Ikuo Nakamura

4.2k total citations
220 papers, 3.1k citations indexed

About

Ikuo Nakamura is a scholar working on Plant Science, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Ikuo Nakamura has authored 220 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Plant Science, 78 papers in Molecular Biology and 69 papers in Computational Mechanics. Recurrent topics in Ikuo Nakamura's work include Fluid Dynamics and Turbulent Flows (53 papers), Plant tissue culture and regeneration (41 papers) and Fluid Dynamics and Vibration Analysis (30 papers). Ikuo Nakamura is often cited by papers focused on Fluid Dynamics and Turbulent Flows (53 papers), Plant tissue culture and regeneration (41 papers) and Fluid Dynamics and Vibration Analysis (30 papers). Ikuo Nakamura collaborates with scholars based in Japan, Nigeria and United States. Ikuo Nakamura's co-authors include Masahiro Mii, Raham Sher Khan, Yoichiro Sato, Valentine Otang Ntui, Shinşuke Yamanaka, Dong Poh Chin, Kazuo Watanabe, Pejman Azadi, Yasuhiko SAKAI and Hirokazu Nakai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ikuo Nakamura

197 papers receiving 2.9k citations

Peers

Ikuo Nakamura

GENET

BIOTE

Benjamin D. Hall United States

Jared T. Simpson Canada

Shane C. Burgess United States

Guy Perrière France

Yasuomi Tada Japan

Rubén O. Zandomeni United States

Sébastien Carrère France

Jean R. Lobry France

Yao‐Cheng Lin Taiwan

Hongwei Li China

Benjamin D. Hall United States

Ikuo Nakamura

1.3k ×0.7

4.1k ×2.7

719 ×1.5

GENET

273 ×0.6

BIOTE

30 ×0.1

Citations per year, relative to Ikuo Nakamura Ikuo Nakamura (= 1×) peers Benjamin D. Hall

Countries citing papers authored by Ikuo Nakamura

Since Specialization

Citations

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

Fields of papers citing papers by Ikuo Nakamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuo Nakamura

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

All Works

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20 of 20 papers shown

Syed, Md. Abu, et al.. (2025). Silencing of disease susceptibility genes: an effective disease resistance strategy against fungal pathogens. Plant Cell Reports. 44(6). 127–127.

Sjahril, Rinaldi, et al.. (2015). Sustainability of Populations of Wild Rice Species in Natural in situ Conservation Sites of South and West Sulawesi. SHILAP Revista de lepidopterología. 3(2). 205–211. 1 indexed citations

Nakamura, Ikuo, et al.. (2015). Origin of Prunus × yedoensis Somei-yoshino based on sequence analysis of PolA1 gene. Advances in Horticultural Science. 29(1). 17–23. 4 indexed citations

Khan, Raham Sher, et al.. (2014). Retransformation of Marker-Free Potato for Enhanced Resistance Against Fungal Pathogens by Pyramiding Chitinase and Wasabi Defensin Genes. Molecular Biotechnology. 56(9). 814–823. 18 indexed citations

Khan, Raham Sher, Valentine Otang Ntui, Dong Poh Chin, Ikuo Nakamura, & Masahiro Mii. (2010). Production of marker-free disease-resistant potato using isopentenyl transferase gene as a positive selection marker. Plant Cell Reports. 30(4). 587–597. 29 indexed citations

Nakamura, Ikuo, et al.. (2008). Molecular Evidence for Progenitorial Species of Garden Petunias Using Polymerase Chain Reaction—Restriction Fragment Length Polymorphism Analysis of the Chs-j Gene. HortScience. 43(2). 300–303. 3 indexed citations

Ohta, Satoshi, et al.. (2006). Genetic Characterization of Flowering Cherries (Prunus subgenus Cerasus) Using rp116-rp114 Spacer Sequences of Chloroplast DNA. Journal of the Japanese Society for Horticultural Science. 75(1). 72–78. 16 indexed citations

Sakamoto, Shinichi, Ryuji Ishikawa, & Ikuo Nakamura. (2006). Species identification of 6,000-years-old beans from Sannai-Maruyama site, Aomori, Japan. 39(1). 1–6. 1 indexed citations

Hosokawa, Keizo, et al.. (2006). The Sequences of the Spacer Region between the atpF and atpA Genes in the Plastid Genome Allows Discrimination among Three Varieties of Medicinal Angelica. Planta Medica. 72(6). 570–571. 11 indexed citations

10.

Hosokawa, Keizo, et al.. (2005). The sequences of the plastid gene rpl16 and the rpl16-rpl14 spacer region allow discrimination among six species of Scutellaria. Journal of Ethnopharmacology. 99(1). 105–108. 11 indexed citations

11.

Higa, Hiroki, et al.. (2004). A Basic Study on a Very Low-Level DC Current Amplifier Using Photocoupler Negative Feedback Circuits. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 467–470. 2 indexed citations

12.

Higa, Hiroki, et al.. (2004). Analysis of Noise Characteristics in a Very Low-Level DC Current Amplifier Using High-Ohmage Resistor Negative Feedback Circuit. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 471–474. 2 indexed citations

13.

Higa, Hiroki, Ikuo Nakamura, & N. Hoshimiya. (2004). A BAsic Study on Control Command Input Device Using Head Movement for FES System -Availability of Acceleration Sensors_. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(6). 1441–1445. 3 indexed citations

14.

Yamanaka, Shinşuke, et al.. (2002). Phylogenetic Origin of Waxy Rice Cultivars in Laos Based on Recent Observations for "Glutinous Rice Zone" and dCAPS Marker of Waxy Gene. Tropics. 11(2). 109–120. 6 indexed citations

15.

Nakamura, Ikuo, et al.. (2002). Development of PCR-based Fingerprinting Tool in Banana (Musa sp., AAA) and Conversion of Negative to Positive DNA Marker. HortScience. 37(7). 1108–1111. 4 indexed citations

16.

Watanabe, Takashi, et al.. (2001). Visualization of sudden-start flow between two concentric rotating cylinders with finite length. Journal of Visualization. 4(3). 223–230. 3 indexed citations

17.

Ogihara, Takehide, Hideaki Miura, Hiroto Kita, et al.. (1994). A case of chronic hepatitis C with interstitial pneumonitis after interferon .ALPHA.-2b administration during a long-term administration of sho-saiko-to.. Kanzo. 35(4). 302–308. 1 indexed citations

18.

Nakamura, Ikuo, et al.. (1984). A universal velocity distribution and turbulence properties in the shear flow on a rotating cylinder in a quiescent fluid. 3 indexed citations

19.

Nakamura, Ikuo, Keisuke Kitamura, N. Kaizuma, & Yuzo FUTSUHARA. (1984). Speciation of the genus Glycine. I. Electrophoretic properties of Kunitz trypsin inhibitor like proteins.. Ikushugaku zasshi. 34(4). 468–477. 2 indexed citations

20.

Nakamura, Ikuo, et al.. (1978). The laminar and turbulent boundary layers on some rotating bodies in axial flows. 30(1). 1–58.

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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