Naoyuki Iida

530 total citations
26 papers, 452 citations indexed

About

Naoyuki Iida is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Naoyuki Iida has authored 26 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Electrical and Electronic Engineering and 6 papers in Computational Mechanics. Recurrent topics in Naoyuki Iida's work include Ion-surface interactions and analysis (6 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers) and Electron and X-Ray Spectroscopy Techniques (4 papers). Naoyuki Iida is often cited by papers focused on Ion-surface interactions and analysis (6 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers) and Electron and X-Ray Spectroscopy Techniques (4 papers). Naoyuki Iida collaborates with scholars based in Japan, China and United States. Naoyuki Iida's co-authors include Seisuke Hattori, Sachiko Okabe, Hirota Fujiki, Eisaburo Sueoka, Atsumasa Komori, Masaru Suganuma, Seung Jae Kim, Shun Nakamura, Hirofumi Danbara and Hiromichi Shimizu and has published in prestigious journals such as Journal of Neuroscience, Biochemical and Biophysical Research Communications and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Naoyuki Iida

24 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoyuki Iida Japan 10 206 63 61 57 52 26 452
Zhenyu Li China 12 154 0.7× 49 0.8× 35 0.6× 48 0.8× 39 0.8× 28 512
Kenji Yamamoto Japan 11 268 1.3× 33 0.5× 28 0.5× 26 0.5× 34 0.7× 22 535
Luis Castro‐Sánchez Mexico 16 271 1.3× 57 0.9× 25 0.4× 18 0.3× 155 3.0× 36 733
Kee Hun South Korea 15 282 1.4× 111 1.8× 38 0.6× 24 0.4× 61 1.2× 25 560
Kei Hashimoto Japan 14 305 1.5× 44 0.7× 35 0.6× 47 0.8× 17 0.3× 34 599
Maria Alba Sorolla Spain 14 494 2.4× 51 0.8× 24 0.4× 183 3.2× 55 1.1× 29 813
Sunil K. Sukumaran Singapore 11 339 1.6× 77 1.2× 12 0.2× 20 0.4× 52 1.0× 15 573
Xiuli Zhang China 11 242 1.2× 30 0.5× 15 0.2× 20 0.4× 37 0.7× 24 400
Seigo Usuki Japan 14 430 2.1× 73 1.2× 29 0.5× 130 2.3× 105 2.0× 37 750

Countries citing papers authored by Naoyuki Iida

Since Specialization
Citations

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

Fields of papers citing papers by Naoyuki Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoyuki Iida

This figure shows the co-authorship network connecting the top 25 collaborators of Naoyuki Iida. A scholar is included among the top collaborators of Naoyuki Iida 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 Naoyuki Iida. Naoyuki Iida 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
2.
Otsuka, Hiroko, Yasushi Kawasaki, Naoyuki Iida, et al.. (2014). Aralin, a type II ribosome-inactivating protein from Aralia elata, exhibits selective anticancer activity through the processed form of a 110-kDa high-density lipoprotein-binding protein: A promising anticancer drug. Biochemical and Biophysical Research Communications. 453(1). 117–123. 12 indexed citations
3.
Iida, Naoyuki, et al.. (2013). Proteomic identification of p38 MAP kinase substrates using in vitro phosphorylation. Electrophoresis. 35(4). 554–562. 6 indexed citations
4.
Iida, Naoyuki, et al.. (2013). Design and evaluation of microheater combined QCM array for thermal desorption spectroscopy. 234–237. 5 indexed citations
5.
Sakurai, Makoto, Naoyuki Iida, Masahide Tona, et al.. (2011). Surface Modification Using Highly Charged ions. AIP conference proceedings. 261–265. 1 indexed citations
6.
7.
Sakurai, Makoto, Wei-Min Zhang, K. Asakura, et al.. (2011). Modification of HOPG Surface on Irradiation by Highly Charged Ar11+ and Xe26+ Ions Investigated by SEM, ESR, SQUID, and Raman Measurements. e-Journal of Surface Science and Nanotechnology. 9. 241–246. 4 indexed citations
9.
Sakurai, Makoto, Weimin Zhang, K. Asakura, et al.. (2011). SEM and ESR measurements on HOPG surfaces irradiated with Ar11+and Ar1+. Physica Scripta. T144. 14043–14043. 4 indexed citations
10.
Sakurai, Makoto, et al.. (2010). Surface Modification Using Highly Charged Ions. IEEJ Transactions on Electronics Information and Systems. 130(10). 1730–1734. 1 indexed citations
11.
Ohta, Etsuro, Fumitaka Kawakami, Tatsunori Maekawa, et al.. (2009). I2020T leucine-rich repeat kinase 2, the causative mutant molecule of familial Parkinson’s disease, has a higher intracellular degradation rate than the wild-type molecule. Biochemical and Biophysical Research Communications. 390(3). 710–715. 23 indexed citations
12.
Hattori, Seisuke, Naoyuki Iida, & Hidetaka Kosako. (2008). Identification of protein kinase substrates by proteomic approaches. Expert Review of Proteomics. 5(3). 497–505. 9 indexed citations
13.
Kobayashi, Michimoto, Takuya Katagiri, Hidetaka Kosako, Naoyuki Iida, & Seisuke Hattori. (2007). Global analysis of dynamic changes in lipid raft proteins during T‐cell activation. Electrophoresis. 28(12). 2035–2043. 15 indexed citations
14.
Kaneko, Yukio, Naoyuki Iida, & Yoichiro Matsumoto. (2007). Effective Heat therapy Controlling Heat Deposition of Microbubbles in the Ultrasound Field. AIP conference proceedings. 911. 157–163. 2 indexed citations
15.
Iida, Naoyuki & Tohru Kozasa. (2004). Identification and Biochemical Analysis of GRIN1 and GRIN2. Methods in enzymology on CD-ROM/Methods in enzymology. 390. 475–483. 21 indexed citations
16.
Suganuma, Masami, Sachiko Okabe, Miki Kurusu, et al.. (2002). Discrete roles of cytokines, TNF-α, IL-1, IL-6 in tumor promotion and cell transformation. International Journal of Oncology. 20(1). 131–6. 59 indexed citations
17.
Iida, Naoyuki, et al.. (2001). Requirement of Ras for the Activation of Mitogen-Activated Protein Kinase by Calcium Influx, cAMP, and Neurotrophin in Hippocampal Neurons. Journal of Neuroscience. 21(17). 6459–6466. 68 indexed citations
18.
Tashiro, Fumio, et al.. (1998). OVEREXPRESSION OF C-MYC GENE IS REQUIRED FOR TAMOXIFEN-ELICITED APOPTOSIS IN AFLATOXIN B_1-INDUCED RAT HEPATOMA CELLS. The Journal of Toxicological Sciences. 23. 300. 1 indexed citations
19.
Iida, Naoyuki. (1998). Suppression of arachidonic acid cascade-mediated apoptosis in aflatoxin B1-induced rat hepatoma cells by glucocorticoids. Carcinogenesis. 19(7). 1191–1202. 26 indexed citations
20.
Sueoka, Eisaburo, Shinji Nishiwaki, Sachiko Okabe, et al.. (1995). Activation of Protein Kinase C by Mycobacterial Cord Factor, Trehalose 6‐Monomycolate, Resulting in Tumor Necrosis Factor‐α Release in Mouse Lung Tissues. Japanese Journal of Cancer Research. 86(8). 749–755. 18 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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