Daizo Hamada

3.1k citations
52 papers · 2.7k · h-index 24

Impact in

    • Protein Structure and Dynamics
    • Protein Interaction Studies and Fluorescence Analysis
    • Prion Diseases and Protein Misfolding
    • Lipid Membrane Structure and Behavior
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

    • Protein Structure and Dynamics 21
    • Lipid Membrane Structure and Behavior 6
    • Alzheimer's disease research and treatments 9

Daizo Hamada

51 papers receiving 2.6k citations

Peers

Daizo Hamada
Comparison fields: 5 of 113
  • Molecular Biology 1.9k
  • Physiology 622
  • Food Science 463
  • Endocrinology 119
  • Biomaterials 245
Replace Arturo Muga with:
Arturo Muga Spain
Musti J. Swamy India
Taiji Imoto Japan
Ramakrishnan Nagaraj India
José Luis R. Arrondo Spain
Chuen‐Shang C. Wu United States
Bruno Maggio Argentina
Margarita Menéndez Spain
Pierre Lavigne Canada
Marcelo M. Santoro Brazil
Daizo Hamada relative to Arturo Muga Spain Arturo Muga's profile →
Citations per field
00.5×3.3×
Arturo Muga · 1×
Citations per year

Countries citing papers authored by Daizo Hamada

Since Specialization
Citations

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

Fields of papers citing papers by Daizo Hamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003292
2 2002236
3 1996230
4 2004199
5 1995153
6 1997121
7 1993102
8 201398
9 199486
10 199984
11 200481
12 199679
13 201177
14 199373
15 200870
16 199669
17 200064
18 199762
19 201058
20 200845

About Daizo Hamada

Daizo Hamada is a scholar working on Molecular Biology, Physiology, Materials Chemistry, Endocrinology and Food Science, having authored 52 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (21 papers), Enzyme Structure and Function (9 papers), Alzheimer's disease research and treatments (9 papers), Proteins in Food Systems (7 papers), Vibrio bacteria research studies (6 papers), Escherichia coli research studies (6 papers), Lipid Membrane Structure and Behavior (6 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Physiology (622 citations), Food Science (463 citations), Endocrinology (119 citations) and Biomaterials (245 citations). Daizo Hamada has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yuji Goto, Christopher M. Dobson, Tadato Ban, Hironobu Naiki, Kazuhiro Hasegawa, Masaru Hoshino, Shin-ichi Segawa, Yutaka Kuroda, Toshiki Tanaka and Mikio Kataoka. Their work appears in journals such as Biochemistry, FEBS Journal, Journal of Molecular Biology, Journal of Biological Chemistry and Protein Science.

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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