Noriko Kodama

1.7k total citations
47 papers, 1.3k citations indexed

About

Noriko Kodama is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Noriko Kodama has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Pharmacology and 8 papers in Pharmacology. Recurrent topics in Noriko Kodama's work include Fungal Biology and Applications (15 papers), Microbial bioremediation and biosurfactants (6 papers) and Polysaccharides and Plant Cell Walls (6 papers). Noriko Kodama is often cited by papers focused on Fungal Biology and Applications (15 papers), Microbial bioremediation and biosurfactants (6 papers) and Polysaccharides and Plant Cell Walls (6 papers). Noriko Kodama collaborates with scholars based in Japan, United States and Italy. Noriko Kodama's co-authors include Hiroaki Nanba, Kiyoshi Komuta, Norio Sakai, Ryu Shinke, Kenji Aoki, Naoaki Saito, Akihiro Asakawa, Akio Inui, Shuichiro Murakami and Yuki Masuda and has published in prestigious journals such as PLANT PHYSIOLOGY, Chemosphere and Gene.

In The Last Decade

Noriko Kodama

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noriko Kodama Japan 21 603 388 349 238 221 47 1.3k
T. Shivanandappa India 25 204 0.3× 462 1.2× 764 2.2× 237 1.0× 347 1.6× 74 2.0k
Amos O. Abolaji Nigeria 22 293 0.5× 399 1.0× 584 1.7× 195 0.8× 272 1.2× 86 1.9k
Jianhua Qi China 26 429 0.7× 893 2.3× 501 1.4× 180 0.8× 146 0.7× 120 1.9k
Chengyuan Lin Hong Kong 28 217 0.4× 739 1.9× 235 0.7× 146 0.6× 282 1.3× 75 1.9k
Danshen Zhang China 15 188 0.3× 653 1.7× 311 0.9× 88 0.4× 93 0.4× 50 1.6k
Palanivel Ganesan South Korea 24 154 0.3× 562 1.4× 264 0.8× 225 0.9× 124 0.6× 62 2.0k
Alexandra Acco Brazil 24 183 0.3× 440 1.1× 269 0.8× 75 0.3× 243 1.1× 79 1.5k
Sardul Singh Sandhu India 19 447 0.7× 703 1.8× 468 1.3× 171 0.7× 134 0.6× 58 1.7k
Kumar Sapkota South Korea 24 207 0.3× 661 1.7× 303 0.9× 195 0.8× 96 0.4× 48 1.4k
Qiuxia He China 20 150 0.2× 582 1.5× 184 0.5× 99 0.4× 105 0.5× 61 1.2k

