Noriko Asami

1.5k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Noriko Asami is a scholar working on Molecular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Noriko Asami has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Medicine, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Noriko Asami's work include Hydrogels: synthesis, properties, applications (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). Noriko Asami is often cited by papers focused on Hydrogels: synthesis, properties, applications (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). Noriko Asami collaborates with scholars based in Japan and Norway. Noriko Asami's co-authors include Takashi Miyata, Tadashi Uragami, Yoshikazu Sugimoto, Egon Amann, Masako Wagatsuma, T. Suzuki, Michael Morr, Yasumasa KUWAHARA, Shigeru Matsuyama and Sanae Uchida and has published in prestigious journals such as Nature, Macromolecules and Gene.

In The Last Decade

Noriko Asami

9 papers receiving 1.1k citations

Hit Papers

A reversibly antigen-responsive hydrogel 1999 2026 2008 2017 1999 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noriko Asami Japan 9 539 513 345 204 188 9 1.2k
Katsumi Uchida Japan 15 804 1.5× 693 1.4× 426 1.2× 390 1.9× 183 1.0× 31 1.7k
Tsuyoshi Shimoboji United States 11 429 0.8× 370 0.7× 470 1.4× 503 2.5× 383 2.0× 15 1.5k
Mark A. Ward United Kingdom 6 452 0.8× 316 0.6× 438 1.3× 536 2.6× 107 0.6× 7 1.1k
Xiaoye Gao China 12 380 0.7× 241 0.5× 357 1.0× 167 0.8× 177 0.9× 16 854
Satish Nayak United States 11 960 1.8× 533 1.0× 539 1.6× 557 2.7× 239 1.3× 12 1.8k
Anthony E. English United States 17 385 0.7× 425 0.8× 169 0.5× 115 0.6× 241 1.3× 40 1.1k
Mallika Das Canada 6 406 0.8× 282 0.5× 232 0.7× 256 1.3× 47 0.3× 6 833
Sevil Dinçer Türkiye 17 394 0.7× 278 0.5× 500 1.4× 469 2.3× 414 2.2× 37 1.3k
Sivanand S. Pennadam United Kingdom 12 582 1.1× 488 1.0× 681 2.0× 838 4.1× 361 1.9× 13 1.9k
Torsten Rossow Germany 16 287 0.5× 512 1.0× 388 1.1× 371 1.8× 155 0.8× 20 1.2k

Countries citing papers authored by Noriko Asami

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Asami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Asami

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

All Works

9 of 9 papers shown
1.
Miyata, Takashi, et al.. (2010). Controlled permeation of model drugs through a bioconjugated membrane with antigen–antibody complexes as reversible crosslinks. Polymer Journal. 42(10). 834–837. 12 indexed citations
2.
Miyata, Takashi, Noriko Asami, & Tadashi Uragami. (2009). Structural design of stimuli‐responsive bioconjugated hydrogels that respond to a target antigen. Journal of Polymer Science Part B Polymer Physics. 47(21). 2144–2157. 56 indexed citations
3.
Miyata, Takashi, et al.. (2006). Rapid response of a poly(acrylamide) hydrogel having a semi‐interpenetrating polymer network structure. Polymers for Advanced Technologies. 17(9-10). 794–797. 19 indexed citations
4.
Miyata, Takashi, et al.. (1999). A reversibly antigen-responsive hydrogel. Nature. 399(6738). 766–769. 921 indexed citations breakdown →
5.
Miyata, Takashi, Noriko Asami, & Tadashi Uragami. (1999). Preparation of an Antigen-Sensitive Hydrogel Using Antigen−Antibody Bindings. Macromolecules. 32(6). 2082–2084. 130 indexed citations
6.
Asami, Noriko, et al.. (1995). Sequences of two porcine glutamic acid decar☐ylases (65- and 67-kDa GAD). Gene. 152(2). 257–260. 9 indexed citations
7.
KUWAHARA, Yasumasa, Noriko Asami, Michael Morr, Shigeru Matsuyama, & T. Suzuki. (1994). Chemical Ecology of Astigmatid Mites XXXVIII Aggregation Pheromone and Kairomone Activity of Lardolure and Its Analogues against Lardoglyphus konoi and Carpoglyphus lactis. Applied Entomology and Zoology. 29(2). 253–257. 14 indexed citations
8.
Wagatsuma, Masako, et al.. (1993). Antibody recognition of the recombinant human nuclear antigens RNP 70 kD, SS-A, SS-B, Sm-B and Sm-D by autoimmune sera. Molecular Immunology. 30(16). 1491–1498. 10 indexed citations
9.
Sugimoto, Yoshikazu, et al.. (1989). Expression of P‐Glycoprotein mRNA in Human Gastric Tumors. Japanese Journal of Cancer Research. 80(10). 993–999. 13 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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