Mitsuo Ebata

736 citations
33 papers · 602 · h-index 13

Impact in

Papers in

    • Chemical Synthesis and Analysis 4
    • Biopolymer Synthesis and Applications 3
    • Microbial Natural Products and Biosynthesis 8

Mitsuo Ebata

33 papers receiving 518 citations

Peers

Mitsuo Ebata
Comparison fields: 5 of 79
  • Biotechnology 123
  • Microbiology 58
  • Molecular Medicine 36
  • Pharmacology 116
  • Molecular Biology 385
Replace Hideo Takeshima with:
Hideo Takeshima Japan
Siân Rowsell United Kingdom
Rolando Lorenzetti Italy
John E. Toth United States
Kazuhiko Okamura United Kingdom
Michiko Takeuchi Germany
Mi‐Na Oh South Korea
S Kovacevic United States
Gisela Nass Germany
Jean-François Mayaux France
Mitsuo Ebata relative to Hideo Takeshima Japan Hideo Takeshima's profile →
Citations per field
00.5×4.8×
Hideo Takeshima · 1×
Citations per year

Countries citing papers authored by Mitsuo Ebata

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuo Ebata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitsuo Ebata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitsuo Ebata Line = papers co-authored together Mitsuo Ebata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965239
2 196252
3 197630
4 196625
5 198724
6
Studies on siomycin. I. Physicochemical properties of siomycins A, B and C.
196922
7 196917
8 196916
9 197616
10 196915
11 198813
12 198813
13 196413
14 196712
15 196611
16 197811
17 196211
18 196310
19 196810
20 198810

About Mitsuo Ebata

Mitsuo Ebata is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Biotechnology and Molecular Medicine, having authored 33 papers that have together received 602 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (8 papers), Enzyme Production and Characterization (5 papers), Chemical Synthesis and Analysis (4 papers), Synthesis and Biological Evaluation (3 papers), Biopolymer Synthesis and Applications (3 papers), Antibiotic Resistance in Bacteria (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Biotechnology (123 citations), Microbiology (58 citations), Molecular Medicine (36 citations), Pharmacology (116 citations) and Molecular Biology (385 citations). Mitsuo Ebata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Kazuyuki Morihara, Tatsushi Oka, Hiroshige Tsuzuki, Hideo Inoue, Hideo Ōtsuka, Kerry T. Yasunobu, Yasuo Takahashi, Gabor Lukacs, Kazuo Tori and Shôji Mizushima. Their work appears in journals such as The Journal of Antibiotics, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Tetrahedron Letters and Cellular and Molecular Life Sciences.

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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