Masayuki Machida

5.9k citations
47 papers · 2.3k indexed · 1 hit paper · h-index 21
Topics
Microbial Natural Products and Biosynthesis (22 papers)Microbial Metabolic Engineering and Bioproduction (10 papers)Fungal and yeast genetics research (9 papers)

In The Last Decade

Masayuki Machida

47 papers receiving 2.2k citations

Hit Papers

System-level identification of transcriptional circuits u...20052026201220192005200400600

Peers

Masayuki Machida
Comparison fields: 5 of 113
  • Molecular Biology 1.1k
  • Plant Science 720
  • Pharmacology 580
  • Endocrine and Autonomic Systems 556
  • Cell Biology 251
Replace Nan Wu with:
Nan Wu China
Yuhong Yang China
Hironori Aramaki Japan
M. Isabel G. Roncero Spain
Vítor Costa Portugal
Carl D. Johnson United States
Xiaoli He China
Jae Hyung An South Korea
Carol S. Ringelberg United States
Alan K. Chang China
Masayuki Machida relative to Nan Wu China Nan Wu's profile →
Citations per field
00.5×5.9×
Nan Wu · 1×
Citations per year

Countries citing papers authored by Masayuki Machida

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Machida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Machida

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Machida. A scholar is included among the top collaborators of Masayuki Machida 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 Masayuki Machida. Masayuki Machida 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
#WorkIndexed citations
1 4
2 9
3 17
4 2
5 8
6 120
7 33
8 85
9 5
10
Aspergillus : molecular biology and genomics
148
11 10
12 32
13 42
14 3
15 6
16 31
17 3
18 1
19 29
20 11

About Masayuki Machida

Masayuki Machida is a scholar working on Pharmacology, Biotechnology and Aging, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (22 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Fungal and yeast genetics research (9 papers). The work is most often cited by research in Aging (146 citations), Endocrine and Autonomic Systems (556 citations) and Pharmacology (580 citations). Masayuki Machida has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Katsuya Gomi, Motoaki Sano, Hiroki R. Ueda, Wenbin Chen, Satoko Hayashi, Yasufumi Shigeyoshi, Seiichi Hashimoto, Masamitsu Iino, Myco Umemura and Hideaki Koike. Their work appears in journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Genetics.

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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