Midori Iida

1.4k total citations
72 papers, 1.1k citations indexed

About

Midori Iida is a scholar working on Nuclear and High Energy Physics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Midori Iida has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nuclear and High Energy Physics, 21 papers in Molecular Biology and 13 papers in Materials Chemistry. Recurrent topics in Midori Iida's work include Magnetic confinement fusion research (25 papers), Fusion materials and technologies (13 papers) and Ionosphere and magnetosphere dynamics (10 papers). Midori Iida is often cited by papers focused on Magnetic confinement fusion research (25 papers), Fusion materials and technologies (13 papers) and Ionosphere and magnetosphere dynamics (10 papers). Midori Iida collaborates with scholars based in Japan, United States and South Korea. Midori Iida's co-authors include Y. Terumichi, Takashi Maekawa, S. Tanaka, H. Tanaka, S. Ide, Masahiko Nakamura, K. Ogura, Hiroshi Sakagami, K. Hanada and Nobuyuki Kuribayashi and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Midori Iida

70 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Midori Iida Japan 20 382 342 216 112 101 72 1.1k
S. Okada Japan 25 360 0.9× 1.2k 3.6× 187 0.9× 120 1.1× 88 0.9× 99 2.2k
Yoshihisa Yano Japan 32 219 0.6× 1.4k 4.1× 232 1.1× 26 0.2× 75 0.7× 124 2.7k
Siming Liu China 27 687 1.8× 475 1.4× 895 4.1× 54 0.5× 8 0.1× 135 2.1k
Hideki Uchiyama Japan 19 241 0.6× 288 0.8× 330 1.5× 13 0.1× 24 0.2× 69 1.2k
S. Horiuchi Japan 23 307 0.8× 242 0.7× 718 3.3× 13 0.1× 43 0.4× 105 1.4k
Solomon F.D. Paul India 22 121 0.3× 521 1.5× 41 0.2× 93 0.8× 16 0.2× 120 1.5k
M. Fukushima Japan 16 276 0.7× 122 0.4× 62 0.3× 16 0.1× 13 0.1× 116 938
G. Gialanella Italy 21 179 0.5× 254 0.7× 18 0.1× 82 0.7× 30 0.3× 79 1.3k
Takeshi Nagasawa Japan 19 132 0.3× 206 0.6× 210 1.0× 23 0.2× 15 0.1× 85 1.2k
H. Ishiyama Japan 19 336 0.9× 261 0.8× 13 0.1× 31 0.3× 112 1.1× 105 1.3k

Countries citing papers authored by Midori Iida

Since Specialization
Citations

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

Fields of papers citing papers by Midori Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Midori Iida

