Daisuke Izawa

766 citations
6 papers · 551 · h-index 6

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Ubiquitin and proteasome pathways
    • Genomics and Chromatin Dynamics
    • Photosynthetic Processes and Mechanisms
    • DNA Repair Mechanisms

Papers in

    • Ubiquitin and proteasome pathways 3
    • Genomics and Chromatin Dynamics 2
    • DNA Repair Mechanisms 1
    • Photosynthetic Processes and Mechanisms 1
    • 14-3-3 protein interactions 1
    • Fungal and yeast genetics research 1
    • Microtubule and mitosis dynamics 6

Daisuke Izawa

6 papers receiving 549 citations

Peers

Daisuke Izawa
Comparison fields: 5 of 47
  • Cell Biology 448
  • Molecular Biology 495
  • Plant Science 95
  • Oncology 58
  • Aging 3
Replace Yuu Kimata with:
Yuu Kimata United Kingdom
Gianluca Varetti Italy
Luying Jia United States
Katharina Overlack Germany
Florencia Rago United States
Brian E Snydsman United States
Cornelia Wandke Austria
Stefan Kemmler Switzerland
Elena Chiroli Italy
Young Hwi Kang United States
Daisuke Izawa relative to Yuu Kimata United Kingdom Yuu Kimata's profile →
Citations per field
00.5×3.5×
Yuu Kimata · 1×
Citations per year

Countries citing papers authored by Daisuke Izawa

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Izawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Daisuke Izawa, 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 Daisuke Izawa Line = papers co-authored together Daisuke Izawa links everyone, so they are left out of the graph.

All Works

About Daisuke Izawa

Daisuke Izawa is a scholar working on Molecular Biology, Cell Biology, Plant Science, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 551 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Ubiquitin and proteasome pathways (3 papers), Genomics and Chromatin Dynamics (2 papers), Chromosomal and Genetic Variations (2 papers), DNA Repair Mechanisms (1 paper), Photosynthetic Processes and Mechanisms (1 paper), 14-3-3 protein interactions (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Cell Biology (448 citations), Molecular Biology (495 citations), Plant Science (95 citations), Oncology (58 citations) and Aging (3 citations). Daisuke Izawa has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Jonathon Pines, Masayuki Yamamoto, Hiroyuki Yamano, Norman E. Davey, Anja Hagting, Jörg Mansfeld, Toby J. Gibson, Masuo Goto, Akira Yamashita and Julian Gannon. Their work appears in journals such as Developmental Cell, Nature, Nature Cell Biology and The Journal of Cell Biology.

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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