Countries citing papers authored by Noriko Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Noriko Kodama. A scholar is included among the top collaborators of Noriko Kodama 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 Kodama. Noriko Kodama 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.
Yoshihara, Ryouhei, et al.. (2019). Uptake mechanisms of polychlorinated biphenyls in Cucurbita pepo via xylem sap containing major latex-like proteins. Environmental and Experimental Botany. 162. 399–405. 26 indexed citations
2.
Kodama, Noriko & Junko Koyama. (2016). Jigsaw Method Is Used to Promote a First Year-student's Understanding of Integrated Subjects at Kobe Pharmaceutical University. YAKUGAKU ZASSHI. 136(3). 381–388. 4 indexed citations
3.
4.
Inui, Hideyuki, et al.. (2013). A Major Latex-Like Protein Is a Key Factor in Crop Contamination by Persistent Organic Pollutants  . PLANT PHYSIOLOGY. 161(4). 2128–2135. 52 indexed citations
5.
Kodama, Noriko, Shigeto Mizuno, Hiroaki Nanba, & Naoaki Saito. (2010). Potential Antitumor Activity of a Low-Molecular-Weight Protein Fraction from Grifola frondosa Through Enhancement of Cytokine Production. Journal of Medicinal Food. 13(1). 20–30. 16 indexed citations
6.
Horibe, Hideki, Noriko Kodama, Yoshihiro Murata, et al.. (2009). Clinical outcomes of primary stenting for acute coronary syndrome based on selective use of sirolimus-eluting stents. 24(1). 13–20. 1 indexed citations
7.
Kodama, Noriko, et al.. (2004). Administration of a Polysaccharide from Grifola frondosa Stimulates Immune Function of Normal Mice. Journal of Medicinal Food. 7(2). 141–145. 44 indexed citations
8.
Kodama, Noriko, Kiyoshi Komuta, & Hiroaki Nanba. (2003). Effect of Maitake ( Grifola frondosa ) D-Fraction on the Activation of NK Cells in Cancer Patients. Journal of Medicinal Food. 6(4). 371–377. 106 indexed citations
9.
Kodama, Noriko, et al.. (2003). Stimulation of the natural immune system in normal mice by polysaccharide from maitake mushroom. Mycoscience. 44(3). 257–261. 29 indexed citations
10.
Kodama, Noriko, Kiyoshi Komuta, Norio Sakai, & Hiroaki Nanba. (2002). Effects of D-Fraction, a Polysaccharide from Grifola frondosa on Tumor Growth Involve Activation of NK Cells.. Biological and Pharmaceutical Bulletin. 25(12). 1647–1650. 100 indexed citations
11.
Kodama, Noriko, et al.. (2002). A Polysaccharide, Extract From Grifola frondosa, Induces Th-1 Dominant Responses in Carcinoma-Bearing BALB/c Mice. The Japanese Journal of Pharmacology. 90(4). 357–360. 55 indexed citations
12.
Nishizaki, Tomoyuki, Kanto Nagai, Tamotsu Nomura, et al.. (2002). A new neuromodulatory pathway with a glial contribution mediated via A2a adenosine receptors. Glia. 39(2). 133–147. 107 indexed citations
13.
Matsui, Ken, Noriko Kodama, & Hiroaki Nanba. (2001). Effects of Maitake ( Grifola frondosa ) D-Fraction on the carcinoma angiogenesis. Cancer Letters. 172(2). 193–198. 22 indexed citations
14.
Tozaki‐Saitoh, Hidetoshi, Takeshi Kanno, Tamotsu Nomura, et al.. (2001). Role of glial glutamate transporters in the facilitatory action of FK960 on hippocampal neurotransmission. Molecular Brain Research. 97(1). 7–12. 4 indexed citations
15.
Kodama, Noriko, et al.. (2001). Addition of Maitake D-fraction Reduces the Effective Dosage of Vancomycin for the Treatment of Listeria-Infected Mice. The Japanese Journal of Pharmacology. 87(4). 327–332. 32 indexed citations
16.
Kodama, Noriko, et al.. (2000). Effects of Maitake (Grifola frondosa) Polysaccharide on Collagen-Induced Arthritis in Mice. The Japanese Journal of Pharmacology. 84(3). 293–300. 34 indexed citations
17.
Kodama, Noriko. (1993). Behavioral development and strain differences in perinatal mice (Mus musculus).. Journal of comparative psychology. 107(1). 91–98. 5 indexed citations
18.
Kodama, Noriko, et al.. (1992). A New Enzymatic Assay Method of Sulfated Bile Acids in Urine. Medical Entomology and Zoology. 21(4). 249–258. 11 indexed citations
19.
Kodama, Noriko, Yukari Miki, Takashi HIRAMUNE, et al.. (1991). Typing of Rhodococcus equi Isolated from Submaxillary Lymph Nodes of Pigs in Japan. Journal of Veterinary Medicine Series B. 38(1-10). 299–302. 18 indexed citations
20.
Kodama, Noriko, et al.. (1984). The development of spontaneous body movement in prenatal and perinatal mice. Developmental Psychobiology. 17(2). 139–150. 29 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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