Katsumi Imada

6.2k citations
124 papers · 4.8k · h-index 41

Impact in

Papers in

    • Protein Structure and Dynamics 24
    • Photosynthetic Processes and Mechanisms 22
    • Lipid Membrane Structure and Behavior 14
    • Bacterial Genetics and Biotechnology 53

Katsumi Imada

121 papers receiving 4.7k citations

Peers

Katsumi Imada
Comparison fields: 5 of 138
  • Endocrinology 679
  • Structural Biology 115
  • Genetics 2.0k
  • Molecular Biology 2.9k
  • Condensed Matter Physics 379
Replace Zemer Gitai with:
Zemer Gitai United States
Shin‐Ichi Aizawa Japan
Michael D. Manson United States
Christine Jacobs‐Wagner United States
Ikuro Kawagishi Japan
Michio Homma Japan
Lotte Søgaard‐Andersen Germany
Seiji Kojima Japan
Tohru Minamino Japan
Mark C. Leake United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Katsumi Imada

Since Specialization
Citations

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

Fields of papers citing papers by Katsumi Imada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Katsumi Imada, 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 Katsumi Imada Line = papers co-authored together Katsumi Imada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001420
2 2015193
3 1991181
4 2008171
5 2004157
6 2008156
7 2009146
8 2011142
9 1992135
10 2007126
11 2003110
12 199499
13 200687
14 201184
15 201382
16 197981
17 200777
18 201072
19 201470
20 201069

About Katsumi Imada

Katsumi Imada is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Cell Biology and Cellular and Molecular Neuroscience, having authored 124 papers that have together received 4.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (53 papers), Enzyme Structure and Function (32 papers), Protein Structure and Dynamics (24 papers), Photosynthetic Processes and Mechanisms (22 papers), Photoreceptor and optogenetics research (16 papers), Lipid Membrane Structure and Behavior (14 papers), Bacteriophages and microbial interactions (14 papers) and Hemoglobin structure and function (12 papers). The work is most often cited by research in Endocrinology (679 citations), Structural Biology (115 citations), Genetics (2.0k citations), Molecular Biology (2.9k citations) and Condensed Matter Physics (379 citations). Katsumi Imada has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Keiichi Namba, Tohru Minamino, Miki Kinoshita, Fadel A. Samatey, Ferenc Vonderviszt, Michio Homma, Shigehiro Nagashima, Mayuko Sakuma, Yukio Furukawa and H. Matsunami. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, Journal of Molecular Biology, The Journal of Biochemistry and Biomolecules.

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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