Motoki Takagi

5.3k total citations
184 papers, 4.3k citations indexed

About

Motoki Takagi is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Motoki Takagi has authored 184 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 83 papers in Pharmacology and 41 papers in Biotechnology. Recurrent topics in Motoki Takagi's work include Microbial Natural Products and Biosynthesis (79 papers), Marine Sponges and Natural Products (34 papers) and Fungal Biology and Applications (21 papers). Motoki Takagi is often cited by papers focused on Microbial Natural Products and Biosynthesis (79 papers), Marine Sponges and Natural Products (34 papers) and Fungal Biology and Applications (21 papers). Motoki Takagi collaborates with scholars based in Japan, United States and Netherlands. Motoki Takagi's co-authors include Kazuo Shin‐ya, Tomohisa Kuzuyama, Miho Izumikawa, Haruo Seto, Keiichiro Motohashi, Shams Tabrez Khan, Jun‐ya Ueda, Junko Hashimoto, Shunji Takahashi and Kazuhide Kaneda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Motoki Takagi

177 papers receiving 4.2k citations

Peers

Motoki Takagi
Comparison fields: 5 of 144
  • Molecular Biology 2.8k
  • Pharmacology 1.8k
  • Biotechnology 858
  • Organic Chemistry 746
  • Plant Science 337
Replace Xian‐Wen Yang with:
Xian‐Wen Yang China
Hirofumi Nakano Japan
Sotirios C. Kampranis Greece
Christina D. Smolke United States
Ding Li China
Claudia Schmidt‐Dannert United States
Wei‐Guang Wang China
Peng Sun China
Bingnan Han China
Xian‐Wen Yang China View profile →
Citations per field, relative to Motoki Takagi
Motoki Takagi · 1×
Citations per year, relative to Motoki Takagi
Motoki Takagi · 1×

Countries citing papers authored by Motoki Takagi

Since Specialization
Citations

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

Fields of papers citing papers by Motoki Takagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motoki Takagi

This figure shows the co-authorship network connecting the top 25 collaborators of Motoki Takagi. A scholar is included among the top collaborators of Motoki Takagi 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 Motoki Takagi. Motoki Takagi 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 6
2 0
3 4
4 4
5 1
6 1
7 1
8 35
9 2
10 9
11 1
12 10
13 39
14 1
15
Total Synthesis of Largazole and Its Biological Evaluation
2
16 30
17 13
18
Reinforcement Learning for POMDP Using State Classification.
1
19
Knowledge-based recurrent neural networks in Reinforcement Learning
3
20 1

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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