Keiichi Enomoto

1.1k citations
39 papers · 902 indexed · h-index 16
Topics
Microbial Natural Products and Biosynthesis (7 papers)Microbial Metabolism and Applications (7 papers)Neuroscience of respiration and sleep (5 papers)

In The Last Decade

Keiichi Enomoto

37 papers receiving 859 citations

Peers

Keiichi Enomoto
Comparison fields: 5 of 118
  • Molecular Biology 328
  • Pharmacology 185
  • Biotechnology 168
  • Pharmacology 131
  • Cell Biology 128
Replace Jin I. Lee with:
Jin I. Lee South Korea
Carl J. Pfeiffer United States
Miaomiao Guo China
Lucia Potenza Italy
Hiromasa Okada Japan
Mitsuru Watanabe Japan
Xia Zhu China
I. Trautschold Germany
R B Clark United States
Rong He China
Keiichi Enomoto relative to Jin I. Lee South Korea Jin I. Lee's profile →
Citations per field
00.5×1.5×2.2×
Jin I. Lee · 1×
Citations per year

Countries citing papers authored by Keiichi Enomoto

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Enomoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Enomoto

This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Enomoto. A scholar is included among the top collaborators of Keiichi Enomoto 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 Keiichi Enomoto. Keiichi Enomoto 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 19
2 15
3 5
4 8
5 27
6 149
7 31
8 10
9 1
10 7
11 58
12 0
13 21
14 8
15 1
16 127
17 1
18
Separation and properties of a regulatory GTPase activity associated with the adenylate cyclase system in rat brain synaptic plasma membranes.
3
19 2
20 51

About Keiichi Enomoto

Keiichi Enomoto is a scholar working on Biotechnology, Endocrine and Autonomic Systems and Pharmacology, having authored 39 papers that have together received 902 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (7 papers), Microbial Metabolism and Applications (7 papers) and Neuroscience of respiration and sleep (5 papers). The work is most often cited by research in Pharmacology (185 citations), Biotechnology (168 citations) and Developmental Biology (32 citations). Keiichi Enomoto has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include D. Michael Gill, Ryo Sato, Shoji Tajima, Satoshi Nonaka, Tokuji Unno, Akihiro Katada, Maiko Fujimori, Xi Zhang, S. Fujita and F. Peter Guengerich. Their work appears in journals such as Journal of Biological Chemistry, Brain Research and Biochemical and Biophysical Research Communications.

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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