This figure shows the co-authorship network connecting the top 25 collaborators of Midori Iida. A scholar is included among the top collaborators of Midori 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 Midori Iida. Midori 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
1.
Iida, Midori, Kenta Yagi, Mitsuhiro Goda, et al.. (2024). A network-based trans-omics approach for predicting synergistic drug combinations. SHILAP Revista de lepidopterología. 4(1). 154–154. 7 indexed citations
2.
Iida, Midori, M Iwata, Toshiyuki Ko, et al.. (2024). Network-based identification of diagnosis-specific trans-omic biomarkers via integration of multiple omics data. Biosystems. 236. 105122–105122. 3 indexed citations
3.
Suzuki, Miyuki, Midori Iida, Toshinori Hayashi, & Kenichi Suzuki. (2023). CRISPR-Cas9-Based Functional Analysis in Amphibians: Xenopus laevis, Xenopus tropicalis, and Pleurodeles waltl. Methods in molecular biology. 2637. 341–357.
4.
Nomura, Seitaro, et al.. (2021). Prediction of single-cell mechanisms for disease progression in hypertrophic remodelling by a trans-omics approach. Scientific Reports. 11(1). 8112–8112. 6 indexed citations
5.
Iida, Midori, Miyuki Suzuki, Yuto Sakane, et al.. (2020). A simple and practical workflow for genotyping of CRISPR–Cas9‐based knockout phenotypes using multiplexed amplicon sequencing. Genes to Cells. 25(7). 498–509. 10 indexed citations
6.
Iida, Midori, Satoshi Fujii, Junichi Yamamoto, et al.. (2020). Genome-wide screening reveals a role for subcellular localization of CRBN in the anti-myeloma activity of pomalidomide. Scientific Reports. 10(1). 4012–4012. 28 indexed citations
7.
Iida, Midori, Tetsuro Agusa, Mari Ochiai, et al.. (2020). Effects of prenatal bisphenol A exposure on the hepatic transcriptome and proteome in rat offspring. The Science of The Total Environment. 720. 137568–137568. 23 indexed citations
8.
Sakane, Yuto, Midori Iida, Takashi Hasebe, et al.. (2017). Functional analysis of thyroid hormone receptor beta in Xenopus tropicalis founders using CRISPR-Cas. Biology Open. 7(1). 42 indexed citations
9.
Sakane, Yuto, Midori Iida, Miyuki Suzuki, et al.. (2016). Rapid and efficient analysis of gene function using CRISPR-Cas9 in Xenopus tropicalis founders. 4 indexed citations
10.
Iida, Midori, Satoshi Fujii, Masaya Uchida, et al.. (2016). Identification of aryl hydrocarbon receptor signaling pathways altered in TCDD-treated red seabream embryos by transcriptome analysis. Aquatic Toxicology. 177. 156–170. 10 indexed citations
11.
Sakane, Yuto, Midori Iida, Miyuki Suzuki, et al.. (2016). Rapid and efficient analysis of gene function using CRISPR‐Cas9 in Xenopus tropicalis founders. Genes to Cells. 21(7). 755–771. 24 indexed citations
12.
Iida, Midori, et al.. (2013). Potencies of Red Seabream AHR1- and AHR2-Mediated Transactivation by Dioxins: Implication of Both AHRs in Dioxin Toxicity. Environmental Science & Technology. 47(6). 2877–2885. 27 indexed citations
13.
Iida, Midori, et al.. (2012). Toxic effects of 2,3,7,8-tetrachlorodibenzo-p-dioxin on the peripheral nervous system of developing red seabream (Pagrus major). Aquatic Toxicology. 128-129. 193–202. 14 indexed citations
14.
Nagata, Masayoshi, Hiroshi Hasegawa, N. Fukumoto, et al.. (2003). Self-Reversal Phenomena of Toroidal Current by Reversing the External Toroidal Field in Helicity-Driven Toroidal Plasmas. Physical Review Letters. 90(22). 225001–225001. 8 indexed citations
15.
16.
Takahashi, Hideo, Hiroshi Sakagami, Hisayuki Ohata, et al.. (1996). Ca2+ mobilization during cell death induction by sodium 5, 6-benzylidene-L-ascorbate.. PubMed. 16(5A). 2629–34. 1 indexed citations
17.
Iida, Midori, et al.. (1995). Posttraumatic intestinal stenosis: clinical and radiographic features in four patients.. Radiology. 194(3). 813–815. 21 indexed citations
18.
Masamune, S., et al.. (1995). Boundary Condition Studies in a Reversed-Field Pinch. Fusion Technology. 27(3T). 293–296. 3 indexed citations
19.
Hanada, K., H. Tanaka, Midori Iida, et al.. (1991). Sawtooth stabilization by localized electron cyclotron heating in a tokamak plasma. Physical Review Letters. 66(15). 1974–1977. 34 indexed citations
20.
Ogura, K., H. Tanaka, S. Ide, et al.. (1990). Toroidal plasma current startup and sustainment by lower hybrid waves in the WT-3 tokamak. Nuclear Fusion. 30(4). 611–624. 28 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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