1). 16346–16346. 17 indexed citations

Kobayashi, Masaaki, Hajime Ohyanagi, Hideki Takanashi, et al.. (2017). Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data. DNA Research. 24(4). 397–405. 15 indexed citations

Komatsu, Setsuko, Xin Wang, Xiaojian Yin, et al.. (2017). Integration of gel-based and gel-free proteomic data for functional analysis of proteins through Soybean Proteome Database. Journal of Proteomics. 163. 52–66. 17 indexed citations

10.

Kudo, Toru, Masaaki Kobayashi, Misa Saito, et al.. (2016). TOMATOMICS: A Web Database for Integrated Omics Information in Tomato. Plant and Cell Physiology. 58(1). pcw207–pcw207. 24 indexed citations

11.

Sakata, Katsumi, Toshiyuki Saito, Hajime Ohyanagi, et al.. (2016). Loss of variation of state detected in soybean metabolic and human myelomonocytic leukaemia cell transcriptional networks under external stimuli. Scientific Reports. 6(1). 35946–35946. 4 indexed citations

12.

Mitsui, Yuki, Michihiko Shimomura, Kenji Komatsu, et al.. (2015). The radish genome and comprehensive gene expression profile of tuberous root formation and development. Scientific Reports. 5(1). 10835–10835. 132 indexed citations

13.

Aya, Koichiro, Masaaki Kobayashi, Hajime Ohyanagi, et al.. (2014). De Novo Transcriptome Assembly of a Fern, Lygodium japonicum, and a Web Resource Database, Ljtrans DB. Plant and Cell Physiology. 56(1). e5–e5. 35 indexed citations

14.

Tsuda, Katsutoshi, Nori Kurata, Hajime Ohyanagi, & Sarah Hake. (2014). Genome-Wide Study ofKNOXRegulatory Network Reveals Brassinosteroid Catabolic Genes Important for Shoot Meristem Function in Rice . The Plant Cell. 26(9). 3488–3500. 100 indexed citations

15.

Sato, Yutaka, Hinako Takehisa, Hiroshi Minami, et al.. (2012). RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome. Nucleic Acids Research. 41(D1). D1206–D1213. 309 indexed citations

16.

Katayose, Yūichi, Hiroyuki Kanamori, Michihiko Shimomura, et al.. (2012). DaizuBase, an integrated soybean genome database including BAC-based physical maps. Breeding Science. 61(5). 661–664. 14 indexed citations

17.

Sakata, Katsumi, Hajime Ohyanagi, Takuji Nakamura, et al.. (2009). Soybean Proteome Database: A Data Resource for Plant Differential Omics. Journal of Proteome Research. 8(7). 3539–3548. 39 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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