Kanji Noda

885 total citations
34 papers, 672 citations indexed

About

Kanji Noda is a scholar working on Organic Chemistry, Pharmaceutical Science and Molecular Biology. According to data from OpenAlex, Kanji Noda has authored 34 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 7 papers in Pharmaceutical Science and 5 papers in Molecular Biology. Recurrent topics in Kanji Noda's work include Advancements in Transdermal Drug Delivery (6 papers), Synthesis and Reactions of Organic Compounds (6 papers) and Synthesis and Characterization of Heterocyclic Compounds (5 papers). Kanji Noda is often cited by papers focused on Advancements in Transdermal Drug Delivery (6 papers), Synthesis and Reactions of Organic Compounds (6 papers) and Synthesis and Characterization of Heterocyclic Compounds (5 papers). Kanji Noda collaborates with scholars based in Japan and United Kingdom. Kanji Noda's co-authors include Tadanori Yano, Masayoshi Tsuji, Akira Nakagawa, Ryuhei Kodama, Hiroyuki Ide, Itsuo Nishioka, Akira Yagi, Nobuyuki Okamura, Kazuyuki Yokoyama and Motoyoshi Yamazaki and has published in prestigious journals such as Journal of Medicinal Chemistry, Life Sciences and European Journal of Pharmacology.

In The Last Decade

Kanji Noda

29 papers receiving 626 citations

Peers

Kanji Noda
Comparison fields: 5 of 91
  • Molecular Biology 205
  • Pharmaceutical Science 174
  • Dermatology 129
  • Organic Chemistry 113
  • Pharmacology 108
Replace Mei‐Na Jin with:
Mei‐Na Jin China
E. Christ-Hazelhof Netherlands
Kuan‐Han Lee Taiwan
Youliang Xie China
Lixiang Ren China
Amal M. Boctor United States
Koichi Metori Japan
Edwin van den Worm Netherlands
Jiang Jian-qin China
Kyoo-Seok Ahn South Korea
Mei‐Na Jin China View profile →
Citations per field, relative to Kanji Noda
Kanji Noda · 1×
Citations per year, relative to Kanji Noda
Kanji Noda · 1×

Countries citing papers authored by Kanji Noda

Since Specialization
Citations

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

Fields of papers citing papers by Kanji Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanji Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Kanji Noda. A scholar is included among the top collaborators of Kanji Noda 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 Kanji Noda. Kanji Noda 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
# Work Indexed citations
1 56
2 46
3 9
4 35
5 12
6 23
7 2
8 1
9 9
10
0
11
0
12 2
13 3
14 1
15 1
16 11
17 2
18 0
19 3
20 6

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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